Microorganisms isolated in patients with post-cardiac surgery mediastinitis at a cardiology hospital of Mexico City.

INTRODUCTION: Mediastinitis after cardiovascular surgery gives rise to prolonged hospital stay and increased medical care costs, and is associated with high in-hospital mortality. OBJECTIVE: To describe the clinical characteristics of patients with post-surgical mediastinitis, including the isolated microorganisms, resistance profile, and in-hospital survival. METHODS: Cross-sectional study of patients with bacteriologically-confirmed post-surgical mediastinitis cared for at a cardiology hospital in Mexico City between January 2017 and March 2019. RESULTS: Fifty-eight cases of mediastinitis were included. Median age was 67 years. Most subjects were males who underwent myocardial revascularization. During in-hospital follow-up, all-cause and mediastinitis-related mortality were 27.6% and 20.7%, respectively. Staphylococcus aureus, Staphylococcus epidermidis and Escherichia coli were the most commonly isolated microorganisms. High resistance to methicillin was found in coagulase-negative staphylococci, as well as high expression of extended-spectrum beta-lactamases in Escherichia coli and Klebsiella pneumoniae strains. CONCLUSIONS: High mortality and significant antimicrobial resistance were found in patients with post-cardiac surgery mediastinitis.

INTRODUCCIÓN: La mediastinitis posterior a cirugía cardiovascular deriva en estancia hospitalaria prolongada e incremento de los costos de la atención médica, y se asocia a elevada letalidad hospitalaria. OBJETIVO: Describir las características clínicas de los pacientes con mediastinitis posquirúrgica, incluyendo los microorganismos aislados, perfil de resistencia y supervivencia hospitalaria. MÉTODOS: Estudio transversal de pacientes con mediastinitis posquirúrgica bacteriológicamente confirmada, atendidos en un hospital de cardiología de la Ciudad de México entre enero de 2017 y marzo de 2019. RESULTADOS: Se incluyeron 58 casos de mediastinitis. La mediana de edad fue de 67 años. La mayoría de los sujetos fueron varones sometidos a revascularización miocárdica. Durante el seguimiento hospitalario, la letalidad por todas las causas y la secundaria a la mediastinitis fueron de 27.6 y 20.7 %, respectivamente. Los microorganismos más frecuentemente aislados fueron Staphylococcus aureus, Staphylococcus epidermidis y Escherichia coli. Se encontró alta resistencia a meticilina en los estafilococos coagulasa negativos y alta expresión de betalactamasas de espectro extendido en cepas de Escherichia coli y Klebsiella pneumoniae. CONCLUSIONES: En los pacientes con mediastinitis posquirúrgica analizados se observó alta letalidad e importante resistencia antimicrobiana.

Comparative epidemiology of five waves of COVID-19 in Mexico, March 2020-August 2022.

BACKGROUND: The Mexican Institute of Social Security (IMSS) is the largest health care provider in Mexico, covering about 48% of the Mexican population. In this report, we describe the epidemiological patterns related to confirmed cases, hospitalizations, intubations, and in-hospital mortality due to COVID-19 and associated factors, during five epidemic waves recorded in the IMSS surveillance system. METHODS: We analyzed COVID-19 laboratory-confirmed cases from the Online Epidemiological Surveillance System (SINOLAVE) from March 29th, 2020, to August 27th, 2022. We constructed weekly epidemic curves describing temporal patterns of confirmed cases and hospitalizations by age, gender, and wave. We also estimated hospitalization, intubation, and hospital case fatality rates. The mean days of in-hospital stay and hospital admission delay were calculated across five pandemic waves. Logistic regression models were employed to assess the association between demographic factors, comorbidities, wave, and vaccination and the risk of severe disease and in-hospital death. RESULTS: A total of 3,396,375 laboratory-confirmed COVID-19 cases were recorded across the five waves. The introduction of rapid antigen testing at the end of 2020 increased detection and modified epidemiological estimates. Overall, 11% (95% CI 10.9, 11.1) of confirmed cases were hospitalized, 20.6% (95% CI 20.5, 20.7) of the hospitalized cases were intubated, and the hospital case fatality rate was 45.1% (95% CI 44.9, 45.3). The mean in-hospital stay was 9.11 days, and patients were admitted on average 5.07 days after symptoms onset. The most recent waves dominated by the Omicron variant had the highest incidence. Hospitalization, intubation, and mean hospitalization days decreased during subsequent waves. The in-hospital case fatality rate fluctuated across waves, reaching its highest value during the second wave in winter 2020. A notable decrease in hospitalization was observed primarily among individuals ≥ 60 years. The risk of severe disease and death was positively associated with comorbidities, age, and male gender; and declined with later waves and vaccination status. CONCLUSION: During the five pandemic waves, we observed an increase in the number of cases and a reduction in severity metrics. During the first three waves, the high in-hospital fatality rate was associated with hospitalization practices for critical patients with comorbidities.

