家族性地中海热缺铁:来自JIR队列的211名成年患者的研究

IF 10.1 1区 医学 Q1 HEMATOLOGY
Ilenia Di Cola, Léa Savey, Marion Delplanque, Rim Bourguiba, Alessandra Bartoli, Zohra Aknouche, Fatima Bensalek, Isabelle Kone‐Paut, Linda Rossi‐Semerano, Isabelle Melki, Brigitte Bader‐Meunier, Piero Ruscitti, Bénédicte Neven, Pierre Quartier, Guilaine Boursier, Irina Giurgea, Laurence Cuisset, Gilles Grateau, Véronique Hentgen, Sophie Georgin‐Lavialle
{"title":"家族性地中海热缺铁:来自JIR队列的211名成年患者的研究","authors":"Ilenia Di Cola, Léa Savey, Marion Delplanque, Rim Bourguiba, Alessandra Bartoli, Zohra Aknouche, Fatima Bensalek, Isabelle Kone‐Paut, Linda Rossi‐Semerano, Isabelle Melki, Brigitte Bader‐Meunier, Piero Ruscitti, Bénédicte Neven, Pierre Quartier, Guilaine Boursier, Irina Giurgea, Laurence Cuisset, Gilles Grateau, Véronique Hentgen, Sophie Georgin‐Lavialle","doi":"10.1002/ajh.27549","DOIUrl":null,"url":null,"abstract":"<p>Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease worldwide associated with <i>MEFV</i> mutations. Patients display recurrent and self-limited attacks of fever, abdominal and thoracic pain [<span>1</span>]. There is no specific association between anemia and FMF, except that patients with chronic inflammation may have inflammatory microcytic anemia [<span>2</span>]. However, chronic anemia can lead to fatigue, and fatigue is known to be a trigger for FMF attacks [<span>2, 5</span>]. Therefore, patients with fatigue due to anemia may have more flare-ups of the disease and worse quality of life [<span>2</span>]. Iron deficiency can cause fatigue even in the absence of anemia [<span>3</span>]. Fatigue is also commonly reported in FMF [<span>2</span>]. Therefore, it may be beneficial to look for iron deficiency without anemia as one of the curable causes of fatigue in FMF, especially as fatigue may be considered a trigger of their attacks.</p>\n<p>Although a variety of laboratory assessments of iron status is available, serum ferritin, a circulating protein in equilibrium with tissue ferritin, is the most sensitive and specific test for detecting isolated iron deficiency [<span>4</span>]. However, the assessment of serum ferritin could be biased by the inflammatory background in an acute inflammatory attack of such an autoinflammatory disease because in case of a normal or high rate it may not inform on the real absence of iron deficiency.</p>\n<p>Our aim was to assess the prevalence of iron deficiency in FMF and its association with clinical features, laboratory parameters, and therapies.</p>\n<p>From 2016 to 2023, a retrospective evaluation of prospectively followed FMF patients at the French national FMF-reference center was performed to analyze the prevalence of iron deficiency and its association with clinical features, laboratory parameters, and therapies. The presence of iron deficiency was defined according to the ferritin threshold of our hospital laboratory (ferritin &lt; 27.0 ng/mL), thus, homogeneously collected and measured. Ferritin levels were collected from medical records of follow-up visits. Considering the retrospective nature of our study, we collected what reported in clinical chart of patients; however, some relevant parameters (i.e., transferrin saturation, serum transferrin receptor levels) were not included in the analyses since they are not performed in routine care.</p>\n<p>All FMF displayed two pathogenic exon 10 <i>MEFV</i> mutations either M694V (pMet694Val) and/or M694I (pMet694Ile). After collection of informed consents, we extracted data from the Juvenile Inflammatory Rheumatism (JIR) cohort, an international multicentric data repository authorized by the National Commission on Informatics and Liberties (CNIL, authorization number 914677).</p>\n<p>For the statistics, clinical features were exploratively compared, according to the presence of iron deficiency (ferritin &lt; 27.0 ng/mL) by <i>t</i>-tests for continuous or categorical variables, as appropriate. After, multivariate regression models were built to exploit the clinical risk profile of patients with ferritin &lt; 27.0 ng/mL. The selection process of variables started by a univariate analysis; any variable having a significant univariate test was tested as a possible candidate for the multivariate analysis. Additionally, variables were tested for multivariate analysis according to their clinical relevance. At the end of this multistep process, we built multivariate models, providing OR estimations of the clinical risk profile of patients with ferritin &lt; 27.0 ng/mL. A <i>p</i> value &lt; 0.05 was considered statistically significant. Patients with missing data were excluded from the analysis. The Statistics Package for Social Sciences (SPSS version 17.0, SPSS Inc.) was used for all analyses.</p>\n<p>Overall, 211 FMF were included, mostly female (60.2%) and with a mean age of 41.34 [18–89] years. Out of 208 patients with the value of ferritin reported in our database, 67 (31.80%) had a serum ferritin level &lt; 27 ng/mL and were defined as having iron deficiency. Among these, 61 (91.04%) were female and with a mean age of 36.81 [18–89] years. Among the 67 with iron deficiency, 42 (62.69%) displayed anemia (Hb &lt; 13.0 g/dL), including 40 female and 2 males. Patients with iron deficiency showed lower values of Hb (<i>p</i> &lt; 0.001), mean corpuscular volume (MCV) (<i>p</i> = 0.002), BMI (<i>p</i> = 0.044), weight (<i>p</i> &lt; 0.001), daily colchicine dose (<i>p</i> = 0.015), and creatinine (<i>p</i> = 0.005) and they were younger than those without iron deficiency (<i>p</i> = 0.011). No differences were retrieved comparing these two groups regarding inflammatory markers. Particularly, 52.24% of FMF with ferritin &lt; 27 showed normal inflammatory markers (Table S1). Among the 82 men, 6 showed a serum ferritin level &lt; 27 ng/mL. These patients did not significantly differ in main features compared with those without iron deficiency (Table S2).</p>\n<p>The difference between values of Hb and daily colchicine dose according to iron deficiency were also analyzed (Figure S1).