Functional lumen imaging probe use in a high-volume practice: Practical and technical implications.

BACKGROUND: The functional lumen imaging probe (FLIP) is a Food and Drug Administration approved tool to aid the diagnosis and management of esophageal disorders. However, widespread adoption of FLIP remains limited and its utility in high-volume practices remains unclear. AIM: To analyze large sample data on clinical use of FLIP and provide insight on several technical aspects when performing FLIP. METHODS: We conducted a retrospective comparative and descriptive analysis of FLIP procedures performed by a single provider at an academic medical center. There was a total of 398 FLIP procedures identified. Patient medical records were reviewed and data regarding demographics and procedural details were collected. Statistical tests, including chi-squared, t-test, and multivariable logistic and linear regression, were performed. RESULTS: There was an increase in FLIP cases with each successive time period of 13 months (n = 68, 146, 184, respectively) with notable rises specifically for indications of dysphagia and gastroesophageal reflux disease. There was a shift toward use of the longer FLIP balloon catheter for diagnostic purposes (overall 70.4% vs 29.6%, P < 0.01). Many cases (42.8%) were performed in conjunction with other diagnostics/interventions, such as dilation and wireless pH probe placement. Procedures were nearly equally performed with anesthesia vs moderate sedation (51.4% anesthesia), with no major complications. Patients who had anesthesia were less likely to have recurrent antegrade contractions [odds ratio (OR) = 0.4, 95%CI: 0.3-0.8] and were also more likely to have absent contractility (OR = 2.4, 95%CI: 1.3-4.4). CONCLUSION: FLIP cases have increased in our practice with expanding indications for its use. Given limited normative data, providers should be aware of several potential technical issues, including the possible impact of sedation choice when assessing esophageal motility patterns.

Diagnostic performance of sixteen biomarkers for MASLD: A study in a Mexican cohort.

BACKGROUND AND AIMS: Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) poses a heightened cardiovascular risk. Identifying efficient biomarkers for early MASLD detection in resource-limited Latin American regions is crucial. We aimed to evaluate the diagnostic efficacy of sixteen biomarkers for MASLD in Mexican individuals. METHODS: In this cross-sectional and analytical study, steatosis was assessed using vibration-controlled transient elastography. MASLD was defined according to international standards. Assessed biomarkers included: Visceral Fat (VF), Waist Circumference (WC), Waist-Height Ratio (WHtr), Waist-Hip Ratio (WHr), Visceral Adiposity Index (VAI), Hepatic Steatosis Index (HSI), Body Mass Index (BMI), Homeostatic Model Assessment (HOMA), Weight-Adjusted-Waist Index (WWI), Lipid Accumulation Product (LAP), Uric Acid-Creatinine Ratio (UACR), Triglyceride-Glucose Index (TyG) and its variants TyG-WC, TyG-HDL, TyG-BMI, TyG-WHtr. RESULTS: 161 participants were included, of which 122 met MASLD criteria (56 % women, age 53.9 years [47.5-64]) and 39 were healthy controls (76 % women, age 52 [45-64]). The AUROCs of the biomarkers for MASLD were: TyG-WC (0.84), LAP (0.84), TyG-BMI (0.82), TyG-WHtr (0.80), WC (0.78), TyG (0.77), WHtr (0.75), BMI (0.76), VF (0.75), HSI (0.75), TyG-HDL (0.75), WHr (0.72), VAI (0.73), UA/CR (0.70), HOMA (0.71), and WWI (0.69). Sex-based differences were observed. After adjusting for sociodemographic variables, the TyG-WC index was the best predictor of MASLD. CONCLUSIONS: In conclusion, our results underscore the potential of several noninvasive biomarkers for MASLD assessment in a Mexican population, highlighting variations in diagnostic efficacy and cut-off values between sexes. After adjusting, TyG-WC was the best MASLD predictor.

Prolonged release pirfenidone pharmacokinetics is modified in cirrhosis GENESIS study.

BACKGROUND: In both clinical and experimental trials, pirfenidone (PFD) showed anti-inflammatory and antifibrogenic effects. Considering the wide variation in hepatic functional reserve in patients with cirrhosis, we decided to learn more about the pharmacokinetics of a new formulation of prolonged release PFD in this population (PR-PFD), focusing on assessing changes on AUC0-∞, AUC0-t, and Cmax. METHODS: In this study, 24 subjects with cirrhosis were included: eight subjects with mild liver impairment (Child-Pugh A) and eight with moderate liver impairment (Child-Pugh B), and a third group of eight age-matched subjects without fibrosis. All participants were under fasting conditions before receiving orally two 600-mg tablets of a prolonged-release formulation of pirfenidone (PR-PFD) and remained in the clinical unit for 36 h after PR-PFD administration. Serial blood samples were collected after dosing (0.5-36 h). A validated high-performance liquid chromatography-mass spectrometry method was used to determine PFD plasma concentrations. RESULTS: The exposure to PR-PFD was 3.6- and 4.4-fold greater in subjects with Child-Pugh A and Child-Pugh B than in subjects without cirrhosis, and Cmax was 1.6- and 1.8-fold greater in subjects with Child-Pugh B and Child-Pugh-A than in patients without cirrhosis, without significant differences between the two cirrhotic groups. PFD was well tolerated. CONCLUSION: The pharmacokinetic parameters of PR-PFD are significantly modified in patients with cirrhosis compared with those in controls, indicating that liver impairment should be considered in clinical practice.