Survival rates and worker compensation expenses in a national cohort of Mexican workers with permanent occupational disability caused by diabetes.

BACKGROUND: Permanent occupational disability is one of the most severe consequences of diabetes that impedes the performance of usual working activities among economically active individuals. Survival rates and worker compensation expenses have not previously been examined among Mexican workers. We aimed to describe the worker compensation expenses derived from pension payments and also to examine the survival rates and characteristics associated with all-cause mortality, in a cohort of 34,014 Mexican workers with permanent occupational disability caused by diabetes during the years 2000-2013 at the Mexican Institute of Social Security. METHODS: A cross-sectional analysis study was conducted using national administrative records data from the entire country, regarding permanent occupational disability medical certification, pension payment and vital status. Survival rates were estimated using the Kaplan-Meier method. Multivariate Cox proportional hazard model was used to estimate adjusted hazard ratios (HR) and 95 % confidence intervals (95 % CI) in order to assess the cohort characteristics and all-cause mortality risk. Total expenses derived from pension payments for the period were accounted for in U.S. dollars (USD, 2013). RESULTS: There were 12,917 deaths in 142,725.1 person-years. Median survival time was 7.26 years. After multivariate adjusted analysis, males (HR, 1.39; 95 % CI, 1.29-1.50), agricultural, forestry, and fishery workers (HR, 1.41; 95 % CI, 1.15-1.73) and renal complications (HR, 3.49; 95 % CI, 3.18-3.83) had the highest association with all-cause mortality. The all-period expenses derived from pension payments amounted to $777.78 million USD (2013), and showed a sustained increment: from $58.28 million USD in 2000 to $111.62 million USD in 2013 (percentage increase of 91.5 %). CONCLUSIONS: Mexican workers with permanent occupational disability caused by diabetes had a median survival of 7.26 years, and those with renal complications showed the lowest survival in the cohort. Expenses derived from pension payments amounted to $ 777 million USD and showed an important increase from 2000 to 2013.

SARS-CoV-2 infection by trimester of pregnancy and adverse perinatal outcomes: a Mexican retrospective cohort study.

OBJECTIVE: Conflicting evidence for the association between COVID-19 and adverse perinatal outcomes exists. This study examined the associations between maternal COVID-19 during pregnancy and adverse perinatal outcomes including preterm birth (PTB), low birth weight (LBW), small-for-gestational age (SGA), large-for-gestational age (LGA) and fetal death; as well as whether the associations differ by trimester of infection. DESIGN AND SETTING: The study used a retrospective Mexican birth cohort from the Instituto Mexicano del Seguro Social (IMSS), Mexico, between January 2020 and November 2021. PARTICIPANTS: We used the social security administrative dataset from IMSS that had COVID-19 information and linked it with the IMSS routine hospitalisation dataset, to identify deliveries in the study period with a test for SARS-CoV-2 during pregnancy. OUTCOME MEASURES: PTB, LBW, SGA, LGA and fetal death. We used targeted maximum likelihood estimators, to quantify associations (risk ratio, RR) and CIs. We fit models for the overall COVID-19 sample, and separately for those with mild or severe disease, and by trimester of infection. Additionally, we investigated potential bias induced by missing non-tested pregnancies. RESULTS: The overall sample comprised 17 340 singleton pregnancies, of which 30% tested positive. We found that those with mild COVID-19 had an RR of 0.89 (95% CI 0.80 to 0.99) for PTB and those with severe COVID-19 had an RR of 1.53 (95% CI 1.07 to 2.19) for LGA. COVID-19 in the first trimester was associated with fetal death, RR=2.36 (95% CI 1.04, 5.36). Results also demonstrate that missing non-tested pregnancies might induce bias in the associations. CONCLUSIONS: In the overall sample, there was no evidence of an association between COVID-19 and adverse perinatal outcomes. However, the findings suggest that severe COVID-19 may increase the risk of some perinatal outcomes, with the first trimester potentially being a high-risk period.

Estimating the effect of realistic improvements of metformin adherence on COVID-19 mortality using targeted machine learning.