</p>\n<p>In our cohort, both univariate and multivariate regression models were built to evaluate the clinical risk profile of patients with ferritin &lt; 27 ng/mL (Table 1). Based on univariate analyses, clinical relevance but also considering the number of patients characterized by ferritin &lt; 27 ng/mL, we built two multivariate regression models. One model comprised age, female sex, CRP, SAA, BMI, and colchicine doses whereas the other included age, female sex, CRP, SAA, colchicine doses, and biological disease-modifying antirheumatic drugs (bDMARDs). Despite not significant univariate analysis, CRP and SAA were added in the models considering the possible influence of the inflammatory process on ferritin levels [<span>6</span>]. We added bDMARDs in a model considering that more severe patients were probably treated with these drugs. In the first model, age (OR: 0.97, 95% CI: 0.95–1.00, <i>p</i> = 0.041) and female sex (OR: 13.77, 95% CI: 4.96–38.18, <i>p</i> &lt; 0.001) were significantly and independently associated with the presence of ferritin &lt; 27 ng/mL. Similarly, in the other model, age (OR: 0.97, 95% CI: 0.95–1.00, <i>p</i> = 0.015), and female sex (OR: 16.15, 95% CI: 5.67–46.00, <i>p</i> &lt; 0.001) significantly predicted ferritin &lt; 27 ng/mL.</p>\n<div>\n<header><span>TABLE 1. </span>Regression analyses evaluating the clinical risk profile of patients characterized by ferritin &lt; 27 ng/mL.</header>\n<div tabindex=\"0\">\n<table>\n<thead>\n<tr>\n<th>Clinical variables</th>\n<th>OR</th>\n<th>SE</th>\n<th>95% CI</th>\n<th>\n<i>p</i>\n</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td colspan=\"5\">\n<b>Ferritin &lt; 27 ng/mL</b>\n</td>\n</tr>\n<tr>\n<td colspan=\"5\">Univariate analysis</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Age</td>\n<td>0.98</td>\n<td>0.009</td>\n<td>0.95–1.00</td>\n<td>0.063</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Female sex</td>\n<td>11.89</td>\n<td>0.460</td>\n<td>4.83–29.28</td>\n<td>\n<b>&lt; 0.001</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Hb</td>\n<td>0.62</td>\n<td>0.099</td>\n<td>0.51–0.75</td>\n<td>\n<b>&lt; 0.001</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Hb &lt; 13.0 g/dL</td>\n<td>3.01</td>\n<td>0.310</td>\n<td>1.64–5.53</td>\n<td>\n<b>&lt; 0.001</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">RBC</td>\n<td>0.47</td>\n<td>0.271</td>\n<td>0.28–0.81</td>\n<td>\n<b>0.006</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">MCV</td>\n<td>0.89</td>\n<td>0.036</td>\n<td>0.83–0.96</td>\n<td>\n<b>0.002</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">CRP</td>\n<td>0.98</td>\n<td>0.010</td>\n<td>0.96–1.00</td>\n<td>0.088</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">SAA</td>\n<td>0.99</td>\n<td>0.003</td>\n<td>0.99–1.00</td>\n<td>0.288</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">BMI</td>\n<td>0.93</td>\n<td>0.037</td>\n<td>0.87–0.99</td>\n<td>\n<b>0.045</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Daily colchicine dose</td>\n<td>1.87</td>\n<td>0.261</td>\n<td>1.12–3.11</td>\n<td>\n<b>0.016</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">bDMARDs</td>\n<td>0.74</td>\n<td>0.377</td>\n<td>0.36–1.56</td>\n<td>0.431</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Weight</td>\n<td>0.96</td>\n<td>0.013</td>\n<td>0.93–0.98</td>\n<td>\n<b>&lt; 0.001</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Creatinine</td>\n<td>0.94</td>\n<td>0.014</td>\n<td>0.91–0.97</td>\n<td>\n<b>&lt; 0.001</b>\n</td>\n</tr>\n<tr>\n<td colspan=\"5\">Multivariate analysis</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Age</td>\n<td>0.97</td>\n<td>0.013</td>\n<td>0.95–1.00</td>\n<td>\n<b>0.041</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Female sex</td>\n<td>13.77</td>\n<td>0.521</td>\n<td>4.96–38.18</td>\n<td>\n<b>&lt; 0.001</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">CRP</td>\n<td>0.99</td>\n<td>0.014</td>\n<td>0.96–1.01</td>\n<td>0.325</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">SAA</td>\n<td>1.00</td>\n<td>0.003</td>\n<td>0.99–1.00</td>\n<td>0.680</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">BMI</td>\n<td>0.990</td>\n<td>0.044</td>\n<td>0.91–1.08</td>\n<td>0.815</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">bDMARDs</td>\n<td>1.56</td>\n<td>0.325</td>\n<td>0.83–2.96</td>\n<td>0.170</td>\n</tr>\n<tr>\n<td colspan=\"5\">Multivariate analysis</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Age</td>\n<td>0.97</td>\n<td>0.013</td>\n<td>0.95–1.00</td>\n<td>\n<b>0.015</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Female sex</td>\n<td>16.15</td>\n<td>0.53</td>\n<td>5.67–46.00</td>\n<td>\n<b>&lt; 0.001</b>\n</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">CRP</td>\n<td>0.99</td>\n<td>0.013</td>\n<td>0.96–1.01</td>\n<td>0.320</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">SAA</td>\n<td>1.00</td>\n<td>0.003</td>\n<td>0.99–1.00</td>\n<td>0.658</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">Daily colchicine dose</td>\n<td>1.80</td>\n<td>0.33</td>\n<td>0.94–3.47</td>\n<td>0.078</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">bDMARDs</td>\n<td>1.67</td>\n<td>0.52</td>\n<td>0.61–4.63</td>\n<td>\n<b>0.322</b>\n</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div>\n<ul>\n<li>\n<i>Note: p</i> &lt; 0.05 was considered statistically significant. </li>\n<li> Abbreviations: bDMARDs: biological disease-modifying antirheumatic drugs; BMI: body mass index; CRP: C reactive protein; Hb: hemoglobin; M: men; MCV: mean corpuscular volume; <i>N</i>: number of patients; SAA: serum amyloid A; SD: standard deviation; W: women. </li>\n</ul>\n</div>\n<div></div>\n</div>\n<p>Altogether, 31.8% of FMF displayed ferritin &lt; 27 ng/mL and were mostly female and of younger age. Ferritin may be considered the mainstay for iron deficiency detection [<span>3</span>], which has been shown to be responsible for fatigue, a very frequent favoring factor in FMF flare-ups [<span>2</span>]. Although in absence of anemia, iron deficiency could be an additional factor in the onset of inflammatory flare-ups and may affect the patient's quality of life, although this aspect could not be fully studied retrospectively. Indeed, to clearly define an “iron deficiency” condition in FMF, also in absence of anemia, future studies are needed to assess other parameters of iron metabolism besides ferritin.