Genotyping, sequencing and analysis of 140,000 adults from Mexico City.

The Mexico City Prospective Study is a prospective cohort of more than 150,000 adults recruited two decades ago from the urban districts of Coyoacán and Iztapalapa in Mexico City1. Here we generated genotype and exome-sequencing data for all individuals and whole-genome sequencing data for 9,950 selected individuals. We describe high levels of relatedness and substantial heterogeneity in ancestry composition across individuals. Most sequenced individuals had admixed Indigenous American, European and African ancestry, with extensive admixture from Indigenous populations in central, southern and southeastern Mexico. Indigenous Mexican segments of the genome had lower levels of coding variation but an excess of homozygous loss-of-function variants compared with segments of African and European origin. We estimated ancestry-specific allele frequencies at 142 million genomic variants, with an effective sample size of 91,856 for Indigenous Mexican ancestry at exome variants, all available through a public browser. Using whole-genome sequencing, we developed an imputation reference panel that outperforms existing panels at common variants in individuals with high proportions of central, southern and southeastern Indigenous Mexican ancestry. Our work illustrates the value of genetic studies in diverse populations and provides foundational imputation and allele frequency resources for future genetic studies in Mexico and in the United States, where the Hispanic/Latino population is predominantly of Mexican descent.

Educational and social inequalities and cause-specific mortality in Mexico City: a prospective study.

BACKGROUND: Social inequalities in adult mortality have been reported across diverse populations, but there is no large-scale prospective evidence from Mexico. We aimed to quantify social, including educational, inequalities in mortality among adults in Mexico City. METHODS: The Mexico City Prospective Study recruited 150 000 adults aged 35 years and older from two districts of Mexico City between 1998 and 2004. Participants were followed up until Jan 1, 2021 for cause-specific mortality. Cox regression analysis yielded rate ratios (RRs) for death at ages 35-74 years associated with education and examined, in exploratory analyses, the mediating effects of lifestyle and related risk factors. FINDINGS: Among 143 478 participants aged 35-74 years, there was a strong inverse association of education with premature death. Compared with participants with tertiary education, after adjustment for age and sex, those with no education had about twice the mortality rate (RR 1·84; 95% CI 1·71-1·98), equivalent to approximately 6 years lower life expectancy, with an RR of 1·78 (1·67-1·90) among participants with incomplete primary, 1·62 (1·53-1·72) with complete primary, and 1·34 (1·25-1·42) with secondary education. Education was most strongly associated with death from renal disease and acute diabetic crises (RR 3·65; 95% CI 3·05-4·38 for no education vs tertiary education) and from infectious diseases (2·67; 2·00-3·56), but there was an apparent higher rate of death from all specific causes studied with lower education, with the exception of cancer for which there was little association. Lifestyle factors (ie, smoking, alcohol drinking, and leisure time physical activity) and related physiological correlates (ie, adiposity, diabetes, and blood pressure) accounted for about four-fifths of the association of education with premature mortality. INTERPRETATION: In this Mexican population there were marked educational inequalities in premature adult mortality, which appeared to largely be accounted for by lifestyle and related risk factors. Effective interventions to reduce these risk factors could reduce inequalities and have a major impact on premature mortality. FUNDING: Wellcome Trust, the Mexican Health Ministry, the National Council of Science and Technology for Mexico, Cancer Research UK, British Heart Foundation, and the UK Medical Research Council Population Health Research Unit.

Description of changes in clinical outcomes following the implementation of an antibiotic stewardship program in a level IV hospital / Descripción del cambio en desenlaces clínicos posteriores a la implementación de un programa de gestión de antibióticos en un hospital de cuarto nivel de atención en salud.

INTRODUCTION: Inadequate prescription of antibiotics has been recognized as a public health problem by the World Health Organization. In this context, antibiotic stewardship programs have been implemented as a tool to mitigate its impact. OBJETIVE: To describe the changes in clinical outcomes after the implementation of an antibiotic stewardship program in a level IV hospital. MATERIALS AND METHODS: We conducted a unique cohort study of patients hospitalized for infectious pathologies that were treated with antibiotics in an advanced medical facility. We collected the clinical history before the implementation of the antibiotic stewardship program (2013 to 2015) and then we compared it to the records from 2018 to 2019 collected after the implementation of the program. We evaluated changes in clinical outcomes such as overall mortality, and hospital stay, among others. RESULTS: We analyzed 1,066 patients: 266 from the preimplementation group and 800 from the post-implementation group. The average age was 59.2 years and 62% of the population was male. Statistically significant differences were found in overall mortality (29% vs 15%; p<0.001), mortality due to infectious causes (25% vs 9%; p<0.001), and average hospital stay (45 days vs 21 days; p<0.001); we also observed a tendency to decrease hospital readmission at 30 days for infectious causes (14% vs 10%; p=0.085). CONCLUSIONS: The antibiotic stewardship program implemented was associated with a decrease in overall mortality and mortality due to infectious causes, as well as in average hospital stay. Our results evidenced the importance of interventions aimed at mitigating the impact of inadequate prescription of antibiotics.

