PneumoniaPub Date : 2024-09-05DOI: 10.1186/s41479-024-00137-9
Johannes Rukyaa, Martha F Mushi, Vitus Silago, Prisca Damiano, Katherine Keenan, Wilber Sabiiti, Matthew T G Holden, Jeremiah Seni, Stephen E Mshana
{"title":"Etiology and antimicrobial susceptibility patterns of bacteria causing pneumonia among adult patients with signs and symptoms of lower respiratory tract infections during the COVID-19 pandemic in Mwanza, Tanzania: a cross-sectional study.","authors":"Johannes Rukyaa, Martha F Mushi, Vitus Silago, Prisca Damiano, Katherine Keenan, Wilber Sabiiti, Matthew T G Holden, Jeremiah Seni, Stephen E Mshana","doi":"10.1186/s41479-024-00137-9","DOIUrl":"10.1186/s41479-024-00137-9","url":null,"abstract":"<p><strong>Background: </strong>Bacterial pneumonia is among the leading causes of morbidity and mortality worldwide. The extensive misuse and overuse of antibiotics observed during the Corona Virus Disease 2019 (COVID-19) pandemic may have changed the patterns of pathogens causing bacterial pneumonia and their antibiotic susceptibility profiles. This study was designed to establish the prevalence of culture-confirmed bacterial pneumonia and describe their antimicrobial susceptibility profile in adult patients who presented with signs and symptoms of lower respiratory tract infections (LRTIs) during the COVID-19 pandemic.</p><p><strong>Methodology: </strong>This hospital-based cross-sectional study was conducted from July 2021 to July 2022 at a zonal referral hospital and two district hospitals in Mwanza, Tanzania. Demographic and clinical data were collected using a standardized questionnaire. Sputum samples were processed by conventional culture followed by the identification of isolates and antibiotic susceptibility testing. Descriptive data analysis was performed using STATA version 15.0.</p><p><strong>Results: </strong>A total of 286 patients with a median age of 40 (IQR 29-60) years were enrolled in the study. More than half of the patients enrolled were females (52.4%, n = 150). The overall prevalence of bacterial pneumonia was 34.3% (n = 98). The majority of the bacterial pathogens isolated were Gram-negative bacteria (GNB) (61.2%, 60/98), with a predominance of Klebsiella spp., 38.8% (38/98), followed by Streptococcus pyogenes (21.4%, 21/98). Multi drug resistant (MDR) bacteria were detected in 72/98 (73.5%) of the isolates. The proportions of GNB-resistant strains were 60.0% (36/60) for ciprofloxacin, 60% (36/60) for amoxicillin, 60% (36/60) for amoxicillin, 68.3% (41/60) for trimethoprim-sulfamethoxazole and 58.3% (35/60) for ceftriaxone.</p><p><strong>Conclusion: </strong>One-third of the patients with signs and symptoms of LRTIs had laboratory-confirmed bacterial pneumonia with a predominance of Gram negative MDR bacteria. This calls for continuous antimicrobial resistance (AMR) surveillance and antimicrobial stewardship programs in the study setting and other settings in developing countries as important strategies for tackling AMR.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375869/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PneumoniaPub Date : 2024-08-25DOI: 10.1186/s41479-024-00136-w
Linda Yamba Yamba, Karin Hansen, Lisa Wasserstrom, Yu-Ching Su, Jonas Ahl, Kristian Riesbeck
{"title":"The importance of Haemophilus influenzae in community-acquired pneumonia: an emerging pathogen in the elderly regardless of comorbidities compared to Streptococcus pneumoniae.","authors":"Linda Yamba Yamba, Karin Hansen, Lisa Wasserstrom, Yu-Ching Su, Jonas Ahl, Kristian Riesbeck","doi":"10.1186/s41479-024-00136-w","DOIUrl":"10.1186/s41479-024-00136-w","url":null,"abstract":"<p><strong>Background: </strong>Haemophilus influenzae community-acquired pneumonia (CAP) is common, and it is equally common to Streptococcus pneumoniae in some settings. The purpose of this study was to provide additional data on patients affected by H. influenzae CAP and their outcomes.</p><p><strong>Methods: </strong>Streptococcus pneumoniae-caused CAP (111 cases) was compared to CAP with H. influenzae (53 cases). Patients were adults (≥ 18 years) from the prospective study \"Etiology of community acquired pneumonia in Sweden\" (ECAPS), which was established during the years 2016-2018.</p><p><strong>Results: </strong>Cases with H. influenzae CAP were significantly older compared to S. pneumoniae CAP (median 77 vs 70 years, p = 0.037) albeit similar comorbidities. Haemophilus influenzae was generally absent in the bloodstream compared to S. pneumoniae (18% vs 2%, p = 0.01) but clinical presentations were comparable. Only a minority of patients, 34% with H. influenzae and 41% with S. pneumoniae CAP had underlying lung disease.</p><p><strong>Conclusion: </strong>In the light of childhood immunization campaigns against S. pneumoniae and the increasing numbers of pneumococcal vaccinations among the elderly, coupled with an aging population, the incidence of CAP caused by H. influenzae may increase. Further research is needed to understand the impact of H. influenzae CAP and to a development of a vaccine against this emerging microbe.