</p>\n<p>Based on clinical observations, and the predominance of young female, regardless of their inflammatory status, our first hypothesis is that ferritin &lt; 27 ng/mL and associated iron deficiency, also in absence of anemia, may be secondary to excessive gynecological loss not entirely compensated by an increased intake of iron-rich foods. Due to the retrospective nature of this study and the fact that information on the characteristics of the patients' periods was not systematically collected, an exhaustive answer to this question could not be given, but when the affected women were interviewed, they most often reported heavy and long-lasting periods without taking contraceptive pill. It is also possible that young women eat less animal protein. Finally, digestive bleeding, potentially aggravated by frequent use of NSAIDs, should not be overlooked. Iron deficiency did not cause anemia in all patients, but it can cause fatigue, and eventually FMF attacks, suggesting the needing of iron supplementation.</p>\n<p>Here, we showed that FMF patients with ferritin &lt; 27 ng/mL had lower Hb and BMI and were significantly younger than others, without elevated inflammatory biomarkers. Interestingly, they required higher doses of colchicine, mainly 2 mg/day. The role of colchicine in decreasing iron intestinal absorption may be questioned. Our work does not allow us to answer this question, but not all patients with iron deficiency received the maximum daily colchicine dose.</p>\n<p>In our opinion, it is important to correct iron deficiency in FMF, starting with treating the cause of the iron loss and correcting the oral intake if possible and tolerated. Oral iron combined with oral colchicine may cause digestive discomfort and transit disorders, leading patients to stop iron supplements. If oral supplementation is not possible, intravenous iron infusions can be offered. In addition to iron supplements, patients can be given a list of iron-rich foods. Finding the cause of the martial deficiency with a particular focus on excessive gynecological bleeding to reduce the frequency and duration of menstruation in women should be done. It is also important to look for associated gastric disorders, especially in this population with a probable excess risk, or <i>Helicobacter pylori</i> infection. Our study should be considered as “hypothesis generating” to provide the basis for further specific designed studies to better elucidate this issue. To the best of our knowledge, this would be the first analysis of value of ferritin in FMF. This could be of importance to evaluate the complicated mechanisms underlying the asthenia as trigger of an inflammatory disease. We underline that use the ferritin alone as the sole arbiter of iron deficiency has to be confirmed especially among patients with a monogenic autoinflammatory diseases such as FMF if they display inflammation.</p>\n<p>This work highlights the importance of measuring ferritin levels in FMF, especially because this dosage is simple and available worldwide in routine care including some emerging countries where FMF is highly prevalent. In the presence of significant iron deficiency, iron supplementation should be done to correct it and reduce any iron deficiency signs such as asthenia and anemia that may lead to FMF attacks and also entertain an asthenia circle in FMF patients.</p>","PeriodicalId":7724,"journal":{"name":"American Journal of Hematology","volume":"35 1","pages":""},"PeriodicalIF":10.1000,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Iron Deficiency in Familial Mediterranean Fever: A Study on 211 Adult Patients From the JIR Cohort\",\"authors\":\"Ilenia Di Cola, Léa Savey, Marion Delplanque, Rim Bourguiba, Alessandra Bartoli, Zohra Aknouche, Fatima Bensalek, Isabelle Kone‐Paut, Linda Rossi‐Semerano, Isabelle Melki, Brigitte Bader‐Meunier, Piero Ruscitti, Bénédicte Neven, Pierre Quartier, Guilaine Boursier, Irina Giurgea, Laurence Cuisset, Gilles Grateau, Véronique Hentgen, Sophie Georgin‐Lavialle\",\"doi\":\"10.1002/ajh.27549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease worldwide associated with <i>MEFV</i> mutations. Patients display recurrent and self-limited attacks of fever, abdominal and thoracic pain [<span>1</span>]. There is no specific association between anemia and FMF, except that patients with chronic inflammation may have inflammatory microcytic anemia [<span>2</span>]. However, chronic anemia can lead to fatigue, and fatigue is known to be a trigger for FMF attacks [<span>2, 5</span>]. Therefore, patients with fatigue due to anemia may have more flare-ups of the disease and worse quality of life [<span>2</span>]. Iron deficiency can cause fatigue even in the absence of anemia [<span>3</span>]. Fatigue is also commonly reported in FMF [<span>2</span>]. Therefore, it may be beneficial to look for iron deficiency without anemia as one of the curable causes of fatigue in FMF, especially as fatigue may be considered a trigger of their attacks.</p>\\n<p>Although a variety of laboratory assessments of iron status is available, serum ferritin, a circulating protein in equilibrium with tissue ferritin, is the most sensitive and specific test for detecting isolated iron deficiency [<span>4</span>]. However, the assessment of serum ferritin could be biased by the inflammatory background in an acute inflammatory attack of such an autoinflammatory disease because in case of a normal or high rate it may not inform on the real absence of iron deficiency.</p>\\n<p>Our aim was to assess the prevalence of iron deficiency in FMF and its association with clinical features, laboratory parameters, and therapies.</p>\\n<p>From 2016 to 2023, a retrospective evaluation of prospectively followed FMF patients at the French national FMF-reference center was performed to analyze the prevalence of iron deficiency and its association with clinical features, laboratory parameters, and therapies. The presence of iron deficiency was defined according to the ferritin threshold of our hospital laboratory (ferritin &lt; 27.0 ng/mL), thus, homogeneously collected and measured. Ferritin levels were collected from medical records of follow-up visits. Considering the retrospective nature of our study, we collected what reported in clinical chart of patients; however, some relevant parameters (i.e., transferrin saturation, serum transferrin receptor levels) were not included in the analyses since they are not performed in routine care.</p>\\n<p>All FMF displayed two pathogenic exon 10 <i>MEFV</i> mutations either M694V (pMet694Val) and/or M694I (pMet694Ile). After collection of informed consents, we extracted data from the Juvenile Inflammatory Rheumatism (JIR) cohort, an international multicentric data repository authorized by the National Commission on Informatics and Liberties (CNIL, authorization number 914677).