Introducción: La inadecuada prescripción de antibióticos es un problema de salud pública, reconocido por la Organización Mundial de la Salud. Los programas de gestión de antibióticos son implementados como una herramienta para mitigar su impacto. Objetivo: Describir los cambios observados en los desenlaces clínicos después de la implementación de un programa de gestión de antibióticos en un hospital de IV nivel de atención. Materiales y métodos. Se llevó a cabo un estudio de cohorte única de pacientes hospitalizados por patologías infecciosas y tratados con antibióticos en una institución médica de alta complejidad. Inicialmente, se recolectaron las historias clínicas anteriores a a la implementación del programa de gestión de antibióticos (2013 a 2015) y luego se compararon con los datos obtenidos después de la implementación del programa de gestión de antibióticos de 2018 a 2019. Se evaluaron los cambios en los desenlaces clínicos como mortalidad y estancia hospitalaria, entre otros. Materiales y métodos: Se llevó a cabo un estudio de cohorte única de pacientes hospitalizados por patologías infecciosas y tratados con antibióticos en una institución médica de alta complejidad. Inicialmente, se recolectaron las historias clínicas anteriores a a la implementación del programa de gestión de antibióticos (2013 a 2015) y luego se compararon con los datos obtenidos después de la implementación del programa de gestión de antibióticos de 2018 a 2019. Se evaluaron los cambios en los desenlaces clínicos como mortalidad y estancia hospitalaria, entre otros. Resultados: Se analizaron las historias clínicas de 1.066 pacientes: 266 con historia previa a la implementación del programa y 800 con historia posterior a la implementación. El promedio de edad fue 59,2 años y 62 % de la población era masculina. Se encontraron diferencias estadísticamente significativas en mortalidad global (29 Vs. 15 %; p<0,001), mortalidad por causa infecciosa (25 % Vs. 9 %; p<0,001) y promedio de estancia hospitalaria (45 Vs.21 días; p<0,001), con tendencia a disminuir nuevas hospitalizaciones en 30 días por patología infecciosa (14 Vs.10 %; p=0,085). Conclusiones: El desarrollo del programa de gestión de antibióticos se asoció con a una disminución en la mortalidad global, la mortalidad por causa infecciosa y la estancia hospitalaria. Esto demuestra la importancia de desarrollar intervenciones dirigidas a mitigar el impacto de la prescripción inadecuada de antibióticos.

Description of changes in clinical outcomes following the implementation of an antibiotic stewardship program in a level IV hospital / Descripción del cambio en desenlaces clínicos posteriores a la implementación de un programa de gestión de antibióticos en un hospital de cuarto nivel de atención en salud

Introduction. Inadequate prescription of antibiotics has been recognized as a public health problem by the World Health Organization. In this context, antibiotic stewardship programs have been implemented as a tool to mitigate its impact. Objective. To describe the changes in clinical outcomes after the implementation of an antibiotic stewardship program in a level IV hospital. Materials and methods. We conducted a unique cohort study of patients hospitalized for infectious pathologies that were treated with antibiotics in an advanced medical facility. We collected the clinical history before the implementation of the antibiotic stewardship program (2013 to 2015) and then we compared it to the records from 2018 to 2019 collected after the implementation of the program. We evaluated changes in clinical outcomes such as overall mortality, and hospital stay, among others. Results. We analyzed 1,066 patients: 266 from the preimplementation group and 800 from the post-implementation group. The average age was 59.2 years and 62% of the population was male. Statistically significant differences were found in overall mortality (29% vs 15%; p<0.001), mortality due to infectious causes (25% vs 9%; p<0.001), and average hospital stay (45 days vs 21 days; p<0.001); we also observed a tendency to decrease hospital re- admission at 30 days for infectious causes (14% vs 10%; p=0.085). Conclusions. The antibiotic stewardship program implemented was associated with a decrease in overall mortality and mortality due to infectious causes, as well as in average hospital stay. Our results evidenced the importance of interventions aimed at mitigating the impact of inadequate prescription of antibiotics.

Introducción. La inadecuada prescripción de antibióticos es un problema de salud pública, reconocido por la Organización Mundial de la Salud. Los programas de gestión de antibióticos son implementados como una herramienta para mitigar su impacto. Objetivo. Describir los cambios observados en los desenlaces clínicos después de la implementación de un programa de gestión de antibióticos en un hospital de IV nivel de atención. Materiales y métodos. Se llevó a cabo un estudio de cohorte única de pacientes hospitalizados por patologías infecciosas y tratados con antibióticos en una institución médica de alta complejidad. Inicialmente, se recolectaron las historias clínicas anteriores a la implementación del programa de gestión de antibióticos (2013 a 2015) y luego se compararon con los datos obtenidos después de la implementación del programa de gestión de antibióticos de 2018 a 2019. Se evaluaron los cambios en los desenlaces clínicos como mortalidad y estancia hospitalaria, entre otros. Resultados. Se analizaron las historias clínicas de 1.066 pacientes: 266 con historia previa a la implementación del programa y 800 con historia posterior a la implementación. El promedio de edad fue 59,2 años y 62 % de la población era masculina. Se encontraron diferencias estadísticamente significativas en mortalidad global (29 Vs. 15 %; p<0,001), mortalidad por causa infecciosa (25 % Vs. 9 %; p<0,001) y promedio de estancia hospitalaria (45 Vs.21 días; p<0,001), con tendencia a disminuir nuevas hospitalizaciones en 30 días por patología infecciosa (14 Vs.10 %; p=0,085). Conclusiones. El desarrollo del programa de gestión de antibióticos se asoció con a una disminución en la mortalidad global, la mortalidad por causa infecciosa y la estancia hospitalaria. Esto demuestra la importancia de desarrollar intervenciones dirigidas a mitigar el impacto de la prescripción inadecuada de antibióticos.