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11344911/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142056822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Time to recovery from severe community-acquired pneumonia and its predictors among 6 to 59 months of age children admitted to South Wollo zone public hospitals, North East Ethiopia: a prospective follow-up study.","authors":"Mekonnen Teferi, Elsabeth Addisu, Shambel Wodajo, Amare Muche, Abel Endawekie, Bezawit Adane, Tilahun Dessie, Natnael Kebede","doi":"10.1186/s41479-024-00135-x","DOIUrl":"10.1186/s41479-024-00135-x","url":null,"abstract":"<p><strong>Introduction: </strong>Ethiopia is one of those countries with higher burden of community acquired pneumonia among its people, under five children are the members of society that are highly affected by pneumonia particularly Severe Community Acquired Pneumonia. However, there are limited studies on time to recovery and its predictors in under-five children and most of them are retrospective which fails to address important variables that affect the time to recovery. Therefore, the aim of this study was to estimate the median time to recovery and its predictors among under five children admitted to South Wollo zone public hospitals, North East Ethiopia.</p><p><strong>Methods: </strong>An institution-based prospective cohort study was conducted from March 10 to May 10, 2021, with 270 study subjects. A systematic random sampling technique was used. Data was collected by interview and chart review. The data were entered and analyzed using Epi Data version 3.1 and STATA version 14.0, respectively. Kaplan-Meier and Cox regression models were used to test the time and predictors of recovery from severe community-acquired pneumonia.</p><p><strong>Results: </strong>The overall incidence of recovery rate (95% confidence interval) from Severe Community-Acquired Pneumonia was 20.45(17.84-23.46) per 100 person days observation with median (IQR) time to recovery of [3, 5] days. The predictors of time to recovery from Severe Community-Acquired Pneumonia were having comorbidities on admission [AHR = 0.49 (95%CI: 0.32,0.75)], reaching hospitals after 5 days of onset of symptoms [AHR = 0.35 (95%CI: 0.20,0.60)], having Middle Upper Arm Circumference < = 12.5 cm [AHR = 0.21 (95%CI: 0.12,0.37)], the presence of smoker in the house [AHR = 0.21 (95%CI: 0.10,0.42)] and being not fully immunized for age [AHR = 0.35 (95%CI: 0.24,0.53)].</p><p><strong>Conclusion and recommendations: </strong>Generally the recovery time of children with Severe Community Acquired Pneumonia in the study area was within the recommended national standards. Due attention should be given to children with the identified predictors while treating them.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11299310/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141890391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PneumoniaPub Date : 2024-07-25DOI: 10.1186/s41479-024-00134-y
Mercy Wendy Wanyana, Richard Migisha, Patrick King, Abraham Kibaba Muhesi, Benon Kwesiga, Daniel Kadobera, Lilian Bulage, Alex Riolexus Ario
{"title":"Factors associated with severe pneumonia among children <5 years, Kasese District, Uganda: a case-control study, January-April 2023.","authors":"Mercy Wendy Wanyana, Richard Migisha, Patrick King, Abraham Kibaba Muhesi, Benon Kwesiga, Daniel Kadobera, Lilian Bulage, Alex Riolexus Ario","doi":"10.1186/s41479-024-00134-y","DOIUrl":"10.1186/s41479-024-00134-y","url":null,"abstract":"<p><strong>Background: </strong>Pneumonia is one of the leading causes of infant mortality globally, particularly in sub-Saharan Africa. In Uganda, pneumonia was the fourth leading cause of death in children <5 years in 2018. Analysis of 2013-2022 data for children <5 years from the District Health Information System indicated a high incidence of severe pneumonia in Kasese District, Uganda. We investigated to identify factors associated with severe pneumonia among children <5 years in Kasese District to inform prevention and control strategies.</p><p><strong>Methods: </strong>We conducted a 1:1 hospital-based case-control study among children aged 2-59 months presenting with pneumonia at five high-volume facilities in Kasese District from January to April 2023. A case was defined as pneumonia with ≥1 of the following danger signs: low oxygen saturation, central cyanosis, severe respiratory distress, feeding difficulties, altered consciousness, and convulsions. Controls were outpatient children aged 2-59 months with a diagnosis of non-severe pneumonia. We reviewed medical records at facilities and used an interviewer-administered questionnaire with caregivers to obtain information on socio-demographic and clinical characteristics. Logistic regression was used to identify factors associated with severe pneumonia.