</p>\\n<p>For the statistics, clinical features were exploratively compared, according to the presence of iron deficiency (ferritin &lt; 27.0 ng/mL) by <i>t</i>-tests for continuous or categorical variables, as appropriate. After, multivariate regression models were built to exploit the clinical risk profile of patients with ferritin &lt; 27.0 ng/mL. The selection process of variables started by a univariate analysis; any variable having a significant univariate test was tested as a possible candidate for the multivariate analysis. Additionally, variables were tested for multivariate analysis according to their clinical relevance. At the end of this multistep process, we built multivariate models, providing OR estimations of the clinical risk profile of patients with ferritin &lt; 27.0 ng/mL. A <i>p</i> value &lt; 0.05 was considered statistically significant. Patients with missing data were excluded from the analysis. The Statistics Package for Social Sciences (SPSS version 17.0, SPSS Inc.) was used for all analyses.</p>\\n<p>Overall, 211 FMF were included, mostly female (60.2%) and with a mean age of 41.34 [18–89] years. Out of 208 patients with the value of ferritin reported in our database, 67 (31.80%) had a serum ferritin level &lt; 27 ng/mL and were defined as having iron deficiency. Among these, 61 (91.04%) were female and with a mean age of 36.81 [18–89] years. Among the 67 with iron deficiency, 42 (62.69%) displayed anemia (Hb &lt; 13.0 g/dL), including 40 female and 2 males. Patients with iron deficiency showed lower values of Hb (<i>p</i> &lt; 0.001), mean corpuscular volume (MCV) (<i>p</i> = 0.002), BMI (<i>p</i> = 0.044), weight (<i>p</i> &lt; 0.001), daily colchicine dose (<i>p</i> = 0.015), and creatinine (<i>p</i> = 0.005) and they were younger than those without iron deficiency (<i>p</i> = 0.011). No differences were retrieved comparing these two groups regarding inflammatory markers. Particularly, 52.24% of FMF with ferritin &lt; 27 showed normal inflammatory markers (Table S1). Among the 82 men, 6 showed a serum ferritin level &lt; 27 ng/mL. These patients did not significantly differ in main features compared with those without iron deficiency (Table S2).</p>\\n<p>The difference between values of Hb and daily colchicine dose according to iron deficiency were also analyzed (Figure S1).</p>\\n<p>In our cohort, both univariate and multivariate regression models were built to evaluate the clinical risk profile of patients with ferritin &lt; 27 ng/mL (Table 1). Based on univariate analyses, clinical relevance but also considering the number of patients characterized by ferritin &lt; 27 ng/mL, we built two multivariate regression models. One model comprised age, female sex, CRP, SAA, BMI, and colchicine doses whereas the other included age, female sex, CRP, SAA, colchicine doses, and biological disease-modifying antirheumatic drugs (bDMARDs). Despite not significant univariate analysis, CRP and SAA were added in the models considering the possible influence of the inflammatory process on ferritin levels [<span>6</span>]. We added bDMARDs in a model considering that more severe patients were probably treated with these drugs. In the first model, age (OR: 0.97, 95% CI: 0.95–1.00, <i>p</i> = 0.041) and female sex (OR: 13.77, 95% CI: 4.96–38.18, <i>p</i> &lt; 0.001) were significantly and independently associated with the presence of ferritin &lt; 27 ng/mL. Similarly, in the other model, age (OR: 0.97, 95% CI: 0.95–1.00, <i>p</i> = 0.015), and female sex (OR: 16.15, 95% CI: 5.67–46.00, <i>p</i> &lt; 0.001) significantly predicted ferritin &lt; 27 ng/mL.</p>\\n<div>\\n<header><span>TABLE 1. </span>Regression analyses evaluating the clinical risk profile of patients characterized by ferritin &lt; 27 ng/mL.</header>\\n<div tabindex=\\\"0\\\">\\n<table>\\n<thead>\\n<tr>\\n<th>Clinical variables</th>\\n<th>OR</th>\\n<th>SE</th>\\n<th>95% CI</th>\\n<th>\\n<i>p</i>\\n</th>\\n</tr>\\n</thead>\\n<tbody>\\n<tr>\\n<td colspan=\\\"5\\\">\\n<b>Ferritin &lt; 27 ng/mL</b>\\n</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"5\\\">Univariate analysis</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Age</td>\\n<td>0.98</td>\\n<td>0.009</td>\\n<td>0.95–1.00</td>\\n<td>0.063</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Female sex</td>\\n<td>11.89</td>\\n<td>0.460</td>\\n<td>4.83–29.28</td>\\n<td>\\n<b>&lt; 0.001</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Hb</td>\\n<td>0.62</td>\\n<td>0.099</td>\\n<td>0.51–0.75</td>\\n<td>\\n<b>&lt; 0.001</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Hb &lt; 13.0 g/dL</td>\\n<td>3.01</td>\\n<td>0.310</td>\\n<td>1.64–5.53</td>\\n<td>\\n<b>&lt; 0.001</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">RBC</td>\\n<td>0.47</td>\\n<td>0.271</td>\\n<td>0.28–0.81</td>\\n<td>\\n<b>0.006</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">MCV</td>\\n<td>0.89</td>\\n<td>0.036</td>\\n<td>0.83–0.96</td>\\n<td>\\n<b>0.002</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">CRP</td>\\n<td>0.98</td>\\n<td>0.010</td>\\n<td>0.96–1.00</td>\\n<td>0.088</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">SAA</td>\\n<td>0.99</td>\\n<td>0.003</td>\\n<td>0.99–1.00</td>\\n<td>0.288</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">BMI</td>\\n<td>0.93</td>\\n<td>0.037</td>\\n<td>0.87–0.99</td>\\n<td>\\n<b>0.045</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Daily colchicine dose</td>\\n<td>1.87</td>\\n<td>0.261</td>\\n<td>1.12–3.11</td>\\n<td>\\n<b>0.016</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">bDMARDs</td>\\n<td>0.74</td>\\n<td>0.377</td>\\n<td>0.36–1.56</td>\\n<td>0.431</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Weight</td>\\n<td>0.96</td>\\n<td>0.013</td>\\n<td>0.93–0.98</td>\\n<td>\\n<b>&lt; 0.001</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Creatinine</td>\\n<td>0.94</td>\\n<td>0.014</td>\\n<td>0.91–0.97</td>\\n<td>\\n<b>&lt; 0.001</b>\\n</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"5\\\">Multivariate analysis</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Age</td>\\n<td>0.97</td>\\n<td>0.013</td>\\n<td>0.95–1.00</td>\\n<td>\\n<b>0.041</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Female sex</td>\\n<td>13.77</td>\\n<td>0.521</td>\\n<td>4.96–38.18</td>\\n<td>\\n<b>&lt; 