Report of two cases of high cervical injury: an adequate functional result with timely surgical management.

Introduction: Odontoid fractures correspond to 9-15% of cervical spine fractures. Atlas fracture is rare (3-13%)8. Case presentation: Male with Anderson and D´Alonzo Type II Odontoid fracture with unstable fragment treated with occipitocervical fixation with occipital plate, C2-C3 transfacet screws; Female with type E Jefferson fracture + anterolateral atloaxial dislocation, treated with occipitocervical fixation, C2-C3-C4 transfacet screws. Discussion: Anderson and D'Alonzo Type II fractures and Jefferson type E fractures are a surgical emergency due to instability and neurological deficit.

Introducción: Las fracturas odontoideas corresponden del 9-15% de las fracturas de la columna cervical. La fractura del atlas es poco común (3-13%)8. Presentación del caso: Masculino con fractura de Odontoides tipo II de Anderson y D´Alonzo con fragmento inestable tratado con fijación occipitocervical con placa occipital, tornillos transfacetarios C2-C3; Femenino con fractura de Jefferson tipo E+luxación atloaxoidea anterolateral, tratada con fijación occipitocervical, tornillos transfacetarios C2-C3-C4. Discusión: Fracturas tipo II de Anderson y D´Alonzo y fracturas de Jefferson tipo E son una urgencia quirúrgica debido a inestabilidad y déficit neurológico.

Diabetes and infectious disease mortality in Mexico City.

INTRODUCTION: Although higher risks of infectious diseases among individuals with diabetes have long been recognized, the magnitude of these risks is poorly described, particularly in lower income settings. This study sought to assess the risk of death from infection associated with diabetes in Mexico. RESEARCH DESIGN AND METHODS: Between 1998 and 2004, a total of 159 755 adults ≥35 years were recruited from Mexico City and followed up until January 2021 for cause-specific mortality. Cox regression yielded adjusted rate ratios (RR) for death due to infection associated with previously diagnosed and undiagnosed (HbA1c ≥6.5%) diabetes and, among participants with previously diagnosed diabetes, with duration of diabetes and with HbA1c. RESULTS: Among 130 997 participants aged 35-74 and without other prior chronic diseases at recruitment, 12.3% had previously diagnosed diabetes, with a mean (SD) HbA1c of 9.1% (2.5%), and 4.9% had undiagnosed diabetes. During 2.1 million person-years of follow-up, 2030 deaths due to infectious causes were recorded at ages 35-74. Previously diagnosed diabetes was associated with an RR for death from infection of 4.48 (95% CI 4.05-4.95), compared with participants without diabetes, with notably strong associations with death from urinary tract (9.68 (7.07-13.3)) and skin, bone and connective tissue (9.19 (5.92-14.3)) infections and septicemia (8.37 (5.97-11.7)). In those with previously diagnosed diabetes, longer diabetes duration (1.03 (1.02-1.05) per 1 year) and higher HbA1c (1.12 (1.08-1.15) per 1.0%) were independently associated with higher risk of death due to infection. Even among participants with undiagnosed diabetes, the risk of death due to infection was nearly treble the risk of those without diabetes (2.69 (2.31-3.13)). CONCLUSIONS: In this study of Mexican adults, diabetes was common, frequently poorly controlled, and associated with much higher risks of death due to infection than observed previously, accounting for approximately one-third of all premature mortality due to infection.

Body Composition and Risk of Vascular-Metabolic Mortality Risk in 113 000 Mexican Men and Women Without Prior Chronic Disease.

Background Body-mass index is the sum of fat mass index (FMI) and lean mass index (LMI), which vary by age, sex, and impact on disease outcomes. We investigated the separate and joint relevance of FMI and LMI with vascular-metabolic causes of death in Mexican adults. Methods and Results A total of 113 025 adults aged 35 to 74 years and free from diabetes or other chronic diseases when recruited into the Mexico City Prospective Study were followed for 19 years. Cox models estimated sex-specific death rate ratios from vascular-metabolic causes after adjustment for confounders and exclusion of the first 5 years of follow-up. To account for the strong correlation between FMI and LMI, additional models estimated rate ratios associated with "residual FMI" and "residual LMI" (ie, the residuals from linear regression analyses of FMI on LMI, or vice versa). In both sexes, higher FMI and LMI were associated with higher risks of vascular-metabolic mortality. For a given (ie, fixed) level of LMI, the rate ratio (95% CI) for vascular-metabolic mortality per 1 kg/m2 higher residual FMI strengthened and was higher in women (1.52 [1.38-1.68]) than in men (1.19 [1.13-1.25]). By contrast, for a given level of FMI, higher residual LMI was inversely associated with vascular-metabolic mortality (rate ratio per 1 kg/m2 0.67 [0.56-0.80] in women and 0.94 [0.90-0.98] in men). Conclusions In this study, higher residual FMI was more strongly associated with vascular-metabolic mortality in women than in men. Conversely, higher residual LMI was inversely associated with vascular-metabolic mortality, particularly in women.

