ArticleEpidemiology and infection2020
Development and validation of the patient history COVID-19 (PH-Covid19) scoring system: a multivariable prediction model of death in Mexican patients with COVID-19.
Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effects of hypertension on the prognosis of coronavirus disease 2019: a systematic review and meta-analysis on the interactions with age and antihypertensive treatment.Journal of hypertension · 2022Pooled it
- Article
- Prognostic significance of hypertension history and blood pressure on admission in Japanese patients with coronavirus disease 2019: integrative analysis from the Japan COVID-19 Task Force.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Age and Comorbidities as Risk Factors for Severe COVID-19 in Mexico, before, during and after Massive Vaccination.Vaccines · 2023Article
- Mortality in patients with interstitial lung diseases hospitalized by severe or critical COVID-19.BMC pulmonary medicine · 2023Article
- Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study.Future virology · 2023Article
- Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach.BMC infectious diseases · 2023Article
- Modeling mortality risk in patients with severe COVID-19 from Mexico.Frontiers in medicine · 2023Article
- Regional moderate hyperthermia for mild-to-moderate COVID-19 (TherMoCoV study): a randomized controlled trial.Frontiers in medicine · 2023Article
- Development and validation of a population-based risk stratification model for severe COVID-19 in the general population.Scientific reports · 2022Article
- Awake prone positioning and oxygen therapy in patients with COVID-19: the APRONOX study.The European respiratory journal · 2022Observational
- Article
- New Scoring System for Predicting Mortality in Patients with COVID-19.Yonsei medical journal · 2021Article
- Evaluating risk stratification scoring systems to predict mortality in patients with COVID-19.BMJ health & care informatics · 2021Review
- Usefulness of Easy-to-Use Risk Scoring Systems Rated in the Emergency Department to Predict Major Adverse Outcomes in Hospitalized COVID-19 Patients.Journal of clinical medicine · 2021Article
- Obesity is a strong risk factor for short-term mortality and adverse outcomes in Mexican patients with COVID-19: a national observational study.Epidemiology and infection · 2021Observational
- COPD and the risk of poor outcomes in COVID-19: A systematic review and meta-analysis.EClinicalMedicine · 2021Article
- Prevalence and Risk Factors of Home Quarantine Strategy Implementation Among Chinese Residents During the Coronavirus Disease 2019 Pandemic.Frontiers in psychology · 2021Article
- Risk factors associated with COVID-19-induced death in patients hospitalized in intensive care units (ICUs) in a city in Southern Brazil.Toxicology reports · 2021Article
- All-cause mortality among patients treated with repurposed antivirals and antibiotics for COVID-19 in Mexico City: A real-world observational study.EXCLI journal · 2021Article
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9 authors.
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Abstract
Most of the existing prediction models for COVID-19 lack validation, are inadequately reported or are at high risk of bias, a reason which has led to discourage their use. Few existing models have the potential to be extensively used by healthcare providers in low-resource settings since many require laboratory and imaging predictors. Therefore, we sought to develop and validate a multivariable prediction model of death in Mexican patients with COVID-19, by using demographic and patient history predictors. We conducted a national retrospective cohort study in two different sets of patients from the Mexican COVID-19 Epidemiologic Surveillance Study. Patients with a positive reverse transcription-polymerase chain reaction for SARS-CoV-2 and complete unduplicated data were eligible. In total, 83 779 patients were included to develop the scoring system through a multivariable Cox regression model; 100 000, to validate the model. Eight predictors (age, sex, diabetes, chronic obstructive pulmonary disease, immunosuppression, hypertension, obesity and chronic kidney disease) were included in the scoring system called PH-Covid19 (range of values: -2 to 25 points). The predictive model has a discrimination of death of 0.8 (95% confidence interval (CI) 0.796-0.804). The PH-Covid19 scoring system was developed and validated in Mexican patients to aid clinicians to stratify patients with COVID-19 at risk of fatal outcomes, allowing for better and efficient use of resources.
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