Predictors Of Mortality In Hospitalized COVID-19 Patients: A Mexican Population-Based Cohort Study.

Mesta, Fernando; Coll, Ángel Mario; Ramírez, Miguel Ángel; Delgado-Roche, Liván

doi:10.37796/2211-8039.1124

Cited by 10 publications

(14 citation statements)

References 19 publications

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Section: Discussionsupporting

confidence: 93%

“…In a previous study of confirmed COVID-19 cases in Mexico, an age older than 41 years was associated with an increased risk of COVID-19 mortality, in line with our findings that the number of cases of death grew exponentially from the age group 40-49 years onwards [45]. On the other hand, Mesta et al reported that an age older than 60 years was associated with death in patients hospitalized for COVID-19 in Mexico, which agrees with our results that lethality was concentrated in the age range of 60 years or older and in the male sex [46]. Immune senescence, characterized by progressive lymphopenia with CD4 + T cell depletion and decreased regulatory T cell function in aging, could be a factor that makes older individuals more sensitive to severe COVID-19 [33].…”

Section: Sex and Age As Risk Markerssupporting

confidence: 93%

“…Overall, our results are in agreement with previous studies in the Mexican population, which reported older age, male sex, hypertension, diabetes, and CKD as risk factors for death and severity in patients with COVID-19 [4,8,45,46,48,52,53,[61][62][63]. This is of utmost relevance, given that 76% of the Mexican population over 20 years of age is overweight or obese, and the prevalence of obesity increased by 42%, particularly in persons over 50 years of age [64].…”

Section: Comorbidities As Risk Markerssupporting

confidence: 92%

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Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach

et al. 2023

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Background Mexico ranks fifth worldwide in the number of deaths due to COVID-19. Identifying risk markers through easily accessible clinical data could help in the initial triage of COVID-19 patients and anticipate a fatal outcome, especially in the most socioeconomically disadvantaged regions. This study aims to identify markers that increase lethality risk in patients diagnosed with COVID-19, based on machine learning (ML) methods. Markers were differentiated by sex and age-group. Methods A total of 11,564 cases of COVID-19 in Mexico were extracted from the Epidemiological Surveillance System for Viral Respiratory Disease. Four ML classification methods were trained to predict lethality, and an interpretability approach was used to identify those markers. Results Models based on Extreme Gradient Boosting (XGBoost) yielded the best performance in a test set. This model achieved a sensitivity of 0.91, a specificity of 0.69, a positive predictive value of 0.344, and a negative predictive value of 0.965. For female patients, the leading markers are diabetes and arthralgia. For males, the main markers are chronic kidney disease (CKD) and chest pain. Dyspnea, hypertension, and polypnea increased the risk of death in both sexes. Conclusions ML-based models using an interpretability approach successfully identified risk markers for lethality by sex and age. Our results indicate that age is the strongest demographic factor for a fatal outcome, while all other markers were consistent with previous clinical trials conducted in a Mexican population. The markers identified here could be used as an initial triage, especially in geographic areas with limited resources.

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Section: Discussionsupporting

confidence: 93%

Section: Sex and Age As Risk Markerssupporting

confidence: 93%

Section: Comorbidities As Risk Markerssupporting

confidence: 92%

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Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach

et al. 2023

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“…In previous reports made worldwide, males had been reported as the gender at higher risk for this disease. 7,9,10 This could be explained by the entry receptors that SARS-CoV-2 uses to get into cells, such as ACE2 and TMPRRS2.…”

Section: Discussionmentioning

confidence: 99%

“…6 In Mexico the mainly comorbidities that have been described as associated with worst disease progression and death are male gender, age older than 60 years, and cardiometabolic comorbidities. 7 The aim of the present work was to describe the characteristics and clinics and anthropometrics of COVID-19 patients.…”

Section: Introductionmentioning

confidence: 99%

Complicidad del fenotipo clínico preexistente con el resultado de muerte en los pacientes de COVID-19

Martínez-Gómez¹,

Herrera-López²,

Martínez-Armenta³

et al. 2022

Investigación en Discapacidad

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Introduction:The Coronavirus Disease (COVID-19) has been a public health problem worldwide for a considerable time. According to the COVID-19 dashboard at Johns Hopkins University (JHU), Mexico is in the fourteenth place of reported cases. Some studies have described some risk factors associated with having COVID-19. However, the risk to develop different COVID-19 outcomes is unclear. Objective: To describe the risk factors for develop different COVID-19 outcomes. Material and methods: We carried out a multicenter cross-sectional study, from June 2020 to March2021. A non-probabilistic sampling study design was used. For continuous variables Kruskal-Wallis test was carried out for comparing nonparametric distribution among studied groups. χ2 test was performed for the categorical variables. Univariated logistic analysis was performed to determine the associations of risk factors to COVID-19 outcomes. The analysis was performed using the STATA v.13 software. Results: We analyzed 713 patients and were classified as mild (N = 193, 27%); severe (N = 232, 32%); critical (N =169, 24%) and deceased (N = 119, 17%). Critical and deceased group had a highest percentage of males with 121 (72%) and 75 (63%) respectively. The main comorbidities were overweight (N = 221, 31%), obesity (N = 215, 30%) and type 2 diabetes (N = 208, 29%). Others comorbidities were smoking (17%), cardiopathies (3%), alcoholism (2%) neumopathies (1.6%) and nefropahties (1.5%). Conclusion: The main risk factors in deceased group were overweight and type 2 diabetes.

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Mask-Wearing Behavior Analysis by Using Expert Knowledge Acquisition Approach Under Covid-19 Situation

Chen

Tseng

2022

Innovative Mobile and Internet Services in Ubiquitous Computing

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Predictors Of Mortality In Hospitalized COVID-19 Patients: A Mexican Population-Based Cohort Study.

Cited by 10 publications

References 19 publications

Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach

Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach

Complicidad del fenotipo clínico preexistente con el resultado de muerte en los pacientes de COVID-19

Mask-Wearing Behavior Analysis by Using Expert Knowledge Acquisition Approach Under Covid-19 Situation

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