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1.
J Int Med Res ; 50(7): 3000605221110492, 2022 Jul.
Artículo en Inglés | MEDLINE | ID: covidwho-1927981

RESUMEN

OBJECTIVE: We aimed to describe the persistence of symptoms in coronavirus disease 2019 (COVID-19) and quality of life (QoL) among patients 90 days after their discharge from the hospital for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and to determine differences in QoL domains concerning the absence or presence of persistent symptoms. METHODS: To measure QoL, we used a validated Spanish version of the 36-item Short Form Health Survey (SF-36). RESULTS: We included 141 patients. Ninety days after discharge, COVID-19 symptoms persisted in 107 patients (75.9%), with fatigue (55.3%) and joint pain (46.8%) being the most frequent. According to the SF-36, the role-physical score was the dimension with the lowest values (median score, 25; interquartile range, 0-75). Patients with joint pain, fatigue, and dyspnea had lower scores than patients without those symptoms, with 10 of the 13 evaluated SF-36 scales showing lower levels. CONCLUSION: Ninety days after hospital discharge from COVID-19 reference centers, most patients had persistent symptoms and had lower SF-36 scores than patients without symptoms. It is important to follow-up patients discharged from the hospital after SARS-CoV-2 infection, ideally through a post-COVID-19 health care clinic and rehabilitation program, to improve QoL in these patients.


Asunto(s)
COVID-19 , Calidad de Vida , Artralgia , Fatiga , Hospitales , Humanos , Alta del Paciente , SARS-CoV-2 , Encuestas y Cuestionarios
2.
Sci Rep ; 12(1): 536, 2022 01 11.
Artículo en Inglés | MEDLINE | ID: covidwho-1815583

RESUMEN

To evaluate the effect of the combination of linagliptin and insulin on metabolic control and prognosis in hospitalized patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and hyperglycemia. A parallel double-blind randomized clinical trial including hospitalized patients with SARS-CoV-2 infection and hyperglycemia, randomized to receive 5 mg linagliptin + insulin (LI group) or insulin alone (I group) was performed. The main outcomes were the need for assisted mechanical ventilation and glucose levels during hospitalization. Subjects were screened for eligibility at hospital admission if they were not with assisted mechanical ventilation and presented hyperglycemia, and a total of 73 patients with SARS-CoV-2 infection and hyperglycemia were randomized to the LI group (n = 35) or I group (n = 38). The average hospital stay was 12 ± 1 vs 10 ± 1 days for the I and LI groups, respectively (p = 0.343). There were no baseline clinical differences between the study groups, but the percentage of males was higher in the LI group (26 vs 18, p = 0.030). The improvements in fasting and postprandial glucose levels were better in the LI group that the I group (122 ± 7 vs 149 ± 10, p = 0.033; and 137 ± 7 vs 173 ± 12, p = 0.017, respectively), and insulin requirements tended to be lower in the LI group than the I group. Three patients in the LI group and 12 in the I group required assisted mechanical ventilation (HR 0.258, CI 95% 0.092-0.719, p = 0.009); 2 patients in the LI group and 6 in the I group died after a follow-up of 30 days (p = 0.139). No major side effects were observed. The combination of linagliptin and insulin in hospitalized patients with SARS-CoV-2 infection and hyperglycemia reduced the relative risk of assisted mechanical ventilation by 74% and improved better pre and postprandial glucose levels with lower insulin requirements, and no higher risk of hypoglycemia.This study is registered at clinicaltrials.gov, number NCT04542213 on 09/03/2020.


Asunto(s)
COVID-19/diagnóstico , Hiperglucemia/tratamiento farmacológico , Insulina/uso terapéutico , Linagliptina/uso terapéutico , Glucemia/análisis , COVID-19/complicaciones , COVID-19/virología , Quimioterapia Combinada , Femenino , Hospitalización , Humanos , Hiperglucemia/complicaciones , Tiempo de Internación , Masculino , Persona de Mediana Edad , Pronóstico , Modelos de Riesgos Proporcionales , Respiración Artificial/estadística & datos numéricos , SARS-CoV-2/aislamiento & purificación
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