ABSTRACT
INTRODUCTION: Influenza epidemics are of higher risk at the extremes of life and in people with comorbidities. Effective vaccination prevents the occurrence of serious cases and decreases mortality. OBJECTIVE: To describe deaths from influenza with a history of timely vaccination, from the 2010 to the 2018 season in Mexico. METHOD: Cross-sectional, descriptive study where the Influenza Epidemiological Surveillance System database was used. RESULTS: From 2010 to 2018, 65 vaccinated individuals died from influenza, from which 55% of cases (n = 36) were due to type A (H1N1), 51% (n = 33) were females, median age was 57 years, 21 % (n = 14) did not meet the operational definition of influenza-like illness or severe acute respiratory infection, 83% (n = 54) had at least one comorbidity, with the most common being diabetes mellitus and hypertension (32% each); 55% (n = 36) of deaths received antiviral treatment and only 8% (n = 5) had no comorbidities and received treatment with oseltamivir. CONCLUSIONS: Deaths from influenza with timely vaccination represent a very low percentage of the totality. Vaccination against influenza has been a specific prevention strategy that decreases disease burden.
Subject(s)
Immunization/mortality , Influenza Vaccines/administration & dosage , Influenza, Human/mortality , Antiviral Agents/therapeutic use , Comorbidity , Cross-Sectional Studies , Female , Humans , Immunization/statistics & numerical data , Influenza A Virus, H1N1 Subtype , Influenza, Human/virology , Male , Mexico/epidemiology , Middle Aged , Population Surveillance , Time FactorsABSTRACT
INTRODUCTION: Influenza epidemics are of higher risk at the extremes of life and in people with comorbidities. Effective -vaccination prevents the occurrence of serious cases and decreases mortality. OBJECTIVE: To describe deaths from influenza with a history of timely vaccination, from the 2010 to the 2018 season in Mexico. METHOD: Cross-sectional, descriptive study where the Influenza Epidemiological Surveillance System database was used. RESULTS: From 2010 to 2018, 65 vaccinated individuals died from influenza, from which 55% of cases (n = 36) were due to type A (H1N1), 51% (n = 33) were females, median age was 57 years, 21 % (n = 14) did not meet the operational definition of influenza-like illness or severe acute respiratory infection, 83% (n = 54) had at least one comorbidity, with the most common being diabetes mellitus and hypertension (32% each); 55% (n = 36) of deaths received antiviral treatment and only 8% (n = 5) had no comorbidities and received treatment with oseltamivir. CONCLUSIONS: Deaths from influenza with timely vaccination represent a very low percentage of the totality. Vaccination against influenza has been a specific prevention strategy that decreases disease burden.
INTRODUCCIÓN: Las epidemias de influenza son de mayor riesgo en los extremos de la vida y en personas con comorbilidades. La vacunación efectiva previene la aparición de casos graves y disminuye la mortalidad. OBJETIVO: Describir las defunciones por influenza en México con antecedente de vacunación oportuna, de 2010 a 2018. MÉTODO: Estudio transversal descriptivo en el que se utilizó la base de datos del Sistema de Vigilancia Epidemiológica de Influenza. RESULTADOS: De 2010 a 2018 fallecieron por influenza 65 personas con vacunación, 55 % (n = 36) de las cuales por tipo A (H1N1), 51 % (n = 33) del sexo femenino, la mediana de edad fue de 57 años, 21 % (n = 14) no cumplía la definición operacional de enfermedad tipo influenza o infección respiratoria aguda grave, 83 % (n = 54) tenía al menos una comorbilidad; las comorbilidades más frecuentes fueron diabetes mellitus e hipertensión arterial (32 % cada una); 55 % (n = 36) recibió tratamiento antiviral y solo 8 % (n = 5) no presentaba comorbilidades y tenía tratamiento con oseltamivir. CONCLUSIONES: Las defunciones por influenza con vacunación oportuna representan un porcentaje muy bajo del total. La vacunación contra influenza ha sido una estrategia de prevención específica que disminuye la carga de la enfermedad.
Subject(s)
Influenza, Human/mortality , Antiviral Agents/therapeutic use , Comorbidity , Cross-Sectional Studies , Diabetes Mellitus/epidemiology , Female , Humans , Hypertension/epidemiology , Influenza A Virus, H1N1 Subtype , Influenza Vaccines/administration & dosage , Influenza, Human/drug therapy , Influenza, Human/epidemiology , Influenza, Human/prevention & control , Male , Mexico/epidemiology , Middle Aged , Oseltamivir/therapeutic use , Sex Distribution , Vaccination/mortalityABSTRACT
INTRODUCTION: Despite a growing body of scholarly research on the risks of severe COVID-19 associated with diabetes, hypertension and obesity, there is a need for estimating pooled risk estimates with adjustment for confounding effects. We conducted a systematic review and meta-analysis to estimate the pooled adjusted risk ratios of diabetes, hypertension and obesity on COVID-19 mortality. METHODS: We searched 16 literature databases for original studies published between 1 December 2019 and 31 December 2020. We used the adapted Newcastle-Ottawa Scale to assess the risk of bias. Pooled risk ratios were estimated based on the adjusted effect sizes. We applied random-effects meta-analysis to account for the uncertainty in residual heterogeneity. We used contour-funnel plots and Egger's test to assess possible publication bias. RESULTS: We reviewed 34 830 records identified in literature search, of which 145 original studies were included in the meta-analysis. Pooled adjusted risk ratios were 1.43 (95% CI 1.32 to 1.54), 1.19 (95% CI 1.09 to 1.30) and 1.39 (95% CI 1.27 to 1.52) for diabetes, hypertension and obesity (body mass index ≥30 kg/m2) on COVID-19 mortality, respectively. The pooled adjusted risk ratios appeared to be stronger in studies conducted before April 2020, Western Pacific Region, low- and middle-income countries, and countries with low Global Health Security Index scores, when compared with their counterparts. CONCLUSIONS: Diabetes, hypertension and obesity were associated with an increased risk of COVID-19 mortality independent of other known risk factors, particularly in low-resource settings. Addressing these chronic diseases could be important for global pandemic preparedness and mortality prevention. PROSPERO REGISTRATION NUMBER: CRD42021204371.