0.001</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">CRP</td>\\n<td>0.99</td>\\n<td>0.014</td>\\n<td>0.96–1.01</td>\\n<td>0.325</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">SAA</td>\\n<td>1.00</td>\\n<td>0.003</td>\\n<td>0.99–1.00</td>\\n<td>0.680</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">BMI</td>\\n<td>0.990</td>\\n<td>0.044</td>\\n<td>0.91–1.08</td>\\n<td>0.815</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">bDMARDs</td>\\n<td>1.56</td>\\n<td>0.325</td>\\n<td>0.83–2.96</td>\\n<td>0.170</td>\\n</tr>\\n<tr>\\n<td colspan=\\\"5\\\">Multivariate analysis</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Age</td>\\n<td>0.97</td>\\n<td>0.013</td>\\n<td>0.95–1.00</td>\\n<td>\\n<b>0.015</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Female sex</td>\\n<td>16.15</td>\\n<td>0.53</td>\\n<td>5.67–46.00</td>\\n<td>\\n<b>&lt; 0.001</b>\\n</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">CRP</td>\\n<td>0.99</td>\\n<td>0.013</td>\\n<td>0.96–1.01</td>\\n<td>0.320</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">SAA</td>\\n<td>1.00</td>\\n<td>0.003</td>\\n<td>0.99–1.00</td>\\n<td>0.658</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">Daily colchicine dose</td>\\n<td>1.80</td>\\n<td>0.33</td>\\n<td>0.94–3.47</td>\\n<td>0.078</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">bDMARDs</td>\\n<td>1.67</td>\\n<td>0.52</td>\\n<td>0.61–4.63</td>\\n<td>\\n<b>0.322</b>\\n</td>\\n</tr>\\n</tbody>\\n</table>\\n</div>\\n<div>\\n<ul>\\n<li>\\n<i>Note: p</i> &lt; 0.05 was considered statistically significant. </li>\\n<li> Abbreviations: bDMARDs: biological disease-modifying antirheumatic drugs; BMI: body mass index; CRP: C reactive protein; Hb: hemoglobin; M: men; MCV: mean corpuscular volume; <i>N</i>: number of patients; SAA: serum amyloid A; SD: standard deviation; W: women. </li>\\n</ul>\\n</div>\\n<div></div>\\n</div>\\n<p>Altogether, 31.8% of FMF displayed ferritin &lt; 27 ng/mL and were mostly female and of younger age. Ferritin may be considered the mainstay for iron deficiency detection [<span>3</span>], which has been shown to be responsible for fatigue, a very frequent favoring factor in FMF flare-ups [<span>2</span>]. Although in absence of anemia, iron deficiency could be an additional factor in the onset of inflammatory flare-ups and may affect the patient's quality of life, although this aspect could not be fully studied retrospectively. Indeed, to clearly define an “iron deficiency” condition in FMF, also in absence of anemia, future studies are needed to assess other parameters of iron metabolism besides ferritin.</p>\\n<p>Based on clinical observations, and the predominance of young female, regardless of their inflammatory status, our first hypothesis is that ferritin &lt; 27 ng/mL and associated iron deficiency, also in absence of anemia, may be secondary to excessive gynecological loss not entirely compensated by an increased intake of iron-rich foods. Due to the retrospective nature of this study and the fact that information on the characteristics of the patients' periods was not systematically collected, an exhaustive answer to this question could not be given, but when the affected women were interviewed, they most often reported heavy and long-lasting periods without taking contraceptive pill. It is also possible that young women eat less animal protein. Finally, digestive bleeding, potentially aggravated by frequent use of NSAIDs, should not be overlooked. Iron deficiency did not cause anemia in all patients, but it can cause fatigue, and eventually FMF attacks, suggesting the needing of iron supplementation.</p>\\n<p>Here, we showed that FMF patients with ferritin &lt; 27 ng/mL had lower Hb and BMI and were significantly younger than others, without elevated inflammatory biomarkers. Interestingly, they required higher doses of colchicine, mainly 2 mg/day. The role of colchicine in decreasing iron intestinal absorption may be questioned. Our work does not allow us to answer this question, but not all patients with iron deficiency received the maximum daily colchicine dose.</p>\\n<p>In our opinion, it is important to correct iron deficiency in FMF, starting with treating the cause of the iron loss and correcting the oral intake if possible and tolerated. Oral iron combined with oral colchicine may cause digestive discomfort and transit disorders, leading patients to stop iron supplements. If oral supplementation is not possible, intravenous iron infusions can be offered. In addition to iron supplements, patients can be given a list of iron-rich foods. Finding the cause of the martial deficiency with a particular focus on excessive gynecological bleeding to reduce the frequency and duration of menstruation in women should be done. It is also important to look for associated gastric disorders, especially in this population with a probable excess risk, or <i>Helicobacter pylori</i> infection. Our study should be considered as “hypothesis generating” to provide the basis for further specific designed studies to better elucidate this issue. To the best of our knowledge, this would be the first analysis of value of ferritin in FMF. This could be of importance to evaluate the complicated mechanisms underlying the asthenia as trigger of an inflammatory disease. We underline that use the ferritin alone as the sole arbiter of iron deficiency has to be confirmed especially among patients with a monogenic autoinflammatory diseases such as FMF if they display inflammation.</p>\\n<p>This work highlights the importance of measuring ferritin levels in FMF, especially because this dosage is simple and available worldwide in routine care including some emerging countries where FMF is highly prevalent. In the presence of significant iron deficiency, iron supplementation should be done to correct it and reduce any iron deficiency signs such as asthenia and anemia that may lead to FMF attacks and also entertain an asthenia circle in FMF patients.</p>\",\"PeriodicalId\":7724,\"journal\":{\"name\":\"American Journal of Hematology\",\"volume\":\"35 1\",\"pages\":\"\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Hematology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ajh.27549\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Hematology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ajh.27549","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

