Gender-Based Differences by Age Range in Patients Hospitalized with COVID-19: A Spanish Observational Cohort Study.

There is some evidence that male gender could have a negative impact on the prognosis and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The aim of the present study was to compare the characteristics of coronavirus disease 2019 (COVID-19) between hospitalized men and women with confirmed SARS-CoV-2 infection. This multicenter, retrospective, observational study is based on the SEMI-COVID-19 Registry. We analyzed the differences between men and women for a wide variety of demographic, clinical, and treatment variables, and the sex distribution of the reported COVID-19 deaths, as well as intensive care unit (ICU) admission by age subgroups. This work analyzed 12,063 patients (56.8% men). The women in our study were older than the men, on average (67.9 vs. 65.7 years; p < 001). Bilateral condensation was more frequent among men than women (31.8% vs. 29.9%; p = 0.007). The men needed non-invasive and invasive mechanical ventilation more frequently (5.6% vs. 3.6%, p < 0.001, and 7.9% vs. 4.8%, p < 0.001, respectively). The most prevalent complication was acute respiratory distress syndrome, with severe cases in 19.9% of men (p < 0.001). In men, intensive care unit admission was more frequent (10% vs. 6.1%; p < 0.001) and the mortality rate was higher (23.1% vs. 18.9%; p < 0.001). Regarding mortality, the differences by gender were statistically significant in the age groups from 55 years to 89 years of age. A multivariate analysis showed that female sex was significantly and independently associated with a lower risk of mortality in our study. Male sex appears to be related to worse progress in COVID-19 patients and is an independent prognostic factor for mortality. In order to fully understand its prognostic impact, other factors associated with sex must be considered.

La importancia de la dependencia en la valoración global del paciente hospitalizado / The Importance of Dependence in Global Assessment of Hospitalized Patient

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Cause-specific death in hospitalized individuals infected with SARS-CoV-2: more than just acute respiratory failure or thromboembolic events.

Infection with SARS-CoV-2 is becoming the leading cause of death in most countries during the 2020 pandemic. The objective of this study is to assess the association between COVID-19 and cause-specific death. The design is retrospective cohort study. We included data from inpatients diagnosed with COVID-19 between March 18 and April 21, 2020, who died during their hospital stay. Demographic, clinical and management data were collected. Causes of death were ascertained by review of medical records. The sample included 128 individuals. The median age was 84 (IQR 75-89), 57% were men. In 109 patients, the death was caused by SARS-CoV-2 infection, whereas in 19 (14.8%, 95 CI 10-22%), the infection acted only as a precipitating factor to decompensate other pathologies. This second group of patients was older (88y vs 82, p < 0.001). In age-adjusted analysis, they had a greater likelihood of heart failure (OR 3.61 95% CI 1.15-11.32), dependency in activities of daily living (OR 12.07 95% CI 1.40-103.86), frailty (OR 8.73 95% CI 1.37-55.46). The presence of X-ray infiltrates was uncommon (OR 0.07, 95% CI 0.02-0.25). A higher percentage of patient deaths from causes unrelated to COVID-19 complications occurred during the two first weeks of the pandemic. Fifteen percent of patients with COVID-19 infection died from decompensation of other pathologies and the cause of death was unrelated to COVID-19 severe complications. Most of these patients had more comorbidities and were frail and elderly. These findings can partially explain the excess mortality in older people.

Evaluation and characterization of multimorbidity profiles, resource consumption and healthcare needs in extremely elderly people.

OBJECTIVES: Spanish population lifespan is one of the longest in the world. Moreover, it is known that elderly people have less chronic illnesses associated with aging. Our aims were to determine how Clinical Risk Group (CRG) predicts future use of healthcare resources in extremely elderly people without diabetes (T2DM) and to explore CRG correlation with health conditions. DESIGN: Prospective cross-sectional study. SETTING: Rio Hortega University Hospital. PARTICIPANTS: Hospitalized patients >80 years old without T2DM, during 2017. MAIN OUTCOME MEASURES: Mental status was evaluated using Pfeiffer test (SPMQS), Basic Activities of Daily Living (BADLs) and Instrumental Activities of Daily Living (IADLs) were estimated using the Older Americans Resources and Services questionnaire. Comorbidity was evaluated using Charlson index (CI) and health-related quality of life (HRQoL) with EuroQoL (EQ5D3L). CRG classification system was obtained from electronic clinical records. Data were analyzed using SPSS v.15.0. RESULTS: In total, 305 patients were identified (59% women), mean age 88 ± 5 and 38% were aged >90. Estimated HRQoL was 0.43 ± 0.33 for EQ5D3L-index-value. Mean dependence level was 6.2 ± 5 for BADLs and 9.2 ± 5 for IADLs. In total, 31.6% of patients had severe cognitive impairment with a mean score of 5.4 ± 3.6 in SPMQS. In total, 30.2% of patients were categorized as G3, and presented high comorbidity more frequently than the rest. Corrected CI mean score was 6.2 ± 1.7. Significant relationship was founded in survival time, number of admissions and CI score. CONCLUSIONS: Using predictive risk models like CRG is supposed to assess the complexity of morbidity but in our extremely elderly population partially fail in stratify and predict health resource consumption.

Respiratory chain polymorphisms and obesity in the Spanish population, a cross-sectional study.

OBJECTIVE: To study the association of genes involved in the mitochondrial respiratory chain (MRC) pathway with body mass index (BMI) and obesity risk. DESIGN: This work studies three cross-sectional populations from Spain, representing three provinces: HORTEGA (Valladolid, Northwest/Centre), SEGOVIA (Segovia, Northwest/centre) and PIZARRA (Malaga,South). SETTING: Forty-eight single nucleotide polymorphisms (SNPs) from MRC genes were selected and genotyped by SNPlex method. Association studies with BMI and obesity risk were performed for each population. These associations were then verified by analysis of the studied population as a whole (3731 samples). PARTICIPANTS: A total of 3731 Caucasian individuals: 1502 samples from HORTEGA, 988 from PIZARRA and 1241 from SEGOVIA. RESULTS: rs4600063 (SDHC), rs11205591 (NDUFS5) and rs10891319 (SDHD) SNPs were associated with BMI and obesity risk (p values for BMI were 0.04, 0.0011 and 0.0004, respectively, and for obesity risk, 0.0072, 0.039 and 0.0038). However, associations between rs4600063 and BMI and between these three SNPs and obesity risk are not significant if Bonferroni correction is considered. In addition, rs11205591 and rs10891319 polymorphisms showed an additive interaction with BMI and obesity risk. CONCLUSIONS: Several polymorphisms from genes coding MRC proteins may be involved in BMI variability and could be related to the risk to become obese in the Spanish general population.