Background: Type 2 diabetes elevates the risk of severe outcomes in COVID-19 patients, with multiple studies reporting higher case fatality rates. Metformin is a widely used medication for glycemic management. We hypothesize that improved adherence to metformin may lower COVID-19 post-infection mortality risk in this group. Utilizing data from the Mexican Social Security Institute (IMSS), we investigate the relationship between metformin adherence and mortality following COVID-19 infection in patients with chronic metformin prescriptions. Methods: This is a retrospective cohort study consisting of 61,180 IMSS beneficiaries who received a positive polymerase chain reaction (PCR) or rapid test for SARS-CoV-2 and had at least two consecutive months of metformin prescriptions prior to the positive test. The hypothetical intervention is improved adherence to metformin, measured by proportion of days covered (PDC), with the comparison being the observed metformin adherence values. The primary outcome is all-cause mortality following COVID-19 infection. We defined the causal parameter using shift intervention, an example of modified treatment policies. We used the targeted learning framework for estimation of the target estimand. Findings: Among COVID-19 positive patients with chronic metformin prescriptions, we found that a 5% and 10% absolute increase in metformin adherence is associated with a respective 0.26% (95% CI: -0.28%, 0.79%) and 1.26% (95% CI: 0.72%, 1.80%) absolute decrease in mortality risk. Interpretation: Subject to the limitations of a real-world data study, our results indicate a causal association between improved metformin adherence and reduced COVID-19 post-infection mortality risk.

Strengthening Essential Health Services Recovery Policy after the COVID-19 Pandemic. Evidence from the Mexican Institute of Social Security.

AIM: To evaluate the progress of the Mexican Institute of Social Security Recovery Policy (IMSS-RP) in addressing the decline in essential health services caused by the COVID-19 pandemic. METHODS: We analyzed eleven indicators of essential health services from 35 IMSS state delegations. The assessment included ambulatory and hospital care indicators such as breast and cervical cancer screening, family medicine, dental and specialty visits, diabetes and hypertension visits and health outcomes, deliveries, and elective surgeries. We analyzed the period before (January 2018-March 2021) and during (April 2021-June 2023) the implementation of the IMSS-RP. Statistical analysis to determine the association of the policy with service indicators and the change in their trends included an interrupted time series analysis and Poisson Generalized Estimating Equation models. RESULTS: The volume of services showed substantial declines during the first year of the COVID-19 pandemic, reaching between 11 and 81% of pre-pandemic levels. All services increased significantly during the first 27 months of the IMSS-RP implementation; specialty visits, cervical and breast cancer screening, and diabetes control exceeded pre-pandemic levels (103%,112%,103%, and 138%, respectively). However, only deliveries and the percentage of patients with controlled diabetes and hypertension showed a stable increase following the IMSS-RP implementation, whereas the remaining services showed an initial increase but began to decrease over time. CONCLUSIONS: After 27 months of implementation, IMSS-RP achieved progress in increasing the volume of essential health services and improving chronic disease control. However, declining trends in several services signal the need to focalize the policy.

SOD2 gene Val16Ala polymorphism is associated with macroalbuminuria in Mexican type 2 diabetes patients: a comparative study and meta-analysis.

BACKGROUND: Several studies in type 2 diabetes patients have shown significant associations between the SOD2 gene Val16Ala polymorphism and albuminuria, but this association has not been explored in the Mexican population. METHODS: We evaluated the association between the SOD2 gene Val16Ala polymorphism (rs4880) and macroalbuminuria in a sample of 994 unrelated Mexican type 2 diabetes patients. The study included 119 subjects with urinary albumin >300 mg/dL and 875 subjects with urinary albumin ≤ 30 mg/dL. Genotyping of the SOD2 gene Val16Ala SNP was carried out with Real-Time Polymerase Chain Reaction (RT-PCR). RESULTS: The frequency of the TT genotype was 6.7% higher in participants with macroalbuminuria than in the normoalbuminuria group (16.8% vs. 10.1%). Using a logistic regression analysis, we observed that individuals with the CC genotype had significantly lower risks of macroalbuminuria than those with the TT genotype (OR=0.42, p=0.034). We carried out a meta-analysis combining our data with data from four previous studies and estimated an odds ratio (95% CI) for the C allele (with respect to the reference T allele) of 0.65 (0.52-0.80, p<0.001). CONCLUSIONS: A significant association was found between the SOD2 Val16Ala polymorphism and macroalbuminuria in a sample of Mexican type 2 diabetes patients.

Evolution of differences in clinical presentation across epidemic waves among patients with COVID-like-symptoms who received care at the Mexican Social Security Institute.

