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严重 COVID-19 肺炎患者死亡的预测因素——一项回顾性研究。

Predictors of mortality in patients with severe COVID-19 pneumonia - a retrospective study.

机构信息

Department of Respiratory Medicine, Shimoga Institute Of Medical Sciences, Shimoga, Karnataka, India.

Department of Respiratory Medicine, JSS Medical College, JSS University, Mysore, Karnataka, India.

出版信息

Adv Respir Med. 2021;89(2):135-144. doi: 10.5603/ARM.a2021.0036.

Abstract

INTRODUCTION

The novel coronavirus pandemic has caused significant mortality throughout the world. This study was done as there is scarce data on mortality predictors in severe COVID-19 pneumonia patients admitted to ICU in the Indian population.

MATERIAL AND METHODS

A retrospective study was conducted on COVID-19 pneumonia patients admitted to tertiary care center during June-October 2020. The records of patients admitted to ICU were collected and data included demography, symptoms, comorbidites and vital parameters. Laboratory parameters included complete hemogram, random blood sugar, S.Ferritin, S.LDH, renal function test, liver function test. Treatment-associated information such as the use of remdesivir, timing of initiating rem-desivir after the symptom onset, the use of steroids, use of anticoagulants, use of HFNC, NIV, ventilator were collected. 30 days mortality data post-discharge was collected via telephonic interview.

RESULTS

4,012 confirmed cases of COVID-19 were admitted to hospital, of which 560 (13.95%) with severe pneumonia were included in the study. Mean age was 57.75 ± 13.96 years. The mortality rates were 54.64% among severe COVID-19 cases and 5% among mild to moderate COVID-19 cases. The Cox multinominal regression analysis identified SpO2/FiO2 < 400, age > 50 years, duration of symptom > 4 days, serum ferritin > 450 µg/L, respiratory rate > 23/min, the presence of comorbidities and non-usage of remdesivir were independently associated with increased mortality. Mortality rate at 30 days was 56.60%.

CONCLUSION

Severe COVID-19 pneumonia is associated with very high mortality, especially in a resource-constrained setting. The use of remdesivir may have to be considered early in the course of disease to prevent excess mortality related to COVID-19.

摘要

引言

新型冠状病毒大流行在全球范围内造成了大量死亡。本研究旨在探讨印度人群中重症 COVID-19 肺炎患者入住 ICU 的死亡预测因素,因为目前这方面的数据非常有限。

材料和方法

本研究为回顾性研究,纳入 2020 年 6 月至 10 月期间入住三级护理中心的 COVID-19 肺炎患者。收集了入住 ICU 患者的记录,数据包括人口统计学、症状、合并症和生命体征。实验室参数包括全血细胞计数、随机血糖、血清铁蛋白、血清乳酸脱氢酶、肾功能检查、肝功能检查。收集了与治疗相关的信息,如瑞德西韦的使用、症状出现后开始使用瑞德西韦的时间、类固醇的使用、抗凝剂的使用、高频振荡通气、无创通气、呼吸机的使用。通过电话访谈收集出院后 30 天的死亡率数据。

结果

共有 4012 例 COVID-19 确诊病例住院,其中 560 例(13.95%)为重症肺炎患者纳入本研究。患者的平均年龄为 57.75 ± 13.96 岁。重症 COVID-19 患者的死亡率为 54.64%,轻症至中度 COVID-19 患者的死亡率为 5%。Cox 多分类回归分析确定 SpO2/FiO2<400、年龄>50 岁、症状持续时间>4 天、血清铁蛋白>450μg/L、呼吸频率>23/min、存在合并症和未使用瑞德西韦与死亡率增加独立相关。30 天死亡率为 56.60%。

结论

重症 COVID-19 肺炎与极高的死亡率相关,尤其是在资源有限的环境中。在疾病早期使用瑞德西韦可能需要考虑,以防止与 COVID-19 相关的过度死亡。

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