</p><p><strong>Results: </strong>We enrolled 199 cases and 174 controls. The odds of severe pneumonia were higher among children with diarrhoea only (adjusted odds ratio [aOR] = 2.9, 95%CI: 1.7-4.9), or malaria and diarrhoea (aOR = 3.4, 95%CI: 2.0-5.9), than those without a co-existing illness at the time of pneumonia diagnosis. Not being exclusively breastfed for ≥ 6 months (aOR = 2.0, 95%CI: 1.1-3.3) and exposure to indoor air pollution from cooking combustion sources (aOR = 2.9, 95%CI: 1.8-4.7) increased odds of severe pneumonia.</p><p><strong>Conclusion: </strong>The findings highlight the significance of comorbidities, lack of exclusive breastfeeding, and exposure to indoor air pollution in the development of severe pneumonia. Promoting exclusive breastfeeding for ≥ 6 months and advocating for the use of clean energy sources, could mitigate morbidity attributable to severe pneumonia in the region.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11270805/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141761513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PneumoniaPub Date : 2024-07-05DOI: 10.1186/s41479-024-00133-z
Josef Yayan, Karl-Josef Franke, Melanie Berger, Wolfram Windisch, Kurt Rasche
{"title":"Early detection of tuberculosis: a systematic review.","authors":"Josef Yayan, Karl-Josef Franke, Melanie Berger, Wolfram Windisch, Kurt Rasche","doi":"10.1186/s41479-024-00133-z","DOIUrl":"10.1186/s41479-024-00133-z","url":null,"abstract":"<p><p>Tuberculosis remains a significant global health challenge. Tuberculosis affects millions of individuals worldwide. Early detection of tuberculosis plays a relevant role in the management of treatment of tuberculosis. This systematic review will analyze the findings of several published studies on the topic of the early detection of tuberculosis. This systematic review highlights their methodologies and limitations as well as their contributions to our understanding of this pressing issue. Early detection of tuberculosis can be achieved through tuberculosis screening for contacts. Comprehensive health education for household contacts can be used as early detection. The in-house deep learning models can be used in the X-ray used for automatic detection of tuberculosis. Interferon gamma release assay, routine passive and active case detection, portable X-ray and nucleic acid amplification testing, and highly sensitive enzyme-linked immunosorbent assay tests play critical roles in improving tuberculosis detection.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11225244/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141535647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PneumoniaPub Date : 2024-06-25DOI: 10.1186/s41479-024-00132-0
Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia
{"title":"Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality.","authors":"Fernando García-García, Dae-Jin Lee, Mónica Nieves-Ermecheo, Olaia Bronte, Pedro Pablo España, José María Quintana, Rosario Menéndez, Antoni Torres, Luis Alberto Ruiz Iturriaga, Isabel Urrutia","doi":"10.1186/s41479-024-00132-0","DOIUrl":"https://doi.org/10.1186/s41479-024-00132-0","url":null,"abstract":"<p><strong>Background: </strong>There exists consistent empirical evidence in the literature pointing out ample heterogeneity in terms of the clinical evolution of patients with COVID-19. The identification of specific phenotypes underlying in the population might contribute towards a better understanding and characterization of the different courses of the disease. The aim of this study was to identify distinct clinical phenotypes among hospitalized patients with SARS-CoV-2 pneumonia using machine learning clustering, and to study their association with subsequent clinical outcomes as severity and mortality.</p><p><strong>Methods: </strong>Multicentric observational, prospective, longitudinal, cohort study conducted in four hospitals in Spain. We included adult patients admitted for in-hospital stay due to SARS-CoV-2 pneumonia. We collected a broad spectrum of variables to describe exhaustively each case: patient demographics, comorbidities, symptoms, physiological status, baseline examinations (blood analytics, arterial gas test), etc. For the development and internal validation of the clustering/phenotype models, the dataset was split into training and test sets (50% each). We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. The optimal cluster model parameters -including k, the number of phenotypes- were chosen automatically, by maximizing the average Silhouette score across the training set.