Background: Timely monitoring of SARS-CoV-2 variants is crucial to effectively managing both prevention and treatment efforts. In this paper, we aim to describe demographic and clinical patterns of individuals with COVID-19-like symptoms during the first three epidemic waves in Mexico to identify changes in those patterns that may reflect differences determined by virus variants. Methods: We conducted a descriptive analysis of a large database containing records for all individuals who sought care at the Mexican Social Security Institute (IMSS) due to COVID-19-like symptoms from March 2020 to October 2021 (4.48 million records). We described the clinical and demographic profile of individuals tested (3.38 million, 32% with PCR and 68% with rapid test) by test result (positives and negatives) and untested, and among those tested, and the changes in those profiles across the first three epidemic waves. Results: Individuals with COVID-19-like symptoms were older in the first wave and younger in the third one (the mean age for those positive was 46.6 in the first wave and 36.1 in the third wave; for negatives and not-tested, the mean age was 41 and 38.5 in the first wave and 34.3 and 33.5 in the third wave). As the pandemic progressed, an increasing number of individuals sought care for suspected COVID-19. The positivity rate decreased over time but remained well over the recommended 5%. The pattern of presenting symptoms changed over time, with some of those symptoms decreasing over time (dyspnea 40.6 to 14.0%, cough 80.4 to 76.2%, fever 77.5 to 65.2%, headache 80.3 to 78.5%), and some increasing (odynophagia 48.7 to 58.5%, rhinorrhea 28.6 to 47.5%, anosmia 11.8 to 23.2%, dysgeusia 11.2 to 23.2%). Conclusion: During epidemic surges, the general consensus was that any individual presenting with respiratory symptoms was a suspected COVID-19 case. However, symptoms and signs are dynamic, with clinical patterns changing not only with the evolution of the virus but also with demographic changes in the affected population. A better understanding of these changing patterns is needed to improve preparedness for future surges and pandemics.

How predictive of SARS-CoV-2 infection are clinical characteristics at presentation among individuals with COVID-like symptoms treated at the Mexican Institute of Social Security.

BACKGROUND: The COVID-19 pandemic has progressed rapidly, with the emergence of new virus variants that pose challenges in treating infected individuals. In Mexico, four epidemic waves have been recorded with varying disease severity. To understand the heterogeneity in clinical presentation over time and the sensitivity and specificity of signs and symptoms in identifying COVID-19 cases, an analysis of the changes in the clinical presentation of the disease was conducted. AIM: To analyze the changes in the clinical presentation of COVID-19 among 3.38 million individuals tested for SARS-CoV-2 at the Mexican Social Security Institute (IMSS) from March 2020 to October 2021 and evaluate the predictivity of signs and symptoms in identifying COVID-19 cases. METHODS: A retrospective analysis of clinical presentation patterns of COVID-19 among individuals treated at IMSS was performed, contrasting the signs and symptoms among SARS-CoV-2-positive individuals with those who tested negative for the virus but had respiratory infection symptoms. The sensitivity and specificity of each sign and symptom in identifying SARS-CoV-2 infection were estimated. RESULTS: The set of signs and symptoms reported for COVID-19-suspected patients treated at IMSS were not highly specific for SARS-CoV-2 positivity. The signs and symptoms exhibited variability based on age and epidemic wave. The area under the receiver operating characteristic (ROC) curve was 0.62 when grouping the five main symptoms (headache, dyspnea, fever, arthralgia, and cough). Most of the individual symptoms had ROC values close to 0.5 (16 out of 22 between 0.48 and 0.52), indicating non-specificity. CONCLUSIONS: The results highlight the difficulty in making a clinical diagnosis of COVID-19 due to the lack of specificity of signs and symptoms. The variability of clinical presentation over time and among age groups highlights the need for further research to differentiate whether the changes are due to changes in the virus, who is becoming infected, or the population, particularly with respect to prior infection and vaccination status.

Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of patients with COVID-19 over time: a large population-based cohort study in Mexico.

OBJECTIVE: COVID-19 would kill fewer people if health programmes can predict who is at higher risk of mortality because resources can be targeted to protect those people from infection. We predict mortality in a very large population in Mexico with machine learning using demographic variables and pre-existing conditions. DESIGN: Cohort study. SETTING: March 2020 to November 2021 in Mexico, nationally represented. PARTICIPANTS: 1.4 million laboratory-confirmed patients with COVID-19 in Mexico at or over 20 years of age. PRIMARY AND SECONDARY OUTCOME MEASURES: Analysis is performed on data from March 2020 to November 2021 and over three phases: (1) from March to October in 2020, (2) from November 2020 to March 2021 and (3) from April to November 2021. We predict mortality using an ensemble machine learning method, super learner, and independently estimate the adjusted mortality relative risk of each pre-existing condition using targeted maximum likelihood estimation. RESULTS: Super learner fit has a high predictive performance (C-statistic: 0.907), where age is the most predictive factor for mortality. After adjusting for demographic factors, renal disease, hypertension, diabetes and obesity are the most impactful pre-existing conditions. Phase analysis shows that the adjusted mortality risk decreased over time while relative risk increased for each pre-existing condition. CONCLUSIONS: While age is the most important predictor of mortality, younger individuals with hypertension, diabetes and obesity are at comparable mortality risk as individuals who are 20 years older without any of the three conditions. Our model can be continuously updated to identify individuals who should most be protected against infection as the pandemic evolves.

