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印度北方邦西部一家医疗机构中影响新冠病毒病患者死亡率的临床人口统计学因素

Clinico-demographic factors affecting mortality in COVID-19 patients at a health care facility, Western Uttar Pradesh.

作者信息

Singh Swati, Sisodia Anupam, Athwani Meghna

机构信息

Department of Community Medicine, T.S. Misra Medical College and Hospital, Lucknow, Uttar Pradesh, India.

Department of Pediatrics, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

出版信息

J Family Med Prim Care. 2025 Jan;14(1):196-200. doi: 10.4103/jfmpc.jfmpc_983_24. Epub 2025 Jan 13.

Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-19) a global problem, has affected all aspects of health, that is, physical, social, and mental. Our study aimed to describe various social-demographic factors and existing comorbidities that affected mortality in COVID-19 admitted patients.

MATERIALS AND METHODS

This was a hospital-based retrospective study. The study included medical records of COVID-19 patients admitted from April 2021 to August 2021. Data was entered in Microsoft Excel 2013 and analyzed in STATA version 18.0. The Chi-square test, unpaired -test, and Cox proportional hazard model were employed for analysis.

RESULTS

Of the total 1156 admitted patients, 103 hospitalized patients progressed to death (8.91%). Factors found to be significant with non-survivorship were age, residence, admission status, and coexisting comorbidities. In hazard analysis, geriatric patients had 4.358 times more hazard of death. Patients with diabetes and hypertension had two times higher hazard of death than patients without these comorbidities.

CONCLUSION

Mortality of patients was substantially higher in patients' ages above 60 years and patients with comorbidities. Therefore, close monitoring and priority treatment should be provided to elderly patients and patients with comorbidities.

摘要

背景

2019年冠状病毒病(COVID-19)是一个全球性问题,已影响到健康的各个方面,即身体、社会和心理方面。我们的研究旨在描述影响COVID-19住院患者死亡率的各种社会人口因素和现有合并症。

材料与方法

这是一项基于医院的回顾性研究。该研究纳入了2021年4月至2021年8月收治的COVID-19患者的病历。数据录入Microsoft Excel 2013,并在STATA 18.0版本中进行分析。采用卡方检验、非配对t检验和Cox比例风险模型进行分析。

结果

在总共1156名住院患者中,103名住院患者死亡(8.91%)。发现与死亡相关的因素有年龄、居住地、入院状态和并存的合并症。在风险分析中,老年患者的死亡风险高出4.358倍。患有糖尿病和高血压的患者的死亡风险是没有这些合并症患者的两倍。

结论

60岁以上患者和合并症患者的死亡率显著更高。因此,应密切监测老年患者和合并症患者并给予优先治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73c8/11844968/95a8fa97b0be/JFMPC-14-196-g004.jpg

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