Adiposity and NMR-measured lipid and metabolic biomarkers among 30,000 Mexican adults.

BACKGROUND: Adiposity is a major cause of morbidity and mortality in part due to effects on blood lipids. Nuclear magnetic resonance (NMR) spectroscopy provides direct information on >130 biomarkers mostly related to blood lipid particles. METHODS: Among 28,934 Mexican adults without chronic disease and not taking lipid-lowering therapy, we examine the cross-sectional relevance of body-mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and hip circumference (HC) to NMR-measured metabolic biomarkers. Confounder-adjusted associations between each adiposity measure and NMR biomarkers are estimated before and after mutual adjustment for other adiposity measures. RESULTS: Markers of general (ie, BMI), abdominal (ie, WC and WHR) and gluteo-femoral (ie, HC) adiposity all display similar and strong associations across the NMR-platform of biomarkers, particularly for biomarkers that increase cardiometabolic risk. Higher adiposity associates with higher levels of Apolipoprotein-B (about 0.35, 0.30, 0.35, and 0.25 SD higher Apolipoprotein-B per 2-SD higher BMI, WHR, WC, and HC, respectively), higher levels of very low-density lipoprotein particles (and the cholesterol, triglycerides, and phospholipids within these lipoproteins), higher levels of all fatty acids (particularly mono-unsaturated fatty acids) and multiple changes in other metabolic biomarkers including higher levels of branched-chain amino acids and the inflammation biomarker glycoprotein acetyls. Associations for general and abdominal adiposity are fairly independent of each other but, given general and abdominal adiposity, higher gluteo-femoral adiposity is associated with a strongly favourable cardiometabolic lipid profile. CONCLUSIONS: Our results provide insight to the lipidic and metabolomic signatures of different adiposity markers in a previously understudied population where adiposity is common but lipid-lowering therapy is not.

Obesity increases the risk of multiple diseases, in part due to alterations in how the body breaks down carbohydrates and fats, which is reflected in molecules that circulate in blood. In obesity, disease risk may vary depending on whether fat accumulates in the body overall (i.e. total adiposity), in the middle of the body (i.e. abdominal adiposity) or around the hips (i.e. gluteo-femoral adiposity). Here, we show that in a population of Mexican adults higher total and abdominal adiposity relate adversely, while higher gluteo-femoral adiposity relates favourably, to numerous molecules in blood that are linked to type 2 diabetes and heart disease. These findings provide insight on the processes that link the accumulation of fat across the body with disease risk in a population where obesity rates are high.

Higher cardiovascular risk scores and liver fibrosis risk estimated by biomarkers in patients with metabolic-dysfunction-associated fatty liver disease.

BACKGROUND: The definition of metabolic-dysfunction-associated fatty liver disease (MAFLD) allows identification of metabolically complicated patients. Fibrosis risk scores are related to cardiovascular risk (CVR) scores and could be useful for the identification of patients at risk of systemic complications. AIM: To evaluate the relationship between MAFLD and CVR using the Framingham risk score in a group of Mexican patients. METHODS: Cross-sectional, observational and descriptive study carried out in a cohort of 585 volunteers in the state of Veracruz with MAFLD criteria. The risk of liver fibrosis was calculated with aspartate aminotransferase-to-platelet ratio index, nonalcoholic fatty liver disease score and fibrosis-4, as well as with transient hepatic elastography with Fibroscan®. The CVR was determined by the Framingham system. RESULTS: One hundred and twenty-five participants (21.4%) with MAFLD criteria were evaluated, average age 54.4 years, 63.2% were women, body mass index 32.3 kg/m2. The Framingham CVR was high in 43 patients (33.9%). Transient elastography was performed in 55.2% of volunteers; 39.1% with high CVR and predominance in advanced fibrosis (F3-F4). The logistic regression analysis showed that liver fibrosis, diabetes and hypertension independently increased CVR. CONCLUSION: One of every three patients with MAFLD had a high CVR, and in those with high fibrosis risk, the CVR risk was even greater.

Ethnicity and other COVID-19 death risk factors in Mexico.

Introduction: Patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may develop coronavirus disease 2019 (COVID-19). Risk factors associated with death vary among countries with different ethnic backgrounds. We aimed to describe the factors associated with death in Mexicans with confirmed COVID-19. Material and methods: We analysed the Mexican Ministry of Health's official database on people tested for SARS-CoV-2 infection by real-time reverse transcriptase-polymerase chain reaction (rtRT-PCR) of nasopharyngeal fluids. Bivariate analyses were performed to select characteristics potentially associated with death, to integrate a Cox-proportional hazards model. Results: As of May 18, 2020, a total of 177,133 persons (90,586 men and 86,551 women) in Mexico received rtRT-PCR testing for SARS-CoV-2. There were 5332 deaths among the 51,633 rtRT-PCR-confirmed cases (10.33%, 95% CI: 10.07-10.59%). The median time (interquartile range, IQR) from symptoms onset to death was 9 days (5-13 days), and from hospital admission to death 4 days (2-8 days). The analysis by age groups revealed that the significant risk of death started gradually at the age of 40 years. Independent death risk factors were obesity, hypertension, male sex, indigenous ethnicity, diabetes, chronic kidney disease, immunosuppression, chronic obstructive pulmonary disease, age > 40 years, and the need for invasive mechanical ventilation (IMV). Only 1959 (3.8%) cases received IMV, of whom 1893 were admitted to the intensive care unit (96.6% of those who received IMV). Conclusions: In Mexico, highly prevalent chronic diseases are risk factors for death among persons with COVID-19. Indigenous ethnicity is a poorly studied factor that needs more investigation.