家族性地中海热(FMF)是世界上最常见的与MEFV突变相关的单基因自身炎症性疾病。患者表现为反复发作和自限性发热,腹部和胸部疼痛[1]。除了慢性炎症患者可能有炎性小细胞性贫血[2]外,贫血与FMF之间没有特异性关联。然而,慢性贫血可导致疲劳,而疲劳是FMF发作的触发因素[2,5]。因此,贫血引起的疲劳患者可能有更多的疾病发作和更差的生活质量[10]。即使没有贫血,缺铁也会引起疲劳。疲劳也常见于FMF bb0。因此,寻找没有贫血的缺铁可能是有益的,因为它是FMF中可治愈的疲劳原因之一,特别是疲劳可能被认为是其发作的触发因素。尽管对铁状态的各种实验室评估是可用的,血清铁蛋白(一种与组织铁蛋白平衡的循环蛋白)是检测孤立铁缺乏症最敏感和最特异的测试。然而,在这种自身炎症性疾病的急性炎症发作中,血清铁蛋白的评估可能会受到炎症背景的影响,因为在正常或高比率的情况下,它可能无法告知真正缺乏铁。我们的目的是评估FMF中缺铁的患病率及其与临床特征、实验室参数和治疗的关系。2016年至2023年,对法国国家FMF参考中心前瞻性随访的FMF患者进行回顾性评估,分析铁缺乏症的患病率及其与临床特征、实验室参数和治疗方法的关系。根据我院实验室铁蛋白阈值(铁蛋白27.0 ng/mL)确定缺铁,采集测量均匀。从随访的医疗记录中收集铁蛋白水平。考虑到本研究的回顾性,我们收集了患者临床图表中报告的内容;然而,一些相关参数(即转铁蛋白饱和度,血清转铁蛋白受体水平)未包括在分析中,因为它们不在常规护理中进行。所有FMF均显示两个致病外显子10 MEFV突变M694V (pMet694Val)和/或M694I (pMet694Ile)。在收集知情同意书后,我们从青少年炎症性风湿病(JIR)队列中提取数据,这是一个由国家信息与自由委员会(CNIL,授权号914677)授权的国际多中心数据库。统计学方面,探索性比较临床特征,根据有无缺铁(铁蛋白27.0 ng/mL),酌情采用连续或分类变量t检验。之后,建立多变量回归模型,探讨铁蛋白含量为27.0 ng/mL患者的临床风险特征。由单变量分析开始的变量选择过程;任何具有显著单变量检验的变量都被检验为多变量分析的可能候选者。此外,根据其临床相关性对变量进行多变量分析。在这个多步骤过程的最后,我们建立了多变量模型,提供了铁蛋白含量为27.0 ng/mL的患者临床风险概况的OR估计。p值&lt; 0.05认为有统计学意义。数据缺失的患者被排除在分析之外。统计软件包社会科学(SPSS 17.0版本,SPSS Inc.)用于所有分析。共纳入211例FMF,多数为女性(60.2%),平均年龄41.34岁[18-89]。在我们数据库中报告的208例铁蛋白值患者中,67例(31.80%)血清铁蛋白水平为27 ng/mL,被定义为缺铁。其中女性61例(91.04%),平均年龄36.81岁[18-89]。67例缺铁患者中,42例(62.69%)表现为贫血(Hb &lt; 13.0 g/dL),其中女性40例,男性2例。缺铁患者Hb (p &lt; 0.001)、平均红细胞体积(MCV) (p = 0.002)、BMI (p = 0.044)、体重(p &lt; 0.001)、秋水仙碱日剂量(p = 0.015)、肌酐(p = 0.005)均低于无缺铁患者(p = 0.011)。两组在炎症标志物方面没有差异。特别是,52.24%的含铁蛋白27的FMF炎症标志物正常(表S1)。82例男性中6例血清铁蛋白水平为27 ng/mL。与不缺铁的患者相比,这些患者在主要特征上没有显著差异(表S2)。根据缺铁情况分析Hb值和秋水仙碱日剂量的差异(图S1)。 在我们的队列中,我们建立了单因素和多因素回归模型来评估铁蛋白&lt; 27 ng/mL患者的临床风险概况(表1)。基于单因素分析、临床相关性,同时考虑到铁蛋白&lt; 27 ng/mL患者的数量,我们建立了两个多因素回归模型。一个模型包括年龄、女性性别、CRP、SAA、BMI和秋水仙碱剂量,而另一个模型包括年龄、女性性别、CRP、SAA、秋水仙碱剂量和生物疾病改善抗风湿药物(bDMARDs)。尽管单因素分析不显著,但考虑到炎症过程对铁蛋白水平的可能影响,我们在模型中加入了CRP和SAA。考虑到更严重的患者可能使用这些药物治疗,我们在模型中添加了bdmard。在第一个模型中,年龄(OR: 0.97, 95% CI: 0.95-1.00, p = 0.041)和女性(OR: 13.77, 95% CI: 4.96-38.18, p &lt; 0.001)与铁蛋白27 ng/mL的存在显著且独立相关。同样,在另一个模型中,年龄(OR: 0.97, 95% CI: 0.95-1.00, p = 0.015)和女性(OR: 16.15, 95% CI: 5.67-46.00, p &lt; 0.001)显著预测铁蛋白27 ng/mL。表1。回归分析评估以铁蛋白27 ng/mL为特征的患者的临床风险概况。临床variablesORSE95% CIpFerritin & lt; 27 ng / mLUnivariate analysisAge0.980.0090.95-1.000.063Female sex11.890.4604.83 - 29.28 & lt; 0.001 hb0.620.0990.51 - 0.75 & lt; 0.001 hb & lt; 13.0 g / dl3.010.3101.64 - 5.53 & lt; 0.001 rbc0.470.2710.28-0.810.006mcv0.890.0360.83-0.960.002crp0.980.0100.96-1.000.088saa0.990.0030.99-1.000.288bmi0.930.0370.87-0.990.045daily秋水仙碱dose1.870.2611.12 - 3.110.016bdmards0.740.3770.36 1.560.431weight0.960.0130.93 - 0.98 & lt; creatinine0.940.0140.91 0.001 - 0.97 - 0.001 & lt;多元analysisAge0.970.0130.95-1.000.041Female sex13.770.5214.96-38.18&lt; 0.001 crp0.990.0140.96 - 1.010.325 saa1.000.0030.99 - 1.000.80 bdmards1.560.3250.83 - 2.960.170多元分析age0.970.0130.95 - 1.000.015 female sex16.150.535.67-46.00&lt; 0.001 crp0.990.0130.96 - 1.010.320saa1.000.0030.99 - 1.000.65每日秋水仙碱剂量1.800.330.94 - 3.470.078 bdmards1.670.520.61 - 4.630.32注:p &lt; 0.05被认为具有统计学意义。缩写:bDMARDs:生物减病抗风湿药;BMI:身体质量指数;CRP: C反应蛋白;Hb:血红蛋白;M:男性;MCV:平均红细胞体积;N:患者数;SAA:血清淀粉样蛋白A;SD:标准差;W:女性。总的来说,31.8%的FMF显示铁蛋白27 ng/mL,主要是女性和年轻人。铁蛋白可能被认为是铁缺乏检测的主要成分,它已被证明是疲劳的原因,疲劳是FMF发作的一个非常频繁的有利因素。虽然在没有贫血的情况下,缺铁可能是炎症发作的另一个因素,并可能影响患者的生活质量,尽管这方面还不能进行全面的回顾性研究。事实上,为了明确定义FMF患者的“缺铁”状态,也就是在没有贫血的情况下,未来的研究需要评估除铁蛋白外的其他铁代谢参数。根据临床观察和年轻女性的优势,无论其炎症状态如何,我们的第一个假设是,铁蛋白27 ng/mL和相关的铁缺乏,也没有贫血,可能是继发于过度的妇科损失,而不是通过增加富含铁的食物的摄入来完全补偿。由于这项研究是回顾性的,而且没有系统地收集有关患者经期特征的信息,因此无法给出详尽的答案,但当受影响的妇女接受采访时,她们通常报告说,在没有服用避孕药的情况下,经期很长。也有可能是年轻女性少吃动物蛋白。最后,消化道出血,经常使用非甾体抗炎药可能加重,不应忽视。铁缺乏并不是所有患者都导致贫血,但它会导致疲劳,并最终导致FMF发作,这表明需要补充铁。在这里,我们发现含铁蛋白27 ng/mL的FMF患者Hb和BMI较低,并且明显比其他患者年轻,没有升高的炎症生物标志物。有趣的是,他们需要更高剂量的秋水仙碱,主要是每天2毫克。秋水仙碱在减少铁的肠吸收中的作用可能受到质疑。我们的研究并不能回答这个问题,但并不是所有缺铁的病人都服用了最大剂量的秋水仙碱。在我们看来,重要的是纠正FMF缺铁,从治疗铁流失的原因开始,并在可能和耐受的情况下纠正口服摄入。 口服铁与口服秋水仙碱可能会引起消化不适和运输障碍,导致患者停止补充铁。如果口服补充是不可能的,可以提供静脉铁输注。除了铁补充剂,病人还可以得到一份富含铁的食物清单。找出武虚的原因,特别注重妇科出血过多,以减少妇女月经的频率和持续时间。寻找相关的胃疾病也很重要,特别是在可能有过高风险的人群或幽门螺杆菌感染的人群中。我们的研究应被视为“假设生成”,为进一步的具体设计研究提供基础,以更好地阐明这一问题。据我们所知,这将是第一次分析铁蛋白在FMF中的价值。这对于评估虚弱作为炎症性疾病触发的复杂机制可能是重要的。我们强调,单独使用铁蛋白作为铁缺乏的唯一仲裁者必须得到证实,特别是在单基因自身炎症性疾病(如FMF)患者中,如果他们表现出炎症。这项工作强调了测量FMF中铁蛋白水平的重要性,特别是因为该剂量简单且在世界范围内的常规护理中可获得,包括FMF高度流行的一些新兴国家。在存在明显缺铁的情况下,应补充铁来纠正它,并减少任何缺铁迹象,如可能导致FMF发作的虚弱和贫血,并在FMF患者中形成虚弱圈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Iron Deficiency in Familial Mediterranean Fever: A Study on 211 Adult Patients From the JIR Cohort