[Procalcitonin as sepsis predictor in cardiovascular surgery with cardiopulmonary bypass]. / Procalcitonina como predictor de sepsis en cirugía cardiovascular con circulación extracorpórea.

Background: Cardiopulmonary bypass generates an exacerbated response that may lead to sepsis. Objective: To describe the association between procalcitonin levels and sepsis diagnosis in cardiovascular surgery subjects with cardiopulmonary bypass. Methods: A case-series study was conducted in 142 patients. Serum procalcitonin levels were measured at 24 hours and at 72 hours after surgery using a point of care testing based on quantitative immunochromatographic method. To assess association between procalcitonin levels and sepsis status, we calculated area under the curve (AUC) and sensitivity, specificity, and predictive values for the best cut-off point. Results: From 142 patients studied, 7 developed sepsis after surgery (4.9%). For 24-hours procalcitonin levels AUC was 0.921 and best cut-off point was 3.8 ng/mL (sensitivity 0.857 and specificity 0.904). In the case of 72-hours procalcitonin levels, we observed a value of 0.868 for AUC and best cut-off point was 8.4 ng/mL (sensitivity 0.86 and specificity 0.97). Conclusions: Procalcitonin levels at 24 and 72 hours after cardiovascular surgery with cardiopulmonary bypass are associated with sepsis presence at cut-off points of 3.8 and 8.4 ng/mL respectively.

Introducción: la circulación extracorpórea durante la cirugía cardiovascular genera una respuesta exacerbada que puede asociarse con sepsis. Objetivo: describir la asociación entre los niveles de procalcitonina y el diagnóstico de sepsis en sujetos de cirugía cardiovascular con circulación extracorpórea. Material y métodos: se realizó un estudio de serie de casos en 142 pacientes. Los niveles de procalcitonina fueron medidos a las 24 horas y a las 72 horas después de la cirugía. Para evaluar la asociación entre los niveles de procalcitonina y la identificación de sepsis, se calculó el área bajo la curva (AUC) y la sensibilidad y especificidad identificando el mejor punto de corte. Resultados: de un total de 142 pacientes estudiados, 7 desarrollaron sepsis (4.9%). En los niveles de procalcitonina en las 24 horas, el AUC fue de 0.921 y el mejor punto de corte fue 3.8 ng/mL (sensibilidad de 0.857 y especificidad de 0.904). En el caso de los niveles de procalcitonina a las 72 horas, observamos un AUC de 0.868 y el mejor punto de corte fue 8.4 ng/mL (sensibilidad de 0.86 y especificidad de 0.97). Conclusiones: los niveles de procalcitonina a las 24 y 72 horas de la cirugía cardiovascular con circulación extracorpórea se asociaron con la presencia de sepsis con los puntos de corte de 3.8 ng/mL y 8.4 ng/mL respectivamente.

Telephonic Follow-up and the Risk of Death in Ambulatory Patients with COVID-19.

BACKGROUND: Primary care level close monitoring of mild COVID-19 patients has shown to provide a risk reduction in hospitalization and death. We aimed to compare the risk of all-cause death among COVID-19 ambulatory patients who received and did not receive telephonic follow-up in primary health care settings. METHODS: A secondary database analysis, 2-group comparative study, was conducted with data from the medical information systems of the Mexican Institute of Social Security. A total of 1,498,808 ambulatory patients aged 20 years old and over and with laboratory confirmed SARS-CoV-2 by PCR or rapid antigen test were analyzed. Of them, 535,898 (35.8%) where followed by telephonic calls. The cases were attended from October 14, 2020, to April 10, 2022. Death incidence was evaluated. To assess the association between death and telephonic follow-up we calculated risk ratio using a multivariate logistic model. RESULTS: Case fatality rate was 1.29% in the patients who received telephonic follow-up and 2.95% in the cases who did not receive phone calls. Medical history of chronic kidney disease, COPD, cardiovascular disease, tobacco consumption and diabetes were associated with increased risk of death. In the multivariate model, telephonic follow-up was associated with lower risk of all-cause death, with an adjusted risk ratio of 0.61 (95% confidence interval from 0.59, 0.64). CONCLUSION: Our data suggest that telephonic follow-up is associated with a risk of death reduction in adult outpatients with mild COVID-19, in the context of a multimodal strategy in the primary health care settings.

Genomic insights of Leclercia adecarboxylata strains linked to an outbreak in public hospitals in Mexico.