Body composition and phase angle by bioimpedance in patients with MAFLD. / Análisis de la composición corporal y ángulo de fase por bioimpedancia en pacientes con MAFLD.

OBJECTIVE: To describe the characteristics of the body components and phase angle (PhA) of patients with MAFLD according to those different to fibrosis and hepatic steatosis. MATERIAL AND METHODS: Observational and descriptive study in a cohort of 585 volunteers from our center with MAFLD criteria. The risk of liver fibrosis was determined by APRI, NAFLD score and FIB-4; at an indeterminate and high risk of fibrosis, a transient elastography (Fibroscan®) were realized. Bioimpedance body composition analysis (SECA®) was performed. Patients with ET and SECA® registry were included. Bioimpedance body composition analysis (SECA®) was performed. Patients with ET and SECA® registry were included. RESULTS: 125 participants (21.4%) were evaluated, age 53.9±13.9 years, 62.1% women, BMI 33.2±5.8kg/m2. The SECA® analysis showed mean fat mass of 42%±7.32 and muscle mass 21.18kg±6.6. The PhA was 5.1±0.69, in women 4.92±0.62 and men 5.41±0.70. PhA in patients without fibrosis was 5.091 vs with fibrosis 5.121 (P=.813). In advanced fibrosis, it reported a low value compared to the rest of the groups (P=.031). The PhA in S3 was higher compared to S1 and S2 (5.3 vs 4.82, 4.81) (P=.027). CONCLUSIONS: In MAFLD, the PhA was lower than the healthy Mexican population. In patients without fibrosis and severe steatosis, PhA rises proportionally to the increase in fat mass and BMI and in advanced liver fibrosis, PhA decreases.

Abdominal and gluteo-femoral markers of adiposity and risk of vascular-metabolic mortality in a prospective study of 150 000 Mexican adults.

AIMS: Results of previous studies of abdominal adiposity and risk of vascular-metabolic mortality in Hispanic populations have been conflicting. We report results from a large prospective study of Mexican adults with high levels of abdominal adiposity. METHODS AND RESULTS: A total of 159 755 adults aged ≥35 years from Mexico City were enrolled in a prospective study and followed for 16 years. Cox regression, adjusted for confounders, yielded mortality rate ratios (RRs) associated with three markers of abdominal adiposity (waist circumference, waist-hip ratio, and waist-height ratio) and one marker of gluteo-femoral adiposity (hip circumference) for cause-specific mortality before age 75 years. To reduce reverse causality, deaths in the first 5 years of follow-up and participants with diabetes or other prior chronic disease were excluded. Among 113 163 participants without prior disease and aged 35-74 years at recruitment, all adiposity markers were positively associated with vascular-metabolic mortality. Comparing the top versus bottom tenth of the sex-specific distributions, the vascular-metabolic mortality RRs at ages 40-74 years were 2.32 [95% confidence interval (CI) 1.84-2.94] for waist circumference, 2.22 (1.71-2.88) for the waist-hip ratio, 2.63 (2.06-3.36) for the waist-height ratio, and 1.58 (1.29-1.93) for hip circumference. The RRs corresponding to each standard deviation (SD) higher usual levels of these adiposity markers were 1.34 (95% CI 1.27-1.41), 1.31 (1.23-1.39), 1.38 (1.31-1.45), and 1.18 (1.13-1.24), respectively. For the markers of abdominal adiposity, the RRs did not change much after further adjustment for other adiposity markers, but for hip circumference the association was reversed; given body mass index and waist circumference, the RR for vascular-metabolic mortality for each one SD higher usual hip circumference was 0.80 (0.75-0.86). CONCLUSIONS: In this study of Mexican adults, abdominal adiposity (and in particular the waist-height ratio) was strongly and positively associated with vascular-metabolic mortality. For a given amount of general and abdominal adiposity, however, higher hip circumference was associated with lower vascular-metabolic mortality.