Subject(s)
COVID-19 , Diabetes Mellitus , Hypertension , Humans , Diabetes Mellitus/epidemiology , Hypertension/epidemiology , Obesity/epidemiology , Risk FactorsABSTRACT
Objective: We sought to determine the accuracy of the LOW-HARM score (Lymphopenia, Oxygen saturation, White blood cells, Hypertension, Age, Renal injury, and Myocardial injury) for predicting death from coronavirus disease 2019) COVID-19. Methods: We derived the score as a concatenated Fagan's nomogram for Bayes theorem using data from published cohorts of patients with COVID-19. We validated the score on 400 consecutive COVID-19 hospital admissions (200 deaths and 200 survivors) from 12 hospitals in Mexico. We determined the sensitivity, specificity, and predictive values of LOW-HARM for predicting hospital death. Results: LOW-HARM scores and their distributions were significantly lower in patients who were discharged compared to those who died during their hospitalization 5 (SD: 14) versus 70 (SD: 28). The overall area under the curve for the LOW-HARM score was 0.96, (95% confidence interval: 0.94-0.98). A cutoff > 65 points had a specificity of 97.5% and a positive predictive value of 96%. Conclusions: The LOW-HARM score measured at hospital admission is highly specific and clinically useful for predicting mortality in patients with COVID-19.
ABSTRACT
Worldwide, rotavirus infection has been a leading cause of severe diarrhea morbidity and mortality. Two rotavirus vaccines have been used in the National Immunization Program (NIP) in Mexico; two-dose Rotarix from 2006 to 2011 and three-dose RotaTeq since 2011. This study assessed coverage (receiving at least one dose or full dose series) in eligible infants, compliance (% completing dose series and % completing series on schedule) in eligible infants vaccinated with Rotarix (2010) versus RotaTeq (2012), using Mexican Social Security Institute data nationwide and by regions. In 2010, 80.7% received at least one dose of Rotarix, 75.6% received both doses and 57.0% received both doses on schedule. In 2012, 85.7% received at least one dose of RotaTeq, 61.0% received all three doses and 43.2% received all three doses on schedule. More eligible infants received all doses with Rotarix versus RotaTeq (p < 0.001). Among infants vaccinated with Rotarix versus RotaTeq, 93.7% versus 71.1% completed full series (p < 0.001), and 75.5% versus 70.9% completed full series on schedule (p = 0.105), respectively. The full series coverage and compliance decreased in all regions with RotaTeq compared with Rotarix. In conclusion, rotavirus vaccination has successfully reduced morbidity and mortality in children under 5 years in Mexico. This study found significant differences in full series coverage and compliance among infants and a higher proportion of completed scheduled at an earlier age in Mexico when comparing a two-dose vaccine in 2010 with a three-dose vaccine in 2012. Such differences might need to be taken into consideration to maximize NIP benefits, including early protection of the rotavirus vaccination program.
Subject(s)
Immunization Programs , Immunization Schedule , Rotavirus Infections/prevention & control , Rotavirus Vaccines/administration & dosage , Vaccination Coverage/statistics & numerical data , Cohort Studies , Cost-Benefit Analysis , Female , Humans , Infant , Male , Mexico , Patient Compliance , Rotavirus Vaccines/immunology , Vaccines, Attenuated/administration & dosage , Vaccines, Attenuated/immunologyABSTRACT
Introduction: Influenza epidemics are of higher risk at the extremes of life and in people with comorbidities. Effective vaccination prevents the occurrence of serious cases and decreases mortality. Objective: To describe deaths from influenza with a history of timely vaccination, from the 2010 to the 2018 season in Mexico. Method: Cross-sectional, descriptive study where the Influenza Epidemiological Surveillance System database was used. Results: From 2010 to 2018, 65 vaccinated individuals died from influenza, from which 55% of cases (n = 36) were due to type A (H1N1), 51% (n = 33) were females, median age was 57 years, 21 % (n = 14) did not meet the operational definition of influenza-like illness or severe acute respiratory infection, 83% (n = 54) had at least one comorbidity, with the most common being diabetes mellitus and hypertension (32% each); 55% (n = 36) of deaths received antiviral treatment and only 8% (n = 5) had no comorbidities and received treatment with oseltamivir. Conclusions: Deaths from influenza with timely vaccination represent a very low percentage of the totality. Vaccination against influenza has been a specific prevention strategy that decreases disease burden.