Impact on Fatality Rates and Years of Life Lost During the COVID-19 Pandemic: The Experience of the Mexican Public Health Incident Management Command.

BACKGROUND: The SARS-CoV-2 pandemic challenged health systems worldwide. In Mexico, the Public Health Incident Management Command (COISS) strategy was implemented to improve health care for patients with COVID-19 who required hospitalization. AIM: To evaluate the impact of the COISS strategy on case fatality rates (CFR) and years of life lost (YLL) in hospitalized patients with COVID-19. MATERIALS AND METHODS: The COISS strategy included eight actions implemented in states with high epidemic risk (COISS states). A secondary analysis of the public database from the Mexican Ministry of Health was performed considering patients with confirmed diagnoses of SARS-CoV-2 infection. The COISS strategy effectiveness was evaluated by its impact on in-hospital CFR and YLL at the beginning (T0) and end (T1) of the third wave, and at the end of the fourth wave (T2) and compared to states without intervention (non-COISS states). RESULTS: At T0, COISS states showed a higher CFR for hospitalized patients than non-COISS states, which decreased after the strategy implementation. After correction for baseline conditions, lower relative CFR at T1 and T2, compared to T0, and a protective effect in different age groups, especially in those ≥65 years, were found in hospitalized patients in COISS states. The COISS strategy was associated with lower CFR in hospitalized patients with COVID-19 at both T1 and T2. At T0, YLLs were higher in COISS states, but there were no significant differences at T1 and T2. CONCLUSIONS: COISS interventions effectively reduced CFR in hospitalized patients with COVID-19, providing protection to vulnerable patients and reducing the YLL gap.

Outbreak of Fusarium solani Meningitis in Immunocompetent Persons Associated With Neuraxial Blockade in Durango, Mexico, 2022-2023.

Background: Fungal meningitis can be associated with epidural anesthesia procedures. Fusariosis is a rare infection typically affecting immunocompromised patients and rarely causes meningitis. During 2022-2023, public health officials responded to a large outbreak of Fusarium solani meningitis associated with epidural anesthesia in Durango, Mexico. Methods: The public health response and epidemiological and clinical features of patients affected by this outbreak were described. Coordinated actions were addressed to identify the etiological agent, determine its drug susceptibility, develop diagnostic tests, and implement clinical and epidemiological protocols. Retrospective analyses of clinical variables and outcomes were performed to determine association with better patient survival. Results: A total of 1801 persons exposed to epidural anesthesia were identified, of whom 80 developed meningitis. Fusarium solani was found in 3 brain biopsies and showed susceptibility to voriconazole and amphotericin B. After F solani polymerase chain reaction (PCR) implementation, 57 patients with meningitis were PCR-screened, and 31 (38.8%) had a positive result. Most patients were female (95%), and cesarean section was the most common surgical procedure (76.3%). The case fatality rate was 51.3% (41 patients) and the median hospitalization duration was 39.5 days (interquartile range, 18-86 days). Seventy-one patients (88.8%) received voriconazole/amphotericin B and 64 subjects (80%) additionally received steroids. Cox regression analysis showed an increased lethality risk in patients who received antifungal treatment after 5 days (hazard ratio, 2.1 [95% confidence interval, 1.01-4.48], P < .05). Conclusions: The F solani meningitis outbreak in Durango was an unprecedented medical challenge. Timely treatment and effective healthcare management were associated with better survival outcomes.

Protection of hybrid immunity against SARS-CoV-2 reinfection and severe COVID-19 during periods of Omicron variant predominance in Mexico.

Background: With the widespread transmission of the Omicron SARS-CoV-2 variant, reinfections have become increasingly common. Here, we explored the role of immunity, primary infection severity, and variant predominance in the risk of reinfection and severe COVID-19 during Omicron predominance in Mexico. Methods: We analyzed reinfections in Mexico in individuals with a primary infection separated by at least 90 days from reinfection using a national surveillance registry of SARS-CoV-2 cases from March 3rd, 2020, to August 13th, 2022. Immunity-generating events included primary infection, partial or complete vaccination, and booster vaccines. Reinfections were matched by age and sex with controls with primary SARS-CoV-2 infection and negative RT-PCR or antigen test at least 90 days after primary infection to explore reinfection and severe disease risk factors. We also compared the protective efficacy of heterologous and homologous vaccine boosters against reinfection. Results: We detected 231,202 SARS-CoV-2 reinfections in Mexico, most occurring in unvaccinated individuals (41.55%). Over 207,623 reinfections occurred during periods of Omicron (89.8%), BA.1 (36.74%), and BA.5 (33.67%) subvariant predominance and a case-fatality rate of 0.22%. Vaccination protected against reinfection, without significant influence of the order of immunity-generating events and provided >90% protection against severe reinfections. Heterologous booster schedules were associated with ~11% and ~ 54% lower risk for reinfection and reinfection-associated severe COVID-19, respectively, modified by time-elapsed since the last immunity-generating event, when compared against complete primary schedules. Conclusion: SARS-CoV-2 reinfections increased during Omicron predominance. Hybrid immunity provides protection against reinfection and associated severe COVID-19, with potential benefit from heterologous booster schedules.