Iron Deficiency in Familial Mediterranean Fever: A Study on 211 Adult Patients From the JIR Cohort

Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease worldwide associated with MEFV mutations. Patients display recurrent and self-limited attacks of fever, abdominal and thoracic pain [1]. There is no specific association between anemia and FMF, except that patients with chronic inflammation may have inflammatory microcytic anemia [2]. However, chronic anemia can lead to fatigue, and fatigue is known to be a trigger for FMF attacks [2, 5]. Therefore, patients with fatigue due to anemia may have more flare-ups of the disease and worse quality of life [2]. Iron deficiency can cause fatigue even in the absence of anemia [3]. Fatigue is also commonly reported in FMF [2]. Therefore, it may be beneficial to look for iron deficiency without anemia as one of the curable causes of fatigue in FMF, especially as fatigue may be considered a trigger of their attacks.

Although a variety of laboratory assessments of iron status is available, serum ferritin, a circulating protein in equilibrium with tissue ferritin, is the most sensitive and specific test for detecting isolated iron deficiency [4]. However, the assessment of serum ferritin could be biased by the inflammatory background in an acute inflammatory attack of such an autoinflammatory disease because in case of a normal or high rate it may not inform on the real absence of iron deficiency.

Our aim was to assess the prevalence of iron deficiency in FMF and its association with clinical features, laboratory parameters, and therapies.

From 2016 to 2023, a retrospective evaluation of prospectively followed FMF patients at the French national FMF-reference center was performed to analyze the prevalence of iron deficiency and its association with clinical features, laboratory parameters, and therapies. The presence of iron deficiency was defined according to the ferritin threshold of our hospital laboratory (ferritin < 27.0 ng/mL), thus, homogeneously collected and measured. Ferritin levels were collected from medical records of follow-up visits. Considering the retrospective nature of our study, we collected what reported in clinical chart of patients; however, some relevant parameters (i.e., transferrin saturation, serum transferrin receptor levels) were not included in the analyses since they are not performed in routine care.

All FMF displayed two pathogenic exon 10 MEFV mutations either M694V (pMet694Val) and/or M694I (pMet694Ile). After collection of informed consents, we extracted data from the Juvenile Inflammatory Rheumatism (JIR) cohort, an international multicentric data repository authorized by the National Commission on Informatics and Liberties (CNIL, authorization number 914677).

For the statistics, clinical features were exploratively compared, according to the presence of iron deficiency (ferritin < 27.0 ng/mL) by t-tests for continuous or categorical variables, as appropriate. After, multivariate regression models were built to exploit the clinical risk profile of patients with ferritin < 27.0 ng/mL. The selection process of variables started by a univariate analysis; any variable having a significant univariate test was tested as a possible candidate for the multivariate analysis. Additionally, variables were tested for multivariate analysis according to their clinical relevance. At the end of this multistep process, we built multivariate models, providing OR estimations of the clinical risk profile of patients with ferritin < 27.0 ng/mL. A p value < 0.05 was considered statistically significant. Patients with missing data were excluded from the analysis. The Statistics Package for Social Sciences (SPSS version 17.0, SPSS Inc.) was used for all analyses.

Overall, 211 FMF were included, mostly female (60.2%) and with a mean age of 41.34 [18–89] years. Out of 208 patients with the value of ferritin reported in our database, 67 (31.80%) had a serum ferritin level < 27 ng/mL and were defined as having iron deficiency. Among these, 61 (91.04%) were female and with a mean age of 36.81 [18–89] years. Among the 67 with iron deficiency, 42 (62.69%) displayed anemia (Hb < 13.0 g/dL), including 40 female and 2 males. Patients with iron deficiency showed lower values of Hb (p < 0.001), mean corpuscular volume (MCV) (p = 0.002), BMI (p = 0.044), weight (p < 0.001), daily colchicine dose (p = 0.015), and creatinine (p = 0.005) and they were younger than those without iron deficiency (p = 0.011). No differences were retrieved comparing these two groups regarding inflammatory markers. Particularly, 52.24% of FMF with ferritin < 27 showed normal inflammatory markers (Table S1). Among the 82 men, 6 showed a serum ferritin level < 27 ng/mL. These patients did not significantly differ in main features compared with those without iron deficiency (Table S2).

The difference between values of Hb and daily colchicine dose according to iron deficiency were also analyzed (Figure S1).

