Background and Objective: Fibrotic interstitial lung disease (ILD) is associated with high morbidity and mortality. Patients often exhibit impaired nutritional status and alterations in body composition, such as dynapenia and sarcopenia, which correlate with poor pulmonary function, reduced exercise tolerance and diminished quality of life. However, the impact of dynapenia and sarcopenia on prognosis has not been examined extensively in ILD patients.We assessed the impact of dynapenia and sarcopenia as risk factors for mortality and their prevalence in ILD.Methods: Prospective cohort study. ILD was classified into idiopathic pulmonary fibrosis (IPF), connective tissue disease‐related ILD (CTD‐ILD) and chronic hypersensitivity pneumonitis (CHP). Patients over 18 years old with a confirmed diagnosis of ILD were included, while those with diagnoses of cancer, human immunodeficiency virus and neurological disease were excluded. Dynapenia and sarcopenia were determined according to EWGSOP2 criteria.Results: Ninety‐eight ILD patients were included; 33.66% had IPF, 47.96% had CTD‐ILD, and 18.37% had CHP. The mean age was 63.89 ± 12.02 years; 37.76% were male.The risk factors associated with mortality included dynapenia (HR: 2.04, 95% CI: 1.10–3.77, p = 0.022), sarcopenia (HR: 1.88, 95% CI; 1.00–3.33, p = 0.049) and exercise tolerance (HR: 0.99, 95% CI; 0.99–0.99, p = 0.023), adjusted for confounding variables.The prevalence of dynapenia was 45% in ILD; 51% in IPF, 35% in CTD‐ILD and 61% in CHP. The prevalence of sarcopenia was 29%; both IPF (39%) and CHP (50%) had a higher prevalence of sarcopenia than CTD‐ILD (14%).Conclusion: Sarcopenia and dynapenia are independent risk factors for mortality in ILD. image

Background: The most frequent body composition alterations in post-COVID-19 syndrome include low muscle mass, dynapenia, sarcopenia, and obesity. These conditions share interconnected pathophysiological mechanisms that exacerbate each other. The relationship between body composition phenotypes and metabolic abnormalities in post-COVID-19 syndrome remains unclear. Objective: To evaluate the association between body composition phenotypes and insulin resistance (IR) and metabolic abnormalities in non-diabetic individuals with post-COVID-19 syndrome. Methods: A cross-sectional, single-center study involving 483 subjects with post-COVID-19 syndrome following moderate to severe acute COVID-19 requiring hospitalization. Individuals with diabetes, those who declined to participate, or those who could not be contacted were excluded. Body composition phenotypes were classified as normal weight, dynapenia, sarcopenia, dynapenic obesity, and sarcopenic obesity (SO). Results: The average age was 52.69 ± 14.75 years; of note, 67.08% were male. The prevalence of body composition phenotypes was as follows: 13.25% were of normal weight, 9.52% had dynapenia, 9.94% had sarcopenia, 43.69% had obesity, 18.84% had dynapenic obesity, and 4.76% had SO. Additionally, 58.18% had IR. Obesity (OR: 2.98, CI95%; 1.64–5.41) and dynapenic obesity (OR: 4.98, CI95%; 1.46–6.88) were associated with IR. Conclusion: The most common body composition phenotypes were obesity, dynapenic obesity, and dynapenia. Furthermore, obesity and dynapenic obesity were associated with IR in post-COVID-19 syndrome.

Objective Cervical cancer is the fourth most frequent neoplasm among women in terms of incidence and mortality. Health-related quality of life (HRQL) is an important outcome in oncology. The QLQ-CX24 instrument was developed to measure HRQL in patients with cervical cancer, and its Mexican-Spanish version had not been validated. Methods Between March 2018 and May 2019, Mexican women older than 18, with any-stage cervical cancer were invited to participate in the study. Patients answered the QLQ-C30 and QLQ-CX24 questionnaires. Current tests for psychometric and clinical validation were performed. Results Three hundred and thirty patients with cervical cancer were included in this study. All women invited to participate accepted and were included. The QLQ-CX24 internal consistency test demonstrated adequate convergent (Spearman correlation coefficient 0.001–0.847) and divergent validity (Spearman correlation coefficient 0.7 (minimum 0.76, maximum 0.89). Four scales of the QLQ-CX24 distinguished patients in different clinical stages. The evaluation of responsiveness demonstrated that the peripheral neuropathy scale was sensitive to change over time during chemo-radiation therapy. Six scales of the QLQ-CX24 instrument were associated with survival. Conclusion The Mexican-Spanish version of the QLQ-CX24 questionnaire is reliable and valid for the assessment of HRQL in patients with cervical cancer.

Pediatric COVID-19 patients have lower rates of hospitalization and fatal outcomes compared to adults with COVID-19; however, children represent a challenge in the detection, diagnosis, and treatment of COVID-19. Our aim was to determine the risk factors for hospital admission, invasive mechanical ventilation, and mortality in pediatric COVID-19 patients in Mexico during the COVID-19 pandemic. A retrospective cohort of pediatric patients with COVID-19 from February 2020 to April 2021 was reported on the National Epidemiological Surveillance System for Viral Respiratory Disease (SISVER) platform. Among the 104,133 patients included in our study, 6214 were hospitalized, and 621 patients underwent invasive mechanical ventilation. A total of 0.65 % died during hospitalization. Children aged <12 months (odds ratio [OR]: 17.1; 95 % confidence interval [CI]: 15.9-19.4, p < 0.001), 1-4 years (OR: 3.69; 95 % CI: 3.2-4.1, p < 0.001), 5-9 years (OR: 1.86; 95 % CI: 1.66-2.08, p < 0.001), and 10-14 years (OR: 1.23; 95 % CI: 1.11-1.37, p < 0.001), and those diagnosed with diabetes (OR: 2.32; 95 % CI 1.68-3.20, p < 0.001) and obesity (OR: 1.24; 95 % CI 1.04-1.48, p = 0.015) were associated with hospital admission. Renal disease (OR: 3.85; 95 % CI: 2.25-6.59, p < 0.001) was associated with invasive mechanical ventilation. Pneumonia (OR: 15.9; 95 % CI: 12.6-20.1, p < 0.001) and renal disease (OR: 3.85; 95 % CI: 2.25-6.59, p value < 0.001) were associated with death. Pneumonia increases the risk of death. The youngest age group has a higher risk of hospital admission. Comorbidities such as renal disease or immunosuppression increase the risk of death in all age groups.

In April 2024, the Instituto Nacional de Enfermedades Respiratorias of Mexico City identified a case of unsubtypeable Influenza A in a 58-year-old immunocompromised patient with renal failure due to diabetic nephropathy and bacterial peritonitis. Through sequencing the M, NS, NA, NP, and HA complete segments, we identified an H5N2 influenza virus with identity of 99% with avian influenza A(H5N2) from Texcoco, Mexico, in 2024. This case is the first reported with direct evidence of human infection caused by the H5N2 influenza virus; the relationship of the virus with the severity of his condition remains unknown.