某安全网医院COVID-19患者肾脏表现及其与死亡率和住院时间的关系

Pub Date : 2022-04-01 DOI:10.2478/jccm-2022-0010
Sandra Gomez-Paz, Eric Lam, Luis Gonzalez-Mosquera, Diana Cardenas-Maldonado, Joshua Fogel, Ellen Gabrielle Kagan, Sofia Rubinstein
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引用次数: 0

摘要

背景:COVID-19累及肾脏会导致严重的疾病和更高的死亡率。我们研究了COVID-19患者的肾脏参数及其与死亡率和住院时间的关系。方法:回顾性研究340例经诊断存在急性肾损伤的COVID-19肾受累患者。死亡率的logistic回归和住院时间(LOS)的线性回归的多变量分析,调整了相关的人口统计学、合并症、疾病严重程度和治疗协变量。结果:死亡率为54.4%,平均生存时间为12.9 d。死亡率方面,肌酐峰值(OR:35.27, 95% CI:2.81, 442.06)。结论:本研究强调了确定COVID-19患者肾脏受累参数的重要性。这些参数与LOS和死亡率相关,可以帮助临床医生预测肾脏受累的COVID-19患者。
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Renal Manifestations and their Association with Mortality and Length of Stay in COVID-19 Patients at a Safety-net Hospital.

Background: Renal involvement in COVID-19 leads to severe disease and higher mortality. We study renal parameters in COVID-19 patients and their association with mortality and length of stay in hospital.

Methods: A retrospective study (n=340) of confirmed COVID-19 patients with renal involvement determined by the presence of acute kidney injury. Multivariate analyses of logistic regression for mortality and linear regression for length of stay (LOS) adjusted for relevant demographic, comorbidity, disease severity, and treatment covariates.

Results: Mortality was 54.4% and mean LOS was 12.9 days. For mortality, creatinine peak (OR:35.27, 95% CI:2.81, 442.06, p<0.01) and persistent renal involvement at discharge (OR:4.47, 95% CI:1.99,10.06, p<0.001) were each significantly associated with increased odds for mortality. Increased blood urea nitrogen peak (OR:0.98, 95%CI:0.97,0.996, p<0.05) was significantly associated with decreased odds for mortality. For LOS, increased blood urea nitrogen peak (B:0.001, SE:<0.001, p<0.01), renal replacement therapy (B:0.19, SE:0.06, p<0.01), and increased days to acute kidney injury (B:0.19, SE:0.05, p<0.001) were each significantly associated with increased length of stay.

Conclusion: Our study emphasizes the importance in identifying renal involvement parameters in COVID-19 patients. These parameters are associated with LOS and mortality, and may assist clinicians to prognosticate COVID-19 patients with renal involvement.

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