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Introduction. Sepsis is the main cause of death in hospitals and the implementation of diagnosis and treatment bundles has shown to improve its evolution. However, there is alack of evidence about patients attended in conventional units.Methods. A 3-year retrospective cohort study was conducted. Patients hospitalized in Internal Medicine units withsepsis were included and assigned to two cohorts according toSepsis Code (SC) activation (group A) or not (B). Baseline andevolution variables were collected.Results. A total of 653 patients were included. In 296 cases SC was activated. Mean age was 81.43 years, median Charlson comorbidity index (CCI) was 2 and 63.25% showed somefunctional disability. More bundles were completed in group A:blood cultures 95.2% vs 72.5% (p < 0.001), extended spectrumantibiotics 59.1% vs 41.4% (p < 0.001), fluid resuscitation96.62% vs 80.95% (p < 0.001). Infection control at 72 hourswas quite higher in group A (81.42% vs 55.18%, odds ratio3.55 [2.48-5.09]). Antibiotic was optimized more frequently ingroup A (60.77% vs 47.03%, p 0.008). Mean in-hospital staywas 10.63 days (11.44 vs 8.53 days, p < 0.001). Complicationsduring hospitalization appeared in 51.76% of patients, especially in group B (45.95% vs 56.58%, odds ratio 1.53 [1.12-2.09]). Hospital readmissions were higher in group A (40% vs24.76%, p < 0.001). 28-day mortality was significantly lower ingroup A (20.95% vs 42.86%, odds ratio 0.33 [0.23-0.47]).Conclusions. Implementation of SC seems to be effectivein improving short-term outcomes in IM patients, althoughtherapy should be tailored in an individual basis (AU)
Introducción. La sepsis es la principal causa de muerte enlos hospitales y la implantación de códigos para su manejo hademostrado mejorar su evolución. Sin embargo, es escasa laevidencia relativa a los pacientes atendidos en unidades médicas convencionales.Métodos. Se realizó un estudio de cohortes retrospectivode 3 años. Se incluyeron pacientes con sepsis hospitalizados enunidades de Medicina Interna y se asignaron a dos cohortessegún la activación del Código Sepsis (CS) (grupo A) o no (B).Se recogieron variables basales y de evolución.Resultados. Se incluyeron 653 pacientes. En 296 casos seactivó el SC. La edad media fue de 81,43 años, la mediana delíndice de comorbilidad de Charlson (ICC) fue de 2 y el 63,25%presentaba alguna limitación funcional. Se realizaron más acciones diagnósticas y terapéuticas en el grupo A: hemocultivos95,2% vs 72,5% (p < 0,001), antibióticos de espectro extendido59,1% vs 41,4% (p < 0,001), reanimación con líquidos 96,62%vs 80,95% (p < 0,001). El control de la infección a las 72 horasfue superior en el grupo A (81,42% vs 55,18%, odds ratio 3,55[2,48-5,09]). La optimización de los antibióticos fue más frecuente en el grupo A (60,77% vs 47,03%, p 0,008). La estanciamedia en el hospital fue de 10,63 días (11,44 vs 8,53 días, p <0,001). Aparecieron complicaciones durante la hospitalizaciónen el 51,76% de los pacientes, especialmente en el grupo B(45,95% vs 56,58%, odds ratio 1,53 [1,12-2,09]). Los pacientesdel grupo A reingresaron más (40% vs 24,76%, p < 0,001). Lamortalidad a los 28 días fue significativamente menor en elgrupo A (20,95% frente a 42,86%, odds ratio 0,33 [0,23-0,47]). (AU)
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Humanos , Anciano , Anciano de 80 o más Años , Sepsis , Hospitalización , Medicina Interna , Mortalidad Hospitalaria , Estudios Retrospectivos , Estudios de CohortesRESUMEN
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.
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BACKGROUND AND PURPOSE: Headache is an important manifestation during SARS-CoV-2 infection. In this study, the aim was to identify factors associated with headache in COVID-19 and headache characteristics. METHODS: This case-control study includes COVID-19 hospitalized patients with pneumonia during March 2020. Controls comprise COVID-19 patients without headache and the cases are COVID-19 patients with headache. Demographic, clinical and laboratory data were obtained from the medical records. Headache characteristics were evaluated by semi-structured telephonic interview after discharge. RESULTS: Of a total of 379 COVID-19 patients, 48 (13%) developed headache. Amongst these, 30 (62%) were men and the median age was 57.9 (47-73) years. Headache was associated with younger age, fewer comorbidities and reduced mortality, as well as with low levels of C-reactive protein, mild acute respiratory distress syndrome and oropharyngeal symptoms. A logistic multiple regression model revealed that headache was directly associated with D-dimer and creatinine levels, the use of high flow nasal cannula and arthromyalgia, whilst urea levels, beta-lactamic treatment and hypertension were negatively associated with headache. COVID-19-associated headache characteristics were available for 23/48 (48%) patients. Headache was the onset symptom in 8/20 (40%) patients, of mild or moderate intensity in 17/20 (85%) patients, with oppressive characteristics in 17/18 (94%) and of holocranial 8/19 (42%) or temporal 7/19 (37%) localization. CONCLUSIONS: Our results show that headache is associated with a more benign SARS-CoV-2 infection. COVID-19-associated headache appears as an early symptom and as a novel headache with characteristics of headache attributed to systemic viral infection. Further research addressing the underlying mechanisms to confirm these findings is warranted.