Encuesta Nacional de Salud y Nutrición 2018-19: metodología y perspectivas

Romero-Martínez, Martín; Shamah‐Levy, Teresa; Vielma-Orozco, Edgar; Heredia-Hernández, Octavio; Mojica-Cuevas, Jaime; Cuevas‐Nasú, Lucía; Rivera‐Dommarco, Juan

doi:10.21149/11095

Cited by 200 publications

(173 citation statements)

References 4 publications

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“…1,2 The factors that increase the risk of COVID-19-associated hospitalization are age older than 65 years (odds ratio [OR] = 6.06, 95 % confidence interval [CI] = 3.98-9.22), male gender (OR = 1.76, 95 % CI = 1.41-2.18, p < 0.00001), [3][4][5][6][7][8] systemic arterial hypertension (OR = 2.72, 95 % CI = 1.60-4.64, p = 0.0002), diabetes mellitus (OR = 3.68, 95 % CI = 2.68-5.03, p < 0.00001), cardiovascular diseases (OR = 5.19, 95 % CI = 3.25-8.29, p < 0.00001) and respiratory diseases (OR = 5.15, 95 % CI = 2.51-10.57, p < 0.00001); 9,10 obesity increases the probability of requiring admission to an intensive care unit (OR = 3.6, 95 CI % = 2.5-5.3, p < 0.0001) and of death (OR = 5.1, 95 % CI = 2.3-11.1, p < 0.001). 11,12 All these factors, which are common in Mexico, 13 have increased the demand for hospital care, which is why quick and inexpensive strategies are required to early classify patients at higher risk of death. There are biomarkers to predict COVID-19 severity.…”

Section: Introductionmentioning

confidence: 99%

Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality

Albarrán-Sánchez¹,

González-Ríos²,

Alberti‐Minutti³

et al. 2023

GMM

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Introduction: Neutrophil-to-lymphocyte (NLR) and lymphocyte-to-C-reactive protein (LCR) ratios are used to predict severity and mortality in various infections. Objective: To establish the best NLR and LCR cutoff point to predict mortality in patients hospitalized for COVID-19 in Mexico. Method: Analytical cross-sectional study of patients hospitalized for severe COVID-19 in a specialty hospital. Results: Out of 242 analyzed patients, 34 % died. The deceased subjects were older (62 vs. 51 years; p < 0.001), had a higher prevalence of > 10 years with systemic arterial hypertension (59.4 vs. 45.1 %, p = 0.022), as well as a higher NLR (17.66 vs. 8.31, p < 0.001) and lower LCR (0.03 vs. 0.06, p < 0.002) with regard to those who survived. The cutoff points to predict mortality were NLR > 12 and LCR < 0.03. The combination of NLR/LCR had a sensitivity of 80 %, specificity of 74 %, positive predictive value of 46.15 %, negative predictive value of 93.02 % and an odds ratio of 11.429 to predict mortality. Conclusion: NLR > 12 and LCR < 0.03 are useful biomarkers to evaluate the risk of mortality in Mexican patients with severe COVID-19.

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Section: Introductionmentioning

confidence: 99%

Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality

Albarrán-Sánchez¹,

González-Ríos²,

Alberti‐Minutti³

et al. 2023

GMM

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“…Según los objetivos de la investigación se plantean dos variables independientes: IMC y CC. Estas variables se obtuvieron mediante mediciones antropométricas de peso, altura y circunferencia de cintura que en la ENSANUT 2012 fueron obtenidas con equipos y técnicas estandarizadas y levantadas por personal capacitado (Romero-Martínez et al, 2013).…”

Section: Consideraciones éTicasunclassified

“…En el primer procedimiento, se estimaron los estadísticos descriptivos, en forma de distribuciones porcentuales para las variables categóricas (IC 95%) y para las variables continuas como la media (± desviación estándar) y valores mínimos y máximos. En este procedimiento se utilizaron los ponderadores poblacionales de la ENSANUT 2012 (Romero-Martínez et al, 2013). Paralelamente y para apoyar la inferencia sobre los estimadores se presentan las distribuciones de las variables sin ponderar y pruebas de significancia chi-cuadrada (χ2) para variables categóricas y t-Student para variables continuas, según corresponda.…”

