Factors Associated with 28-day Critical Illness Development During the First Wave of COVID-19

被引:0
作者
Sili, Uluhan [1 ]
Ay, Pinar [2 ]
Topuzoglu, Ahmet [2 ]
Bilgin, Huseyin [1 ]
Tukenmez-Tigen, Elif [1 ]
Erturk-Sengel, Buket [1 ]
Yagci-Caglayik, Dilek [1 ]
Balcan, Baran [3 ]
Kocakaya, Derya [3 ]
Olgun-Yildizeli, Sehnaz [3 ]
Gul, Fethi [4 ]
Bilgili, Beliz [4 ]
Can-Sarinoglu, Rabia [5 ]
Karahasan-Yagci, Aysegul [5 ]
Mulazimoglu-Durmusoglu, Lutfiye [1 ]
Eryuksel, Emel [3 ]
Odabasi, Zekaver [1 ]
Direskeneli, Haner [6 ]
Karakurt, Sait [3 ]
Cinel, Ismail [4 ]
Korten, Volkan [1 ]
机构
[1] Marmara Univ, Sch Med, Dept Infect Dis & Clin Microbiol, Istanbul, Turkiye
[2] Marmara Univ, Dept Publ Hlth, Sch Med, Istanbul, Turkiye
[3] Marmara Univ, Dept Pulm Med, Sch Med, Istanbul, Turkiye
[4] Marmara Univ, Dept Anesthesiol & Intens Care, Sch Med, Istanbul, Turkiye
[5] Marmara Univ, Dept Med Microbiol, Sch Med, Istanbul, Turkiye
[6] Marmara Univ, Sch Med, Dept Internal Med, Istanbul, Turkiye
来源
INFECTIOUS DISEASES AND CLINICAL MICROBIOLOGY | 2023年 / 5卷 / 02期
关键词
COVID-19; prospective cohort; critical illness; prognosis; RISK;
D O I
10.36519/idcm.2023.206
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objective: This study aimed to define the predictors of critical illness development within 28 days postadmission during the first wave of the COVID-19 pandemic. Materials and Methods: We conducted a prospective cohort study including 477 PCR-positive COVID-19 patients admitted to a tertiary care hospital in Istanbul from March 12 to May 12, 2020. Results: The most common presenting symptoms were cough, dyspnea, and fatigue. Critical illness developed in 45 (9.4%; 95% CI=7.0%-12.4%) patients. In the multivariable analysis, age (hazard ratio (HR)=1.05, p<0.001), number of comorbidities (HR=1.33, p=0.02), procalcitonin >= 0.25 mu g/L (HR=2.12, p=0.03) and lactate dehydrogenase (LDH) >= 350 U/L (HR=2.04, p=0.03) were independently associated with critical illness development. The World Health Organization (WHO) ordinal scale for clinical improvement on admission was the strongest predictor of critical illness (HR=4.15, p<0.001). The patients hospitalized at the end of the study period had a much better prognosis compared to the patients hospitalized at the beginning (HR=0.14; p=0.02). The C-index of the model was 0.92. Conclusion: Age, comorbidity number, the WHO scale, LDH, and procalcitonin were inde-pendently associated with critical illness development. Mortality from COVID-19 seemed to be decreasing as the first wave of the pandemic advanced.
引用
收藏
页码:94 / 105
页数:12
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