</p><p><strong>Results: </strong>We enrolled 1548 patients, each of them characterized by 92 clinical attributes (d=109 features after variable encoding). Our clustering algorithm identified k=3 distinct phenotypes and 18 strongly informative variables: Phenotype A (788 cases [50.9% prevalence] - age <math><mo>∼</mo></math> 57, Charlson comorbidity <math><mo>∼</mo></math> 1, pneumonia CURB-65 score <math><mo>∼</mo></math> 0 to 1, respiratory rate at admission <math><mo>∼</mo></math> 18 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 21%, C-reactive protein CRP <math><mo>∼</mo></math> 49.5 mg/dL [median within cluster]); phenotype B (620 cases [40.0%] - age <math><mo>∼</mo></math> 75, Charlson <math><mo>∼</mo></math> 5, CURB-65 <math><mo>∼</mo></math> 1 to 2, respiration <math><mo>∼</mo></math> 20 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 21%, CRP <math><mo>∼</mo></math> 101.5 mg/dL); and phenotype C (140 cases [9.0%] - age <math><mo>∼</mo></math> 71, Charlson <math><mo>∼</mo></math> 4, CURB-65 <math><mo>∼</mo></math> 0 to 2, respiration <math><mo>∼</mo></math> 30 min<sup>-1</sup>, FiO<sub>2</sub> <math><mo>∼</mo></math> 38%, CRP <math><mo>∼</mo></math> 152.3 mg/dL). Hypothesis testing provided solid statistical evidence supporting an interaction between phenotype and each clinical outcome: severity and mortality. By computing their corresponding odds ratios, a clear t","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":8.5,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141447271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Back to the future: the novel art of digital auscultation applied in a prospective observational study of critically ill Covid-19 patients.","authors":"Evangelos Kaimakamis, Serafeim Kotoulas, Myrto Tzimou, Christos Karachristos, Chrysavgi Giannaki, Vassileios Kilintzis, Leandros Stefanopoulos, Evangelos Chatzis, Nikolaos Beredimas, Bruno Rocha, Diogo Pessoa, Rui Pedro Paiva, Nicos Maglaveras, Militsa Bitzani","doi":"10.1186/s41479-024-00131-1","DOIUrl":"10.1186/s41479-024-00131-1","url":null,"abstract":"<p><strong>Background: </strong>The Covid-19 pandemic has caused immense pressure on Intensive Care Units (ICU). In patients with severe ARDS due to Covid-19, respiratory mechanics are important for determining the severity of lung damage. Lung auscultation could not be used during the pandemic despite its merit. The main objective of this study was to investigate associations between lung auscultatory sound features and lung mechanical properties, length of stay (LOS) and survival, in adults with severe Covid-19 ARDS.</p><p><strong>Methods: </strong>Consecutive patients admitted to a large ICU between 2020 and 2021 (n = 173) were included. Digital stethoscopes obtained auscultatory sounds and stored them in an on-line database for replay and further processing using advanced AI techniques. Correlation and regression analysis explored relationships between digital auscultation findings and lung mechanics or the ICU outcome. The resulting annotated lung sounds database is also publicly available as supplementary material.</p><p><strong>Results: </strong>The presence of squawks was associated with the ICU LOS, outcome and 90-day mortality. Other features (age, SOFA score & oxygenation index upon admission, minimum crackle entropy) had significant impact on outcome. Additional features affecting the 90-d survival were age and mean crackle entropy. Multivariate logistic regression showed that survival was affected by age, baseline SOFA, baseline oxygenation index and minimum crackle entropy.</p><p><strong>Conclusions: </strong>Respiratory mechanics were associated with various adventitious sounds, whereas the lung sound analytics and the presence of certain adventitious sounds correlated with the ICU outcome and the 90-d survival. Spectral features of crackles sounds can serve as prognostic factors for survival, highlighting the importance of digital auscultation.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":6.8,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11151547/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141248817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Invasive pulmonary aspergillosis among patients with severe community-acquired pneumonia and influenza in ICUs: a retrospective cohort study.","authors":"Wei-Chun Lee, Che-Chia Chang, Meng-Chin Ho, Chieh-Mo Lin, Shaw-Woei Leu, Chin-Kuo Lin, Yu-Hung Fang, Shu-Yi Huang, Yu-Ching Lin, Min-Chun Chuang, Tsung-Ming Yang, Ming-Szu Hung, Yen-Li Chou, Ying-Huang Tsai, Meng-Jer Hsieh","doi":"10.1186/s41479-024-00129-9","DOIUrl":"10.1186/s41479-024-00129-9","url":null,"abstract":"<p><strong>Rationale: </strong>The prevalence, clinical characteristics, and outcomes of invasive pulmonary aspergillosis in patients with severe community-acquired pneumonia (CAP) in intensive care units remain underestimated because of the lack of a disease-recognition scheme and the inadequacy of diagnostic tests.