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
相关论文
共 33 条
[1]   Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe [J].
Aguiar, M. ;
Stollenwerk, N. .
PUBLIC HEALTH, 2020, 188 :18-20
[2]   Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients [J].
Allenbach, Yves ;
Saadoun, David ;
Maalouf, Georgina ;
Vieira, Matheus ;
Hellio, Alexandra ;
Boddaert, Jacques ;
Gros, Helene ;
Salem, Joe Elie ;
Resche Rigon, Matthieu ;
Menyssa, Cherifa ;
Biard, Lucie ;
Benveniste, Olivier ;
Cacoub, Patrice .
PLOS ONE, 2020, 15 (10)
[3]   Covid-19 related hospital admissions in the United States: needs and outcomes [J].
Anesi, George L. ;
Halpern, Scott D. ;
Delgado, M. Kit .
BMJ-BRITISH MEDICAL JOURNAL, 2020, 369
[4]  
[Anonymous], 2020, COVID-19 Weekly Situation Report 13/07/2020
[5]   Thromboembolism and anticoagulant therapy during the COVID-19 pandemic: interim clinical guidance from the anticoagulation forum [J].
Barnes, Geoffrey D. ;
Burnett, Allison ;
Allen, Arthur ;
Blumenstein, Marilyn ;
Clark, Nathan P. ;
Cuker, Adam ;
Dager, William E. ;
Deitelzweig, Steven B. ;
Ellsworth, Stacy ;
Garcia, David ;
Kaatz, Scott ;
Minichiello, Tracy .
JOURNAL OF THROMBOSIS AND THROMBOLYSIS, 2020, 50 (01) :72-81
[6]   Predictors for in-hospital mortality from coronavirus disease 2019 (COVID-19) infection among adults aged 18-65 years [J].
Bhargava, Ashish ;
Sharma, Mamta ;
Akagi, Elisa ;
Szpunar, Susanna M. ;
Saravolatz, Louis .
INFECTION CONTROL & HOSPITAL EPIDEMIOLOGY, 2021, 42 (06) :772-775
[7]  
Bhimraj A, 2022, IDSA Guidelines on the Treatment and Management of Patients with COVID-19
[8]  
Version 10.2.0
[9]   Risk factors for disease progression in patients with mild to moderate coronavirus disease 2019-a multi-centre observational study [J].
Cen, Y. ;
Chen, X. ;
Shen, Y. ;
Zhang, X. -H. ;
Lei, Y. ;
Xu, C. ;
Jiang, W. -R. ;
Xu, H. -T. ;
Chen, Y. ;
Zhu, J. ;
Zhang, L. -L. ;
Liu, Y. -H. .
CLINICAL MICROBIOLOGY AND INFECTION, 2020, 26 (09) :1242-1247
[10]   COVID-19 outbreak control, example of ministry of health of Turkey [J].
Demirbilek, Yasemin ;
Pehlivanturk, Gulen ;
Ozguler, Zeynep Ozge ;
Alp Mese, Emine .
TURKISH JOURNAL OF MEDICAL SCIENCES, 2020, 50 :489-494