Al Omair Omar A, Essa Abdallah, Elzorkany Khaled, Shehab-Eldeen Somaia, Alarfaj Hamzah M, Alarfaj Sumaia M, Alabdulqader Fatimah, Aldoughan Alghaydaa, Agha Mohammed, Ali Sayed I, Darwish Ehab
Internal Medicine Department, College of Medicine, King Faisal University, Al-Ahsa, Kingdom of Saudi Arabia.
Tropical Medicine Department, Faculty of Medicine, Menoufia University, Shebin Elkom, Egypt.
Int J Gen Med. 2023 Aug 1;16:3267-3280. doi: 10.2147/IJGM.S418243. eCollection 2023.
The emerging COVID-19 coronavirus disease has widely spread, causing a serious worldwide pandemic. Disease severity and mortality risk can be predicted using an analysis of COVID-19 clinical characteristics. Finding out what influences patients' hospitalization length and in-hospital mortality is crucial for decision-making and planning for emergencies. The goal of this study is to identify the factors that influence hospital stay length and in-hospital death due to COVID-19 infection.
This cross-sectional study was conducted from August to October 2020 and included 630 patients with a confirmed diagnosis of COVID-19 infection. Using odds ratios (OR) and 95% confidence intervals (CI), a multivariable logistic regression model was used to assess the variables that are linked to longer hospital stays and in-hospital deaths.
Most patients were male (64.3%), and most were older than 40 years (81.4%). The mean length of hospital stay (LoHS) was 10.4±11.6 days. The overall death rate among these COVID-19 cases was 14.3%. Non-survivors were older, had more comorbidities, had prolonged LoHS with increased ICU admission rates and mechanical ventilation usage, and had a more severe condition than survivors. ICU admission, low serum albumin, and elevated LDH levels were associated with longer LoHS, while ICU admission, DM, and respiratory diseases as comorbidities, total leukocytic count, and serum albumin were predictors of mortality.
Longer LoHS due to COVID-19 infection was linked to ICU admission, low serum albumin, and elevated LDH levels, while the independent predictors of in-hospital death were ICU admission, DM, and respiratory diseases as comorbidities, total leukocytic count, and serum albumin.
新型冠状病毒肺炎已广泛传播，在全球范围内引发了严重的大流行。通过对新型冠状病毒肺炎临床特征的分析，可以预测疾病的严重程度和死亡风险。明确影响患者住院时间和院内死亡率的因素对于应急决策和规划至关重要。本研究的目的是确定影响新型冠状病毒肺炎感染患者住院时间和院内死亡的因素。
本横断面研究于2020年8月至10月进行，纳入630例确诊为新型冠状病毒肺炎感染的患者。使用比值比（OR）和95%置信区间（CI），采用多变量逻辑回归模型评估与住院时间延长和院内死亡相关的变量。
大多数患者为男性（64.3%），大多数年龄超过40岁（81.4%）。平均住院时间（LoHS）为10.4±11.6天。这些新型冠状病毒肺炎病例的总体死亡率为14.3%。非幸存者年龄更大，合并症更多，住院时间延长，重症监护病房（ICU）入住率和机械通气使用率增加，病情比幸存者更严重。入住ICU、血清白蛋白水平低和乳酸脱氢酶（LDH）水平升高与住院时间延长有关，而入住ICU、糖尿病（DM）和呼吸系统疾病作为合并症、白细胞总数和血清白蛋白是死亡率的预测因素。
新型冠状病毒肺炎感染导致的住院时间延长与入住ICU、血清白蛋白水平低和LDH水平升高有关，而院内死亡的独立预测因素是入住ICU、DM和呼吸系统疾病作为合并症、白细胞总数和血清白蛋白。