In our cohort, both univariate and multivariate regression models were built to evaluate the clinical risk profile of patients with ferritin < 27 ng/mL (Table 1). Based on univariate analyses, clinical relevance but also considering the number of patients characterized by ferritin < 27 ng/mL, we built two multivariate regression models. One model comprised age, female sex, CRP, SAA, BMI, and colchicine doses whereas the other included age, female sex, CRP, SAA, colchicine doses, and biological disease-modifying antirheumatic drugs (bDMARDs). Despite not significant univariate analysis, CRP and SAA were added in the models considering the possible influence of the inflammatory process on ferritin levels [6]. We added bDMARDs in a model considering that more severe patients were probably treated with these drugs. In the first model, age (OR: 0.97, 95% CI: 0.95–1.00, p = 0.041) and female sex (OR: 13.77, 95% CI: 4.96–38.18, p < 0.001) were significantly and independently associated with the presence of ferritin < 27 ng/mL. Similarly, in the other model, age (OR: 0.97, 95% CI: 0.95–1.00, p = 0.015), and female sex (OR: 16.15, 95% CI: 5.67–46.00, p < 0.001) significantly predicted ferritin < 27 ng/mL.

TABLE 1. Regression analyses evaluating the clinical risk profile of patients characterized by ferritin < 27 ng/mL.
Clinical variables OR SE 95% CI p
Ferritin < 27 ng/mL
Univariate analysis
Age 0.98 0.009 0.95–1.00 0.063
Female sex 11.89 0.460 4.83–29.28 < 0.001
Hb 0.62 0.099 0.51–0.75 < 0.001
Hb < 13.0 g/dL 3.01 0.310 1.64–5.53 < 0.001
RBC 0.47 0.271 0.28–0.81 0.006
MCV 0.89 0.036 0.83–0.96 0.002
CRP 0.98 0.010 0.96–1.00 0.088
SAA 0.99 0.003 0.99–1.00 0.288
BMI 0.93 0.037 0.87–0.99 0.045
Daily colchicine dose 1.87 0.261 1.12–3.11 0.016
bDMARDs 0.74 0.377 0.36–1.56 0.431
Weight 0.96 0.013 0.93–0.98 < 0.001
Creatinine 0.94 0.014 0.91–0.97 < 0.001
Multivariate analysis
Age 0.97 0.013 0.95–1.00 0.041
Female sex 13.77 0.521 4.96–38.18 < 0.001
CRP 0.99 0.014 0.96–1.01 0.325
SAA 1.00 0.003 0.99–1.00 0.680
BMI 0.990 0.044 0.91–1.08 0.815
bDMARDs 1.56 0.325 0.83–2.96 0.170
Multivariate analysis
Age 0.97 0.013 0.95–1.00 0.015
Female sex 16.15 0.53 5.67–46.00 < 0.001
CRP 0.99 0.013 0.96–1.01 0.320
SAA 1.00 0.003 0.99–1.00 0.658
Daily colchicine dose 1.80 0.33 0.94–3.47 0.078
bDMARDs 1.67 0.52 0.61–4.63 0.322
  • Note: p < 0.05 was considered statistically significant.
  • Abbreviations: bDMARDs: biological disease-modifying antirheumatic drugs; BMI: body mass index; CRP: C reactive protein; Hb: hemoglobin; M: men; MCV: mean corpuscular volume; N: number of patients; SAA: serum amyloid A; SD: standard deviation; W: women.

Altogether, 31.8% of FMF displayed ferritin < 27 ng/mL and were mostly female and of younger age. Ferritin may be considered the mainstay for iron deficiency detection [3], which has been shown to be responsible for fatigue, a very frequent favoring factor in FMF flare-ups [2]. Although in absence of anemia, iron deficiency could be an additional factor in the onset of inflammatory flare-ups and may affect the patient's quality of life, although this aspect could not be fully studied retrospectively. Indeed, to clearly define an “iron deficiency” condition in FMF, also in absence of anemia, future studies are needed to assess other parameters of iron metabolism besides ferritin.

Based on clinical observations, and the predominance of young female, regardless of their inflammatory status, our first hypothesis is that ferritin < 27 ng/mL and associated iron deficiency, also in absence of anemia, may be secondary to excessive gynecological loss not entirely compensated by an increased intake of iron-rich foods. Due to the retrospective nature of this study and the fact that information on the characteristics of the patients' periods was not systematically collected, an exhaustive answer to this question could not be given, but when the affected women were interviewed, they most often reported heavy and long-lasting periods without taking contraceptive pill. It is also possible that young women eat less animal protein. Finally, digestive bleeding, potentially aggravated by frequent use of NSAIDs, should not be overlooked. Iron deficiency did not cause anemia in all patients, but it can cause fatigue, and eventually FMF attacks, suggesting the needing of iron supplementation.

Here, we showed that FMF patients with ferritin < 27 ng/mL had lower Hb and BMI and were significantly younger than others, without elevated inflammatory biomarkers. Interestingly, they required higher doses of colchicine, mainly 2 mg/day. The role of colchicine in decreasing iron intestinal absorption may be questioned. Our work does not allow us to answer this question, but not all patients with iron deficiency received the maximum daily colchicine dose.

In our opinion, it is important to correct iron deficiency in FMF, starting with treating the cause of the iron loss and correcting the oral intake if possible and tolerated. Oral iron combined with oral colchicine may cause digestive discomfort and transit disorders, leading patients to stop iron supplements. If oral supplementation is not possible, intravenous iron infusions can be offered. In addition to iron supplements, patients can be given a list of iron-rich foods. Finding the cause of the martial deficiency with a particular focus on excessive gynecological bleeding to reduce the frequency and duration of menstruation in women should be done. It is also important to look for associated gastric disorders, especially in this population with a probable excess risk, or Helicobacter pylori infection. Our study should be considered as “hypothesis generating” to provide the basis for further specific designed studies to better elucidate this issue. To the best of our knowledge, this would be the first analysis of value of ferritin in FMF. This could be of importance to evaluate the complicated mechanisms underlying the asthenia as trigger of an inflammatory disease. We underline that use the ferritin alone as the sole arbiter of iron deficiency has to be confirmed especially among patients with a monogenic autoinflammatory diseases such as FMF if they display inflammation.

This work highlights the importance of measuring ferritin levels in FMF, especially because this dosage is simple and available worldwide in routine care including some emerging countries where FMF is highly prevalent. In the presence of significant iron deficiency, iron supplementation should be done to correct it and reduce any iron deficiency signs such as asthenia and anemia that may lead to FMF attacks and also entertain an asthenia circle in FMF patients.

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来源期刊
CiteScore
15.70
自引率
3.90%
发文量
363
审稿时长
3-6 weeks
期刊介绍: The American Journal of Hematology offers extensive coverage of experimental and clinical aspects of blood diseases in humans and animal models. The journal publishes original contributions in both non-malignant and malignant hematological diseases, encompassing clinical and basic studies in areas such as hemostasis, thrombosis, immunology, blood banking, and stem cell biology. Clinical translational reports highlighting innovative therapeutic approaches for the diagnosis and treatment of hematological diseases are actively encouraged.The American Journal of Hematology features regular original laboratory and clinical research articles, brief research reports, critical reviews, images in hematology, as well as letters and correspondence.
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