Premio de Investigación SCHOT 2020: desarrollo y validación de un modelo multivariables de predicción de estadía hospitalaria en pacientes mayores de 65 años sometidos artroplastia total de cadera electiva en Chile utilizando aprendizaje de máquinas / 2020 SCHOT Research award: Development an a multivariable prediction model of hospital stay in elderly chilean patients undergoing elective total hip arthroplasty using machine learning

INTRODUCCIÓN La predicción de la estadía hospitalaria luego de una artroplastia total de cadera (ATC) electiva es crucial en la evaluación perioperatoria de los pacientes, con un rol determinante desde el punto de vista operacional y económico. Internacionalmente, se han empleado macrodatos (big data, en inglés) e inteligencia artificial para llevar a cabo evaluaciones pronósticas de este tipo. El objetivo del presente estudio es desarrollar y validar, con el empleo del aprendizaje de máquinas (machine learning, en inglés), una herramienta capaz de predecir la estadía hospitalaria de pacientes chilenos mayores de 65 años sometidos a ATC por artrosis. MATERIALES Y MÉTODOS Empleando los registros electrónicos de egresos hospitalarios anonimizados del Departamento de Estadísticas e Información de Salud (DEIS), se obtuvieron los datos de 8.970 egresos hospitalarios de pacientes sometidos a ATC por artrosis entre los años 2016 y 2018. En total, 15 variables disponibles en el DEIS, además del porcentaje de pobreza de la comuna de origen del paciente, fueron incluidos para predecir la probabilidad de que un paciente presentara una estadía acortada (< 3 días) o prolongada (> 3 días) luego de la cirugía. Utilizando técnicas de aprendizaje de máquinas, 8 algoritmos de predicción fueron entrenados con el 80% de la muestra. El 20% restante se empleó para validar las capacidades predictivas de los modelos creados a partir de los algoritmos. La métrica de optimización se evaluó y ordenó en un ranking utilizando el área bajo la curva de característica operativa del receptor (area under the receiver operating characteristic curve, AUC-ROC, en inglés), que corresponde a cuan bien un modelo puede distinguir entre dos grupos. RESULTADOS El algoritmo XGBoost obtuvo el mejor desempeño, con una AUC-ROC promedio de 0,86 (desviación estándar [DE]: 0,0087). En segundo lugar, observamos que el algoritmo lineal de máquina de vector de soporte (support vector machine, SVM, en inglés) obtuvo una AUC-ROC de 0,85 (DE: 0,0086). La importancia relativa de las variables explicativas demostró que la región de residencia, el servicio de salud, el establecimiento de salud donde se operó el paciente, y la modalidad de atención son las variables que más determinan el tiempo de estadía de un paciente. DISCUSIÓN El presente estudio desarrolló algoritmos de aprendizaje de máquinas basados en macrodatos chilenos de libre acceso, y logró desarrollar y validar una herramienta que demuestra una adecuada capacidad discriminatoria para predecir la probabilidad de estadía hospitalaria acortada versus prolongada en adultos mayores sometidos a ATC por artrosis. CONCLUSIÓN Los algoritmos creados a traves del empleo del aprendizaje de máquinas permiten predecir la estadía hospitalaria en pacientes chilenos operado de artroplastia total de cadera electiva

Introduction The prediction of the length of hospital stay after elective total hip arthroplasty (THA) is crucial in the perioperative evaluation of the patients, and it plays a decisive role from the operational and economic point of view. Internationally, big data and artificial intelligence have been used to perform prognostic evaluations of this type. The present study aims to develop and validate, through the use of artificial intelligence (machine learning), a tool capable of predicting the hospital stay of patients over 65 years of age undergoing THA for osteoarthritis. Material and Methods Using the electronic records of hospital discharges de-identified from the Department of Health Statistics and Information (Departamento de Estadísticas e Información de Salud, DEIS, in Spanish), the data of 8,970 hospital discharges of patients who had undergone THA for osteoarthritis between 2016 and 2018 were obtained. A total of 15 variables available in the DEIS registry, in addition to the poverty rate in the patient's borough of origin were included to predict the probability that a patient would have a shortened (< 3 days) or prolonged (> 3 days) stay after surgery. By using machine learning techniques, 8 prediction algorithms were trained with 80% of the sample. The remaining 20% was used to validate the predictive capabilities of the models created from the algorithms. The optimization metric was evaluated and ranked using the area under the receiver operating characteristic curve (AUC-ROC), which corresponds to how well a model can distinguish between two groups. Results The XGBoost algorithm had the best performance, with an average AUC-ROC of 0.86 (standard deviation [SD]: 0.0087). Secondly, we observed that the linear support vector machine (SVM) algorithm obtained an AUC-ROC of 0.85 (SD: 0.0086). The relative importance of the explanatory variables showed that the region of residence, the administrative health service, the hospital where the patient was operated on, and the care modality are the variables that most determine the length of stay. Discussion The present study developed machine learning algorithms based on freeaccess Chilean big data, which helped create and validate a tool that demonstrates an adequate discriminatory capacity to predict shortened versus prolonged hospital stay in elderly patients undergoing elective THA. Conclusion The algorithms created through the use of machine learning allow to predict the hospital stay in Chilean patients undergoing elective total hip arthroplasty Introduction The prediction of the length of hospital stay after elective total hip arthroplasty (THA) is crucial in the perioperative evaluation of the patients, and it plays a decisive role from the operational and economic point of view. Internationally, big data and artificial intelligence have been used to perform prognostic evaluations of this type. The present study aims to develop and validate, through the use of artificial intelligence (machine learning), a tool capable of predicting the hospital stay of patients over 65 years of age undergoing THA for osteoarthritis. Material and Methods Using the electronic records of hospital discharges de-identified from the Department of Health Statistics and Information (Departamento de Estadísticas e Información de Salud, DEIS, in Spanish), the data of 8,970 hospital discharges of patients who had undergone THA for osteoarthritis between 2016 and 2018 were obtained. A total of 15 variables available in the DEIS registry, in addition to the poverty rate in the patient's borough of origin were included to predict the probability that a patient would have a shortened (< 3 days) or prolonged (> 3 days) stay after surgery. By using machine learning techniques, 8 prediction algorithms were trained with 80% of the sample. The remaining 20% was used to validate the predictive capabilities of the models created from the algorithms. The optimization metric was evaluated and ranked using the area under the receiver operating characteristic curve (AUC-ROC), which corresponds to how well a model can distinguish between two groups. Results The XGBoost algorithm had the best performance, with an average AUC-ROC of 0.86 (standard deviation [SD]: 0.0087). Secondly, we observed that the linear

Complicaciones quirúrgicas del abordaje endoscópico endonasal transesfenoidal en macroadenomas hipofisarios no funcionantes: estudio de centro único.