BACKGROUND: Leclercia adecarboxylata is a bacteria closely related to Escherichia coli according to its biochemical characteristics and is commonly considered non-pathogenic although a growing number of publications classify it as an emerging pathogen. Fosfomycin resistance is a common trait for L. adecarboxylata encoded by fosALA gene. OBJECTIVE: To analyze genomic traits of sixteen L. adecarboxylata strains isolated from blood culture and a bottle of total parenteral nutrition. METHODS: Twenty-eight L. adecarboxylata strains isolated from blood culture and a bottle of total parenteral nutrition were identified biochemically with a Vitek ® automated system. The strains were phenotyped by their growth on Eosin Methylene Blue agar or MacConkey agar plates. Additionally, Pulsed field gel electrophoresis (PFGE) was performed to establish the clonal relationship. The genomic DNA of sixteen strains was obtained using a Qubit ® dsDNA HS Assay Kit and sequenced on an Illumina ® MiSeq instrument. Draft genomes were assembled using PROKKA and Rast. Assemblies were submitted to Resfinder and PathogenFinder from the Center for Genomic Epidemiology in order to find resistance genes and pathogenic potential. IslandViewer4 was also used to find Pathogenicity and Phage Islands. For identification of the fosA gene, manual curation and Clustal analysis was performed. A novel FosA variant was identified. Finally, phylogenetic analysis was performed using VAMPhyRE software and Mega X. RESULTS: In this paper, we report the genomes of sixteen strains of Leclercia adecarboxylata causing an outbreak associated with parenteral nutrition in public hospitals in Mexico. The genomes were analyzed for genetic determinants of virulence and resistance. A high pathogenic potential (pathogenicity index 0.82) as well as multiple resistance genes including carbapenemics, colistin and efflux pumps were determined. Based on sequence analysis, a new variant of the fosALA gene was described. Finally, the outbreak was confirmed by establishing the clonal relationship among the sixteen genomes obtained. CONCLUSIONS: Commensal strains of L. adecarboxylata may acquire genetic determinants that provide mechanisms of host damage and go unnoticed in clinical diagnosis. L. adecarboxylata can evolve in a variety of ways including the acquisition of resistance and virulence genes representing a therapeutic challenge in patient care.

[Hospital outbreak of urinary tract infections by lubricant gel contaminated with Burkholderia cepacia]. / Infecciones urinarias nosocomiales. Contaminación de gel con Burkholderia cepacia.

BACKGROUND: Burkholderia cepacia (B. cepacia) has been the causal agent of infectious hospital outbreaks. METHODS: a case-controls study was conducted to describe an outbreak of urinary tract infection associated to lubricant-gel contaminated with B. cepacia. Patients who developed UTIsc were included in this study. Their clinical data, urine cultures, antiobiograms and the molecular bacterial analysis were analyzed. RESULTS: the urine culture was positive in 101 (55.8 %); the bacterial strains isolated were: B. cepacia 30.7 %, Escherichia coli 22.7 %, Enterococcus faecalis 9.9 %, Enterococcus spp. 8.9 %. They were 31 patients with B. cepacia isolation that was taken as the cases group and 63 with UTIsc due to another organism as control group. The Charlson comorbidity index was 5.3 ± 1.8 for cases and 4.5 ± 1.2 for controls. The factors associated with death were: heart disease, diabetes, pneumonia, bacteremia and UTIsc B. cepacia. CONCLUSIONS: the lubricant gel used for urinary catheter placement originated the outbreak. Heart disease, pneumonia, bacteremia and UTIsc B. cepacia were related to patients' death.

[Geographic analysis of diabetic nephropathy and renal insufficiency in the primary care, IMSS 2019]. / Análisis geográfico de nefropatía diabética e insuficiencia renal en el primer nivel de atención, IMSS 2019.

Background: In a context where the prevalence of Diabetes Mellitus and Hypertension has increased significantly in recent years, kidney diseases become important for the potential demand for specialized health care and resources required. Objective: To analyze the geographical distribution of Diabetic Nephropathy (DN) and Renal Insufficiency (RI) based on the medical consultations given in first-level units of IMSS during 2019, to identify the medical units with the highest burden of care. Material and methods: Ecological-exploratory study in which indicators were estimated for every thousand persons in relation to medical consultations given by ND and RI according to service time, first-level medical unit (UMF) and representation to analyze the magnitude and geographic distribution at the national level. Results: 45% of medical consultations were by ND and 52.4% by RI. The highest burden per DN was registered in UMF No. 50 Cd. Juarez (Chihuahua) and No. 49 Gabino Barreda (Veracruz Sur), with 1.7 first-time medical consultations and 148.3 subsequent medical consultations per 1,000 persons, respectively. While in UMF No. 40 Manlio Fabio Altamirano and No. 25 Cotaxtla, in Veracruz Norte, the highest burden was for RI, with 4.9 first-time medical consultations and 134.2 subsequent medical consultations per 1000 persons, respectively. Conclusions: The results could contribute to strengthening of medical units where it is necessary and the efficient allocation of resources available to meet the demand for health services of ND and RI in IMSS.

