Suppr超能文献

印度单中心回顾性队列研究:住院 COVID-19 患者的临床人口统计学特征和不良结局预测因素。

Clinicodemographic profile and predictors of poor outcome in hospitalised COVID-19 patients: a single-centre, retrospective cohort study from India.

机构信息

Pediatrics, All India Institute of Medical Sciences, Patna, Bihar, India

Pediatrics, All India Institute of Medical Sciences, Patna, Bihar, India.

出版信息

BMJ Open. 2022 Jun 1;12(6):e056464. doi: 10.1136/bmjopen-2021-056464.

Abstract

OBJECTIVES

Primary objective was to study the clinicodemographic profile of hospitalised COVID-19 patients at a tertiary-care centre in India. Secondary objective was to identify predictors of poor outcome.

SETTING

Single centre tertiary-care level.

DESIGN

Retrospective cohort study.

PARTICIPANTS

Consecutively hospitalised adults patients with COVID-19.

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary outcome variable was in-hospital mortality. Covariables were known comorbidities, clinical features, vital signs at the time of admission and on days 3-5 of admission, and initial laboratory investigations.

RESULTS

Intergroup differences were tested using χ or Fischer's exact tests, Student's t-test or Mann-Whitney U test. Predictors of mortality were evaluated using multivariate logistic regression model. Out of 4102 SARS-CoV-2 positive patients admitted during 1-year period, 3268 (79.66%) survived to discharge and 834 (20.33%) died in the hospital. Mortality rates increased with age. Death was more common among males (OR 1.51, 95% CI 1.25 to 1.81). Out of 261 cases analysed in detail, 55.1% were in mild, 32.5% in moderate and 12.2% in severe triage category. Most common clinical presentations in the subgroup were fever (73.2%), cough/coryza (65.5%) and breathlessness (54%). Hypertension (45.2%), diabetes mellitus (41.8%) and chronic kidney disease (CKD; 6.1%) were common comorbidities. Disease severity on admission (adjusted OR 12.53, 95% CI 4.92 to 31.91, p<0.01), coagulation defect (33.21, 3.85-302.1, p<0.01), CKD (5.67, 1.08-29.64, p=0.04), high urea (11.05, 3.9-31.02, p<0.01), high prothrombin time (3.91, 1.59-9.65, p<0.01) and elevated ferritin (1.02, 1.00-1.03, p=0.02) were associated with poor outcome on multivariate regression. A strong predictor of mortality was disease progression on days 3-5 of admission (adjusted OR 13.66 95% CI 3.47 to 53.68).

CONCLUSION

COVID-19 related mortality in hospitalised adult patients at our center was similar to the developed countries. Progression in disease severity on days 3-5 of admission or days 6-13 of illness onset acts as 'turning point' for timely referral or treatment intensification for optimum use of resources.

摘要

目的

研究印度一家三级保健中心住院 COVID-19 患者的临床特征。次要目的是确定不良预后的预测因素。

地点

单中心三级保健水平。

设计

回顾性队列研究。

参与者

连续住院的成年 COVID-19 患者。

主要和次要结果测量

主要结局变量为院内死亡率。协变量为已知合并症、临床特征、入院时和入院后 3-5 天的生命体征以及初始实验室检查。

结果

使用卡方或费舍尔精确检验、学生 t 检验或曼-惠特尼 U 检验测试组间差异。使用多元逻辑回归模型评估死亡率的预测因素。在 1 年期间住院的 4102 例 SARS-CoV-2 阳性患者中,3268 例(79.66%)存活出院,834 例(20.33%)在医院死亡。死亡率随年龄增长而增加。男性死亡率更高(OR 1.51,95%CI 1.25 至 1.81)。在详细分析的 261 例病例中,55.1%为轻度、32.5%为中度和 12.2%为重度分诊类别。亚组中最常见的临床症状是发热(73.2%)、咳嗽/鼻塞(65.5%)和呼吸困难(54%)。高血压(45.2%)、糖尿病(41.8%)和慢性肾脏病(CKD;6.1%)是常见合并症。入院时疾病严重程度(调整后的 OR 12.53,95%CI 4.92 至 31.91,p<0.01)、凝血功能障碍(33.21,3.85-302.1,p<0.01)、CKD(5.67,1.08-29.64,p=0.04)、高尿素(11.05,3.9-31.02,p<0.01)、高凝血酶原时间(3.91,1.59-9.65,p<0.01)和铁蛋白升高(1.02,1.00-1.03,p=0.02)与多变量回归不良预后相关。入院后 3-5 天或发病后 6-13 天疾病严重程度进展是死亡的强预测因素(调整后的 OR 13.66,95%CI 3.47 至 53.68)。

结论

我们中心住院成年 COVID-19 患者的 COVID-19 相关死亡率与发达国家相似。入院后 3-5 天或发病后 6-13 天疾病严重程度进展是及时转介或治疗强化的“转折点”,以优化资源利用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a6a/9160596/509ce98baed0/bmjopen-2021-056464f01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验