ANTECEDENTES: Los abordajes quirúrgicos de la región selar han sido un reto para los neurocirujanos. Con la introducción de la técnica endoscópica se ha minimizado el trauma quirúrgico, pero esta técnica no se encuentra exenta de complicaciones. OBJETIVO: Describir nuestra experiencia institucional en pacientes sometidos a resección de macroadenomas hipofisarios por vía microquirúrgica endonasal transesfenoidal asistida por endoscopia con énfasis en las complicaciones resultantes. MÉTODO: Revisamos los expedientes electrónicos de 17 pacientes sometidos a dicho procedimiento de manera consecutiva entre 2017 y 2018, y recabamos variables como edad, sexo, clasificación imagenológica, tiempo de diagnóstico al momento de la cirugía, complicaciones posoperatorias y recurrencia. RESULTADOS: La edad promedio de los pacientes fue de 45.23 años y el 70.59% eran mujeres. Radiológicamente predominó el grado 2 Knosp (47.05%). La complicación principal fue diabetes insípida transitoria (23.52%), seguida por la fístula de líquido cefalorraquídeo (11.76%). CONCLUSIONES: El manejo microquirúrgico asistido por endoscopia ha demostrado ser un recurso valioso para tratar macroadenomas hipofisarios, pero presenta grados variables de complicaciones, por lo cual se requiere la adquisición de habilidades para el uso del endoscopio, la planeación preoperatoria adecuada y el manejo conjunto multidisciplinario con el fin de evitarlas. BACKGROUND: Surgical approaches to the sellar region have been a challenge for the neurosurgeon. With the introduction of the endoscopic technique, surgical trauma has been minimized, however it is not free of complications. OBJECTIVE: To describe our institutional experience in patients undergoing resection of pituitary macroadenomas by endoscopic-assisted microsurgical approach, with emphasis on the resulting complications. METHOD: We reviewed the electronic files of 17 patients who underwent this procedure consecutively between 2017 and 2018, collecting variables such as age, sex, imaging classification, time of diagnosis at the time of surgery, postoperative complications and recurrence. RESULTS: The average age of the patients was 45.23 years, with 70.59% women. Radiologically, grade 2 Knosp predominated (47.05%). The main complication was transient diabetes insipidus (23.52%) followed by cerebrospinal fluid fistula (11.76%). CONCLUSIONS: The endoscopic-assisted microsurgical approach has proven to be a valuable resource for treating pituitary macroadenomas, however it presents variable degrees of complications, which requires the acquisition of skills for the use of the endoscope, adequate preoperative planning, and multidisciplinary joint management in order to avoid them.

Association of Kidney Function With NMR-Quantified Lipids, Lipoproteins, and Metabolic Measures in Mexican Adults.

CONTEXT: Chronic kidney disease (CKD) and diabetes are associated with dyslipidemia, metabolic abnormalities, and atherosclerotic risk. Nuclear magnetic resonance (NMR) spectroscopy provides much more detail on lipoproteins than traditional assays. METHODS: In about 38 000 participants from the Mexico City Prospective Study, aged 35 to 84 years and not using lipid-lowering medication, NMR spectroscopy quantified plasma concentrations of lipoprotein particles, their lipidic compositions, and other metabolic measures. Linear regression related low estimated glomerular filtration rate (eGFR; <60 mL/min/1.73 m2) to each NMR measure after adjustment for confounders and for multiplicity. Analyses were done separately for those with and without diabetes. RESULTS: Among the 38 081 participants (mean age 52 years, 64% women), low eGFR was present for 4.8% (306/6403) of those with diabetes and 1.2% (365/31 678) of those without diabetes. Among both those with and without diabetes, low eGFR was significantly associated with higher levels of 58 NMR measures, including apolipoprotein B (Apo-B), the particle numbers of most Apo-B containing lipoproteins, the cholesterol and triglycerides carried in these lipoproteins, several fatty acids, total cholines and phosphatidylcholine, citrate, glutamine, phenylalanine, ß-OH-butyrate, and the inflammatory measure glycoprotein-A, and significantly lower levels of 13 NMR measures, including medium and small high-density lipoprotein particle measures, very low-density lipoprotein particle size, the ratio of saturated:total fatty acids, valine, tyrosine, and aceto-acetate. CONCLUSIONS: In this Mexican population with high levels of adiposity and diabetes, low kidney function was associated with widespread alterations in lipidic and metabolic profiles, both in those with and without diabetes. These alterations may help explain the higher atherosclerotic risk experienced by people with CKD.