Effectiveness of a nationwide COVID-19 vaccination program in Mexico against symptomatic COVID-19, hospitalizations, and death: a retrospective analysis of national surveillance data.

OBJECTIVES: Vaccination has been effective in ameliorating the impact of COVID-19. Here, we report vaccine effectiveness (VE) of the nationally available COVID-19 vaccines in Mexico. METHODS: Retrospective analysis of a COVID-19 surveillance system to assess the VE of the BNT162b2, messenger RNA (mRNA)-12732, Gam-COVID-Vac, Ad5-nCoV, Ad26.COV2.S, ChAdOx1, and CoronaVac vaccines against SARS-CoV-2 infection, COVID-19 hospitalization, and death in Mexico. The VE was estimated using time-varying Cox proportional hazard models in vaccinated and unvaccinated adults, adjusted for age, sex, and comorbidities. VE was also estimated for adults with diabetes, aged ≥60 years, and comparing the predominance of SARS-CoV-2 variants B.1.1.519 and B.1.617.2. RESULTS: We assessed 793,487 vaccinated and 4,792,338 unvaccinated adults between December 24, 2020 and September 27, 2021. The VE against SARS-CoV-2 infection was the highest for fully vaccinated individuals with mRNA-12732 (91.5%, 95% confidence interval [CI] 90.3-92.4) and Ad26.COV2.S (82.2%, 95% CI 81.4-82.9); for COVID-19 hospitalization, BNT162b2 (84.3%, 95% CI 83.6-84.9) and Gam-COVID-Vac (81.4% 95% CI 79.5-83.1), and for mortality, BNT162b2 (89.8%, 95% CI 89.2-90.2) and mRNA-12732 (93.5%, 95% CI 86.0-97.0). The VE decreased for all vaccines in adults aged ≥60 years, people with diabetes, and periods of Delta variant predominance. CONCLUSION: All the vaccines implemented in Mexico were effective against SARS-CoV-2 infection, COVID-19 hospitalization, and death. Mass vaccination with multiple vaccines is useful to maximize vaccination coverage.

[Interinstitutional Command Mexico: organizational decision-making in the face of COVID-19]. / Comando interinstitucional México: toma de decisiones organizacionales ante COVID-19.

Background: The third wave of COVID-19 in Mexico produced a high demand for hospital care, which is why it was created a multidisciplinary group to optimize decision-making: the Interinstitutional Command for the Health Sector (COISS, according to its initials in Spanish). So far, there is no scientific evidence of the COISS processes or their effect on the behavior of epidemiological indicators and the hospital care needs of the population in the context of COVID-19 in the entities involved. Objectives: To analyze the trend on epidemic risk indicators throughout the COISS group's management in the third wave of COVID-19 in Mexico. Material and methods: Mixed study: 1) non-systematic review of information from technical documents issued by COISS, 2) secondary analysis of open-access institutional databases through the description of healthcare needs of cases notified with COVID-19 symptoms, and an ecological analysis by each Mexican state on the behavior of hospital occupancy, RT-PCR positivity, and COVID-19 mortality in two-time points. Results: The COISS activity in identifying states with epidemic risk generated actions aimed at a reduction in hospital occupancy of beds, positivity by RT-PCR, and mortality from COVID-19. Conclusions: The decisions of the COISS group reduced the indicators of epidemic risk. Continuing the work of the COISS group is an urgent need. Conclusions: The decisions of the COISS group reduced the indicators of epidemic risk. Continuing the work of the COISS group is an urgent need.

Introducción: la tercera ola por COVID-19 en México provocó una alta demanda de atención hospitalaria, por lo cual se conformó un grupo multidisciplinario para optimizar la toma de decisiones sanitarias: Comando Interinstitucional del Sector Salud (COISS). Hasta el momento, no hay evidencia científica de los procesos del COISS ni de su efecto sobre el comportamiento de indicadores epidemiológicos y las necesidades de atención hospitalaria de la población bajo el contexto de COVID-19 en entidades federativas involucradas. Objetivos: analizar la tendencia de indicadores de riesgo epidémico durante la gestión del grupo COISS en la tercera ola por COVID-19 en México. Material y métodos: estudio mixto: 1) revisión no sistemática de documentos técnicos del COISS, 2) análisis secundario de bases de datos de libre acceso, mediante la descripción de necesidades de atención hospitalaria de los casos notificados con síntomas de la COVID-19 y un análisis ecológico por entidades federativas sobre el comportamiento de la ocupación hospitalaria, positividad y mortalidad por COVID-19 en dos cortes temporales. Resultados: la actividad del COISS en la identificación de entidades federativas de riesgo epidémico generó acciones encaminadas a una reducción en la ocupación hospitalaria de camas generales, positividad por RT-PCR y mortalidad por COVID-19. Conclusiones: las decisiones del grupo COISS disminuyeron los indicadores de riesgo epidémico. Continuar el trabajo del grupo COISS es una necesidad apremiante.