Introducción: en un contexto donde la prevalencia de diabetes mellitus e hipertensión arterial ha aumentado significativamente en años recientes, las enfermedades renales adquieren importancia por la potencial demanda de atención especializada y de recursos en salud que requieren. Objetivo: analizar la distribución geográfica de la nefropatía diabética (ND) y la insuficiencia renal (IR) con base en las consultas otorgadas en unidades de primer nivel del Instituto Mexicano del Seguro Social (IMSS) durante 2019, para identificar las unidades médicas con mayor carga de atención. Material y métodos: estudio ecológico-exploratorio en el que se estimaron indicadores por cada mil derechohabientes en relación a las consultas otorgadas por ND e IR según la ocasión de servicio, la unidad médica familiar (UMF) de primer nivel y la representación. Se utilizó estadística espacial para analizar dichos indicadores. Resultados: el 45% de las consultas otorgadas fue por ND y el 52.4% por IR. La mayor carga por ND se registró en la UMF No. 50 de Cd. Juárez (Chihuahua) y en la No. 49 Gabino Barreda (Veracruz Sur), con 1.7 consultas de primera vez y 148.3 subsecuentes por mil derechohabientes, respectivamente. Mientras que en la UMF No. 40 Manlio Fabio Altamirano y No. 25 Cotaxtla, en Veracruz Norte, la mayor carga fue por IR, con 4.9 consultas de primera vez y 134.2 subsecuentes por mil derechohabientes, respectivamente. Conclusiones: los resultados podrían contribuir al fortalecimiento de las unidades médicas que así lo requieran y en la distribución eficiente de los recursos disponibles para atender la demanda de servicios de salud de ND e IR en el IMSS.

[Systematization of a comprehensive intervention for strengthening the COVID-19 medical care]. / Sistematización de una intervención gerencial integral para fortalecer la atención médica por COVID-19.

The COVID-19 pandemic established a new challenge for health services in Mexico, which is why these services faced the challenge of responding to the affected people, by providing them services with opportunity, efficiency, effectiveness and safety. The Instituto Mexicano del Seguro Social (IMSS, Mexican Institute for Social Security) gave medical attention to the larger number of affected people: towards the end of September, 2022, 3,335,552 patients were registered, who represented 47% of the total (7,089,209) of confirmed COVID-19 cases since the beginning of the pandemic in 2020. Of all the cases treated, 295,065 (8.8%) required hospitalization. In addition of new scientific evidence and the implementation of best practices in medical care and directive management (with the general objective of improvement of the processes in hospital attention, even without an effective treatment at the time), we presented an evaluation, supervision method with a comprehensive (involving the three levels of health services) and analytic (structure, process, result and directive management components) approach. The achievement of specific goals and lines of action was established in a technical guideline with health policies for the COVID-19 medical care. These guidelines were instrumented with a standardized evaluation tool, a result dashboard and a risk assessment calculator, improving the quality of medical care and directive management by the multidisciplinary health team.

La pandemia por COVID-19 puso a prueba la prestación de servicios de los sistemas de salud en México, por lo que estos enfrentaron el reto de responder a la necesidad de las personas afectadas al otorgar servicios oportunos, eficientes, eficaces y seguros. El Instituto Mexicano del Seguro Social (IMSS) atendió el mayor número de personas afectadas: al cierre de septiembre del 2022, se registraron 3,335,552 pacientes atendidos, quienes representaron 47% del total (7,089,209) de casos confirmados desde el inicio de la pandemia en 2020. De los casos notificados por el IMSS, 295,065 (8.8%) requirieron hospitalización. Mediante un atento seguimiento de la evolución de la evidencia científica (que permitió identificar y adoptar las mejores prácticas de atención médica y gestión directiva para fortalecer los procesos sustantivos en la atención hospitalaria, aun sin un tratamiento eficaz), se integró un método de evaluación, supervisión y asesoría, con enfoque integral (que involucró los tres niveles de atención médica) y analítico (componentes de estructura, proceso, resultado y gestión directiva). Los objetivos de la atención y las líneas de acción se describieron en una guía técnica que estableció las políticas de atención médica al COVID-19. Asimismo, fue instrumentado con una cédula de evaluación estandarizada, un tablero de control de resultados y una herramienta de estratificación del riesgo. Con ello se mejoró la calidad de atención por medio de la participación del personal directivo y de equipos multidisciplinarios de salud, los cuales permitieron la toma de decisiones clínicas y gerenciales.

A Multimodal Strategy to Reduce the Risk of Hospitalization/death in Ambulatory Patients with COVID-19.