Section: Análisis De Datosunclassified

Índice de masa corporal, circunferencia de cintura y diabetes en adultos del Estado de México

Keymolen

Linares

2020

RESPYN

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Introducción: la diabetes y la obesidad son importantes problemas de salud pública en el Estado de México. Objetivo: determinar la precisión diagnóstica y los puntos de corte óptimos del índice de masa corporal y de la circunferencia de cintura sobre la diabetes, así como conocer la asociación de ambos indicadores con la enfermedad según los puntos de corte definidos. Material y métodos: los datos son de la Encuesta Nacional de Salud y Nutrición 2012 para los adultos del Estado de México. Se analizaron 969 observaciones de adultos con datos completos en las variables de análisis. Se estimaron curvas ROC para determinar la precisión diagnóstica y el valor del punto de corte del índice de masa corporal y de la circunferencia de la cintura sobre la diabetes. Definidos los puntos de corte se estimaron regresiones logísticas para ambos indicadores ajustando por diversas variables. Resultados: se obtuvieron mayores valores de sensibilidad y especificidad para la circunferencia de la cintura: una circunferencia de cintura ≥94.950 en hombres y ≥91.050 en mujeres incrementa la propensión a diabetes entre 2.4 y 2.6 veces. Conclusiones: en la muestra analizada, la circunferencia de la cintura es mejor predictor de la diabetes que el índice de masa corporal.

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“…The importance of this study in Sinaloa lies in the large proportion of the population that suffers from chronic diseases, such as obesity, type 2 diabetes, and hypertension. In fact, Sinaloa is one of the 10 main states with obesity and diabetes cases in Mexico ( 5 ). The association among chronic diseases and COVID-19 severe infection is well-studied ( 6 ).…”

Section: Introductionmentioning

confidence: 99%

Analysis of Epidemiological and Clinical Characteristics of COVID-19 in Northwest Mexico and the Relationship Between the Influenza Vaccine and the Survival of Infected Patients

Angulo-Zamudio

Martínez-Villa

León-Sicairos

et al. 2021

Front. Public Health

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The first cases of unexplained pneumonia were reported in Wuhan, China, in December of 2019. Later, a novel coronavirus (SARS-CoV-2) was identified as the causal agent of pneumonia. This virus has since spread to more than 180 countries and has been declared a pandemic by the World Health Organization. Herein, we aimed to determine the epidemiological and clinical characteristics of symptomatic patients with coronavirus disease 2019 (COVID-19) and the relationship between the influenza vaccine with a lower risk of severe COVID-19 infection in the state of Sinaloa. We collected demographic and clinical data of 4,040 patients with acute respiratory infections across Sinaloa state hospitals from February 28 to May 15, 2020. The prevalence of COVID-19 among hospitalized patients with respiratory symptoms in Sinaloa showed 45.2% of men were more affected than women (p < 0.001), and people aged 40–49 years were the most affected. The main symptoms of COVID-19 infection were cough and fever (p < 0.001), while hypertension, obesity, and type 2 diabetes were the chronic diseases associated with COVID-19 than non-COVID-19 (p < 0.003). Healthcare workers were most likely to be infected compared to other occupations (p < 0.001). The general lethality rate was 14.1%, and males >62 years were the ones who had a higher lethality rate (p < 0.001); the aforementioned chronic diseases were related to higher lethality of COVID-19 (p < 0.001). Likewise, higher lethality was seen in housewives and patient retirees/pensioners compared with other occupations (p < 0.001). Finally, we found there was a relationship between influenza vaccination and a lower risk of severe COVID-19 infection and mortality (p < 0.001). These findings showed that healthcare workers, men >62 years with chronic diseases, and retired people were most affected. Furthermore, the influenza vaccine could decrease the severeness of COVID-19 cases.

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Encuesta Nacional de Salud y Nutrición 2018-19: metodología y perspectivas

Cited by 200 publications

References 4 publications

Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality

Association of neutrophil-to-lymphocyte and lymphocyte-to-C-reactive protein ratios with COVID-19-related mortality

Índice de masa corporal, circunferencia de cintura y diabetes en adultos del Estado de México

Analysis of Epidemiological and Clinical Characteristics of COVID-19 in Northwest Mexico and the Relationship Between the Influenza Vaccine and the Survival of Infected Patients

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