</p><p><strong>Objectives: </strong>To identify the prevalence, risk factors, and outcomes of severe CAP complicated with invasive pulmonary aspergillosis (IPA) in intensive care units (ICUs).</p><p><strong>Methods: </strong>We conducted a retrospective cohort study including recruited 311 ICU-hospitalized patients with severe CAP without influenza or with influenza. Bronchoalveolar lavage fluid (BALF) samples were from all patients and subjected to mycological testing. Patients were categorized as having proven or probable Aspergillus infection using a modified form of the AspICU algorithm comprising clinical, radiological, and mycological criteria.</p><p><strong>Measurements and main results: </strong>Of the 252 patients with severe CAP and 59 influenza patients evaluated, 24 met the diagnostic criteria for proven or probable Aspergillus infection in the CAP group and 9 patients in the influenza group, giving estimated prevalence values of 9.5% and 15.3%, respectively. COPD and the use of inhaled corticosteroids were independent risk factors for IPA. IPA in patients with severe CAP was significantly associated with the duration of mechanical support, the length of ICU stay, and the 28-day mortality.</p><p><strong>Conclusions: </strong>An aggressive diagnostic approach for IPA patients with severe CAP and not only influenza or COVID-19 should be pursued. Further randomized controlled trials need to evaluate the timing, safety, and efficacy of antifungal therapy in reducing IPA incidence and improving clinical outcomes.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":6.8,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11127357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141094531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PneumoniaPub Date : 2024-05-05DOI: 10.1186/s41479-024-00130-2
Alexander J Adamson, Constantinos Kallis, Ian Douglas, Jennifer K Quint
{"title":"Accuracy of the recording of pneumonia events in English electronic healthcare record data in patients with chronic obstructive pulmonary disease.","authors":"Alexander J Adamson, Constantinos Kallis, Ian Douglas, Jennifer K Quint","doi":"10.1186/s41479-024-00130-2","DOIUrl":"https://doi.org/10.1186/s41479-024-00130-2","url":null,"abstract":"<p><strong>Background: </strong>In primary care, identifying pneumonia events in people with chronic obstructive pulmonary disease (COPD) may be challenging due to similarities in symptoms with COPD exacerbations and lack of diagnostic testing. This study explored the accuracy of pneumonia diagnosis coded in primary care by comparing diagnosis in primary care with diagnosis in hospital.</p><p><strong>Methods: </strong>A study population of people with COPD in England was created using the Clinical Practice Research Datalink Aurum database linked with Hospital Episode Statistics inpatient data. Pneumonia codes only, and pneumonia code with associated clinical and/or treatment codes (chest x-ray, symptoms, antibiotics, sputum and blood culture) were used to determine pneumonia events in primary care. Events that were followed by hospitalisation within 7 days were used to estimate the positive predictive value (PPV) of pneumonia coding in primary care, using primary diagnosis of pneumonia in secondary care as the gold standard. The PPV of primary care recording of hospitalised pneumonia was also calculated.</p><p><strong>Results: </strong>Two hundred seventy-four thousand one hundred fifty-six COPD patients were eligible for inclusion, of whom 7,560 had an eligible pneumonia event in primary care diagnosed between 2015-2019 which was not 'hospital-acquired' and was diagnosed and entered on the same day. Of the 2,094 events which were followed by hospitalisation within 7 days, 1,208 had a primary diagnosis of pneumonia in hospital, representing a PPV of pneumonia coding in primary care of 57.7% (95% CI 55.6%-59.8%). Another 284 (13.6%) were diagnosed as a COPD exacerbation and 114 (5.4%) were diagnosed as another respiratory disease. Use of additional pneumonia clinical and treatment codes had a modest effect on the PPV but substantially lowered the number of events. Of the 33,603 eligible pneumonia events identified in secondary care, only 11,445 were recorded in primary care within 42 days, representing a sensitivity of 34.1% (95% CI 33.6%-34.6%).</p><p><strong>Conclusions: </strong>Use of primary care pneumonia codes and associated clinical and treatment codes to determine pneumonia is not recommended due to significant levels of misdiagnosis and many hospitalised events failing to be recorded in primary care.</p>","PeriodicalId":45120,"journal":{"name":"Pneumonia","volume":null,"pages":null},"PeriodicalIF":6.8,"publicationDate":"2024-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11070075/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140855560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}