R. Castillejo, J. Cordero, M. Romero-González, A. Martinez-Suarez
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Variables collected were demographics, comorbidities;situation during hospitalisation (defining severe situation as admission to intensive care unit (ICU) or intubation) and mortality at 14 and 30 days after hospital admission. Data were obtained through the digital medical record and managed by R software (V.4–2021).ResultsWe included 1924 patients in the non-oncological group, 47.5% (915) men with a median age of 67 years and interquartile range (IQR) of 53–77. 128 patients (6.23%) were included in the active oncohaematological group, 58.6% were men (median age 72 (IQR 63–78) years). The most prevalent oncohaematological processes were: lung cancer (16.4%), colorectal (15.6%), bladder (10.9%), breast (10.2%) and prostate (8.59%). Metastases were present in 42.2% of patients. The main comorbidities presented by oncohaematological patients with statistical significance versus non-oncological patients were diabetes mellitus (30.5% vs 19.4%), dyslipidaemia (46.9% vs 32.2%), hypertension (52.3% vs 42.0%), chronic renal failure (18.0% vs 8.73%), chronic obstructive pulmonary disease (22.7% vs 9.94%), obesity (14.1% vs 15.2%) and heart failure (13.3% vs 10.6%). In the oncohaematological group, 44.5% were in a serious condition during their admission. The number who died compared to non-oncohaematological patients was 23.4% versus 13.6% at day 14 and 29.7% versus 18.1% at day 30. The two main neoplasms in the deceased patients were lung cancer (26.3%) and colorectal cancer (21%). Univariate analysis showed a relative risk of 1.72 (1.23–2.4) and 1.64 (1.23–2.17) mortality at 14 and 30 days, respectively, for COVID-19 in patients with active oncohematological processes versus non-oncohematological processes.Conclusion and relevanceThe data reflect a higher mortality at 14 and 30 days due to COVID-19 in the oncohaematological population (72% and 64%, respectively). The oncohaematological population has a higher percentage of comorbidities associated with the total that may also influence this increased risk of mortality.References and/or acknowledgementsConflict of interestNo conflict of interest","PeriodicalId":393937,"journal":{"name":"Section 7: Post Congress additions","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"6ER-013 Analysis of patients’ mortality in SARS-CoV-2 infection during the first month of hospital admission\",\"authors\":\"R. Castillejo, J. Cordero, M. Romero-González, A. Martinez-Suarez\",\"doi\":\"10.1136/ejhpharm-2022-eahp.431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background and importanceAs of December 2019, the world is facing a pandemic caused by the SARS-CoV-2 coronavirus (COVID-19). Symptoms resulting from the infection vary widely, ranging from asymptomatic disease to pneumonia and life-threatening complications.Aim and objectivesThe aim was to study the impact of the active oncohaematological process on the severity and short-medium term mortality of COVID-19 infection.Material and methodsObservational retrospective study, carried out in a Spanish tertiary-level hospital. All patients diagnosed with COVID-19 and hospital admission between March 2020 and June 2021 were included. Variables collected were demographics, comorbidities;situation during hospitalisation (defining severe situation as admission to intensive care unit (ICU) or intubation) and mortality at 14 and 30 days after hospital admission. Data were obtained through the digital medical record and managed by R software (V.4–2021).ResultsWe included 1924 patients in the non-oncological group, 47.5% (915) men with a median age of 67 years and interquartile range (IQR) of 53–77. 128 patients (6.23%) were included in the active oncohaematological group, 58.6% were men (median age 72 (IQR 63–78) years). The most prevalent oncohaematological processes were: lung cancer (16.4%), colorectal (15.6%), bladder (10.9%), breast (10.2%) and prostate (8.59%). Metastases were present in 42.2% of patients. The main comorbidities presented by oncohaematological patients with statistical significance versus non-oncological patients were diabetes mellitus (30.5% vs 19.4%), dyslipidaemia (46.9% vs 32.2%), hypertension (52.3% vs 42.0%), chronic renal failure (18.0% vs 8.73%), chronic obstructive pulmonary disease (22.7% vs 9.94%), obesity (14.1% vs 15.2%) and heart failure (13.3% vs 10.6%). In the oncohaematological group, 44.5% were in a serious condition during their admission. The number who died compared to non-oncohaematological patients was 23.4% versus 13.6% at day 14 and 29.7% versus 18.1% at day 30. The two main neoplasms in the deceased patients were lung cancer (26.3%) and colorectal cancer (21%). Univariate analysis showed a relative risk of 1.72 (1.23–2.4) and 1.64 (1.23–2.17) mortality at 14 and 30 days, respectively, for COVID-19 in patients with active oncohematological processes versus non-oncohematological processes.Conclusion and relevanceThe data reflect a higher mortality at 14 and 30 days due to COVID-19 in the oncohaematological population (72% and 64%, respectively). The oncohaematological population has a higher percentage of comorbidities associated with the total that may also influence this increased risk of mortality.References and/or acknowledgementsConflict of interestNo conflict of interest\",\"PeriodicalId\":393937,\"journal\":{\"name\":\"Section 7: Post Congress additions\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Section 7: Post Congress additions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1136/ejhpharm-2022-eahp.431\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Section 7: Post Congress additions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1136/ejhpharm-2022-eahp.431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
背景及重要性截至2019年12月,世界正面临由新冠肺炎(COVID-19)引起的大流行。感染引起的症状差别很大,从无症状疾病到肺炎和危及生命的并发症。目的和目的研究活动性肿瘤血液学过程对COVID-19感染严重程度和中短期死亡率的影响。材料与方法观察性回顾性研究,在西班牙一家三级医院进行。所有在2020年3月至2021年6月期间被诊断为COVID-19并住院的患者都被纳入其中。收集的变量包括人口统计学、合并症、住院期间的情况(将严重情况定义为入住重症监护病房(ICU)或插管)以及入院后14天和30天的死亡率。数据通过数字病历获取,并由R软件(V.4-2021)管理。结果我们纳入了1924例非肿瘤组患者,其中47.5%(915例)为男性,中位年龄为67岁,四分位间距(IQR)为53-77。活动性血液肿瘤组128例(6.23%),58.6%为男性(中位年龄72岁(IQR 63-78)岁)。最常见的肿瘤血液学病变为:肺癌(16.4%)、结直肠癌(15.6%)、膀胱癌(10.9%)、乳腺癌(10.2%)和前列腺癌(8.59%)。42.2%的患者存在转移。与非肿瘤患者相比,血液肿瘤患者出现的主要合并症为糖尿病(30.5% vs 19.4%)、血脂异常(46.9% vs 32.2%)、高血压(52.3% vs 42.0%)、慢性肾功能衰竭(18.0% vs 8.73%)、慢性阻塞性肺疾病(22.7% vs 9.94%)、肥胖(14.1% vs 15.2%)和心力衰竭(13.3% vs 10.6%)。在血液肿瘤组中,44.5%的患者入院时病情严重。与非血液肿瘤患者相比,第14天和第30天的死亡人数分别为23.4%和13.6%和29.7%和18.1%。死亡患者的两种主要肿瘤是肺癌(26.3%)和结直肠癌(21%)。单因素分析显示,活动性血液肿瘤过程患者与非血液肿瘤过程患者在14天和30天死亡的相对风险分别为1.72(1.23-2.4)和1.64(1.23-2.17)。数据显示,在血液肿瘤患者中,COVID-19在14天和30天的死亡率较高(分别为72%和64%)。血液病人群的合并症比例较高,这也可能影响死亡风险的增加。参考文献和/或致谢利益冲突无利益冲突
6ER-013 Analysis of patients’ mortality in SARS-CoV-2 infection during the first month of hospital admission
Background and importanceAs of December 2019, the world is facing a pandemic caused by the SARS-CoV-2 coronavirus (COVID-19). Symptoms resulting from the infection vary widely, ranging from asymptomatic disease to pneumonia and life-threatening complications.Aim and objectivesThe aim was to study the impact of the active oncohaematological process on the severity and short-medium term mortality of COVID-19 infection.Material and methodsObservational retrospective study, carried out in a Spanish tertiary-level hospital. All patients diagnosed with COVID-19 and hospital admission between March 2020 and June 2021 were included. Variables collected were demographics, comorbidities;situation during hospitalisation (defining severe situation as admission to intensive care unit (ICU) or intubation) and mortality at 14 and 30 days after hospital admission. Data were obtained through the digital medical record and managed by R software (V.4–2021).ResultsWe included 1924 patients in the non-oncological group, 47.5% (915) men with a median age of 67 years and interquartile range (IQR) of 53–77. 128 patients (6.23%) were included in the active oncohaematological group, 58.6% were men (median age 72 (IQR 63–78) years). The most prevalent oncohaematological processes were: lung cancer (16.4%), colorectal (15.6%), bladder (10.9%), breast (10.2%) and prostate (8.59%). Metastases were present in 42.2% of patients. The main comorbidities presented by oncohaematological patients with statistical significance versus non-oncological patients were diabetes mellitus (30.5% vs 19.4%), dyslipidaemia (46.9% vs 32.2%), hypertension (52.3% vs 42.0%), chronic renal failure (18.0% vs 8.73%), chronic obstructive pulmonary disease (22.7% vs 9.94%), obesity (14.1% vs 15.2%) and heart failure (13.3% vs 10.6%). In the oncohaematological group, 44.5% were in a serious condition during their admission. The number who died compared to non-oncohaematological patients was 23.4% versus 13.6% at day 14 and 29.7% versus 18.1% at day 30. The two main neoplasms in the deceased patients were lung cancer (26.3%) and colorectal cancer (21%). Univariate analysis showed a relative risk of 1.72 (1.23–2.4) and 1.64 (1.23–2.17) mortality at 14 and 30 days, respectively, for COVID-19 in patients with active oncohematological processes versus non-oncohematological processes.Conclusion and relevanceThe data reflect a higher mortality at 14 and 30 days due to COVID-19 in the oncohaematological population (72% and 64%, respectively). The oncohaematological population has a higher percentage of comorbidities associated with the total that may also influence this increased risk of mortality.References and/or acknowledgementsConflict of interestNo conflict of interest