Rozman Aleš, Rituper Boštjan, Kačar Mark, Kopač Peter, Zidarn Mihaela, Pohar Perme Maja
University Clinic of Respiratory and Allergic Diseases Golnik, Golnik 36, 4204 Golnik, Slovenia.
University of Ljubljana, Medical Faculty, Vrazov trg 2, 1000 Ljubljana, Slovenia.
Zdr Varst. 2022 Sep 28;61(4):201-208. doi: 10.2478/sjph-2022-0027. eCollection 2022 Dec.
As of writing, there are no publications pertaining to the prediction of COVID-19-related outcomes and length of stay in patients from Slovene hospitals.
To evaluate the length of regular ward and ICU stays and assess the survival of COVID-19 patients to develop better prediction models to forecast hospital capacity and staffing demands in possible further pandemic peaks.
In this retrospective, single-site study we analysed the length of stay and survival of all patients, hospitalized due to the novel coronavirus (COVID-19) at the peak of the second wave, between November 18th 2020 and January 27th 2021 at the University Clinic Golnik, Slovenia.
Out of 407 included patients, 59% were male. The median length of stay on regular wards was 7.5 (IQR 5-13) days, and the median ICU length of stay was 6 (IQR 4-11) days. Age, male sex, and ICU stay were significantly associated with a higher risk of death. The probability of dying in 21 days at the regular ward was 14.4% (95% CI [10.9-18%]) and at the ICU it was 43.6% (95% CI [19.3-51.8%]).
The survival of COVID-19 is strongly affected by age, sex, and the fact that a patient had to be admitted to ICU, while the length of hospital bed occupancy is very similar across different demographic groups. Knowing the length of stay and admission rate to ICU is important for proper planning of resources during an epidemic.
在撰写本文时，尚无关于斯洛文尼亚医院中新冠病毒病（COVID-19）相关预后及住院时长预测的出版物。
评估普通病房和重症监护病房（ICU）的住院时长，并评估COVID-19患者的生存率，以开发更好的预测模型，预测在可能出现的进一步疫情高峰时的医院容量和人员配备需求。
在这项回顾性单中心研究中，我们分析了2020年11月18日至2021年1月27日第二波疫情高峰期间，斯洛文尼亚戈尔尼克大学诊所收治的所有因新型冠状病毒（COVID-19）住院患者的住院时长和生存率。
在纳入的407例患者中，59%为男性。普通病房的中位住院时长为7.5（四分位间距5 - 13）天，ICU的中位住院时长为6（四分位间距4 - 11）天。年龄、男性性别和入住ICU与较高的死亡风险显著相关。在普通病房21天内死亡的概率为14.4%（95%置信区间[10.9 - 18%]），在ICU为43.6%（95%置信区间[19.3 - 51.8%]）。
COVID-19的生存情况受到年龄、性别以及患者是否必须入住ICU的强烈影响，而不同人口统计学组别的病床占用时长非常相似。了解住院时长和入住ICU的比率对于疫情期间的资源合理规划很重要。