BACKGROUND: Different interventions have been implemented worldwide for the house-hold monitoring of patients with mild COVID-19 to reduce the burden of healthcare systems and guarantee quality of care. Telephone follow up and treatment kits have not been evaluated in the context of a national-wide primary care program. AIM OF THE STUDY: To compare the risk of hospitalization and death for COVID-19 between ambulatory patients who received and those who did not receive a treatment kit and telephone follow-up in a developing country METHODS: A two-group comparative analysis was conducted using data from the medical information systems of the Mexican Institute of Social Security. We included a total of 28,048 laboratory-confirmed SARS-CoV-2 patients: 7,898 (28.2%) received a medical kit and 20,150 (71.8%) did not. The incidence rates of hospitalization and death combined were calculated. To identify significant associations between hospitalization or death and treatment medical kits, we calculated the risk ratios using a multivariate logistic model. RESULTS: The incidence of hospitalization was 6.14% in patients who received a kit and 11.71% in those who did not. Male sex, age, and a medical history of obesity, hypertension, diabetes, immunosuppression, or kidney disease were associated with increased risk of hospitalization or death. The risk rates were reduced in patients who received a medical kit or telephone follow-up. In the multivariate model, receiving a medical kit was associated with a lower risk of hospitalization or death from COVID-19: adjusted risk ratio 0.41 (95% confidence interval 0.36-0.47). CONCLUSION: Use of a multimodal strategy may reduce the risk of hospitalization and death in adult outpatients with mild COVID-19.

Antimicrobial resistance and antibiotic consumption in a third level pediatric hospital in Mexico City.

INTRODUCTION: The increasing resistance to antibiotics is a public health problem and an imminent therapeutic challenge in hospitals. In this report we aimed to analyze the relationship between antimicrobial resistance and antibiotic consumption in a third-level pediatric hospital. METHODOLOGY: A cross-sectional analysis was conducted using the information from the microbiology and pharmacy databases of the Pediatric Hospital "Doctor Silvestre Frenk Freund", during the period 2015-2018. Prevalence of antimicrobial resistance by microorganisms and dispensed grams of selected antibiotics were calculated annually. Antibiotic resistance trend over the time was evaluated using the Chi-square trends test and to assess the correlation between the dispensed grams of antibiotics with their antimicrobial resistance prevalence, we calculated the Pearson's coefficient (r). RESULTS: A total of 4,327 isolated bacterial samples were analyzed (56.5% Gram-positive and 44.5% Gram-negative). Most frequently isolated microorganisms were coagulase-negative staphylococci (CoNS), E. coli, K. pneumoniae, P. aeruginosa and S. aureus. We found a significant increase in resistance to clindamycin and oxacillin for CoNS and significant decrease in nitrofurantoin and amikacin resistance for E. coli and K. pneumoniae. We observed a strong positive and statistically significant correlation between amikacin resistance prevalence and amikacin dispensed grams for P. aeruginosa (r = 0.95, p = 0.05). CONCLUSIONS: The antibiotic resistance profile showed by our study highlights the need of an appropriate antibiotic control use in the Hospital setting.

Hypertension, Diabetes and Obesity, Major Risk Factors for Death in Patients with COVID-19 in Mexico.

BACKGROUND: Mexico has reported high death and case fatality rates due to COVID-19. Several comorbidities have been related to mortality in COVID-19, as hypertension, diabetes, coronary heart disease, chronic obstructive lung disease and chronic kidney disease. AIMS: To describe the main clinical characteristics of COVID-19 in the major social security institution in Mexico, as well as the contribution of chronic comorbidities and the population attributable fraction related to them. METHODS: Data for all patients with a positive test for SARS-CoV-2 in the institutional database was included for analysis. Demographic information, the presence of pneumonia and whether the patient was hospitalized or treated at home as an outpatient as well as comorbidities were analyzed. Case fatality rate was estimated for different groups. Odds ratios with 95% confidence intervals from a logistic regression model were estimated, as well as the population attributable fraction. RESULTS: By November 13, 2020, 323,671 subjects with COVID-19 infection have been identified. Case fatality rate is higher in males (20.2%), than in females (13.0%), and increases with age. Case fatality rate increased with the presence of obesity, hypertension and/or diabetes. Age and sex were major independent risk factors for mortality, as well as the presence of pneumonia, diabetes, hypertension, obesity, immunosuppression, and end-stage kidney disease. The population attributable fraction due to obesity in outpatients was 16.8%. CONCLUSIONS: Major cardiovascular risk factors and other comorbidities increase the risk of dying in patients with COVID-19. Identification of populations with high fatality in COVID-19, provides insight to deal with this pandemic by health services in Mexico.