Observational studyEpidemiology and infection2021
Predicting respiratory failure for COVID-19 patients in Japan: a simple clinical score for evaluating the need for hospitalisation.
Observational study in Epidemiology and infection, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Optimizing Intubation Prediction in Pneumonia Patients: A Systematic Review and Meta-Analysis of Machine Learning Algorithms.Pulmonary medicine · 2026Pooled it
- Early hypoxia prediction in diseased patients via wheezing sounds in respiration: a prospective cohort study.Frontiers in medicine · 2025Article
- Article
- Article
- Risk Factors for Bleeding in Coronavirus Disease 2019 Patients on Extracorporeal Membrane Oxygenation and Effects of Transcatheter Arterial Embolization for Hemostasis.Interventional radiology (Higashimatsuyama-shi (Japan) · 2023Article
- Article
- Association between vaccination status and COVID-19-related health outcomes among community-dwelling COVID-19 patients in Nara, Japan.Environmental health and preventive medicine · 2023Observational
- Association between vaccination status and severe health consequences among community-dwelling COVID-19 patients during Omicron BA.1/BA.2 and BA.5-predominant periods in Japan.Environmental health and preventive medicine · 2023Article
- High Fever, Wide Distribution of Viral Pneumonia, and Pleural Effusion are More Critical Findings at the First Visit in Predicting the Prognosis of COVID-19: A Single Center, retrospective, Propensity Score-Matched Case-Control Study.International journal of general medicine · 2023Article
- Descriptive epidemiology of COVID-19 in Japan 2020: insights from a multihospital database.Annals of clinical epidemiology · 2023Article
- Predictive model of risk factors of High Flow Nasal Cannula using machine learning in COVID-19.Infectious Disease Modelling · 2022Article
- Interferon lambda 3 in the early phase of coronavirus disease-19 can predict oxygen requirement.European journal of clinical investigation · 2022Article
- Evaluation of the representativeness of data in the COVID-19 Registry Japan during the first six waves of the epidemic.Global health & medicine · 2022Review
- A Convenient Risk Prediction Score for COVID-19 for Determining Whether or Not Hospitalization Is Recommended: Kanagawa Admission Priority Assessment Score.Internal medicine (Tokyo, Japan) · 2022Article
- Clinical characteristics of the first three waves of hospitalised patients with COVID-19 in Japan prior to the widespread use of vaccination: a nationwide observational study.The Lancet regional health. Western Pacific · 2022Article
- Effectiveness of remdesivir in hospitalized nonsevere patients with COVID-19 in Japan: A large observational study using the COVID-19 Registry Japan.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Observational
- Methylprednisolone pulse therapy for critically ill patients with coronavirus disease 2019: A single-center retrospective observational study.Acute medicine & surgeryArticle
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predicting the need for hospitalisation of patients with coronavirus disease 2019 (COVID-19) is important for preventing healthcare disruptions. This observational study aimed to use the COVID-19 Registry Japan (COVIREGI-JP) to develop a simple scoring system to predict respiratory failure due to COVID-19 using only underlying diseases and symptoms. A total of 6873 patients with COVID-19 admitted to Japanese medical institutions between 1 June 2020 and 2 December 2020 were included and divided into derivation and validation cohorts according to the date of admission. We used multivariable logistic regression analysis to create a simple risk score model, with respiratory failure as the outcome for young (18-39 years), middle-aged (40-64 years) and older (≥65 years) groups, using sex, age, body mass index, medical history and symptoms. The models selected for each age group were quite different. Areas under the receiver operating characteristic curves for the simple risk score model were 0.87, 0.79 and 0.80 for young, middle-aged and elderly derivation cohorts, and 0.81, 0.80 and 0.67 in the validation cohorts. Calibration of the model was good. The simple scoring system may be useful in the appropriate allocation of medical resources during the COVID-19 pandemic.
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Registered trials
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