The impact of frailty on intra-hospital survival in older patients with COVID-19 infection: the importance of early identification. SEMI-COVID National Registry.

BACKGROUND: Emerging evidence suggests that frailty may be a significant predictor of poor outcomes in older individuals hospitalized due to COVID-19. This study aims to determine the prognostic value of frailty on intrahospital patient survival. METHODS: This observational, multicenter, nationwide study included patients aged 70 years and older who were hospitalized due to COVID-19 in Spain between March 1 and December 31, 2020. Patient data were obtained from the SEMI-COVID-19 Registry of the Spanish Society of Internal Medicine. Frailty was assessed using the Clinical Frailty Scale. The primary outcome was hospital survival. Cox proportional hazards models were used to assess predictors of survival. RESULTS: A total of 1,878 participants (52% men and 48% women) were included, with 1,351 (71.9%) survivors and 527 (28.1%) non-survivors. The non-survivor group had higher mean age (83.5 vs. 81 years), comorbidities (6.3 vs. 5.3 points on the Charlson index), degree of dependency (26.8% vs. 12.4% severely dependent patients), and frailty (34.5% vs. 14.7% severely frail patients) compared to survivors. However, there were no differences in terms of sex. Our results demonstrate that a moderate-severe degree of frailty is the primary factor independently associated with shorter survival [HR 2.344 (1.437-3.823; p<0.001) for CFS 5-6 and 3.694 (2.155-6.330; p<0.001) for CFS 7-9]. CONCLUSION: Frailty is the main predictor of adverse outcomes in older patients with COVID-19. The utilization of tools such as the Clinical Frailty Scale is crucial for early detection in this population.

[CD64 index as a marker of infection in patients with postoperative fever]. / El índice CD64 como marcador de infección en pacientes con fiebre postoperatoria.

OBJECTIVE: To evaluate the utility of the granulocyte CD64 index as a marker of infection in patients with postoperative fever. METHODS: Prospective observational study of a cohort of patients with postoperative fever (2nd-21st day after the intervention) collected during 14 months. Obtaining blood samples during the first 24 hours after the febrile peak to determine the CD64 index (ratio of fluorescence intensity, measured, in the granulocytes of the patient with respect to healthy controls), procalcitonin and C-reactive protein (CRP). RESULTS: During the study period, 50 patients were included, 28 patients (56%) with infection and 22 patients (44%) without evidence of infection. The PCR, procalcitonin and the CD64 index showed significantly higher values in the group of patients who suffered infection. The CD64 index showed a sensitivity of 88.9%, with a specificity of 65.2%. The positive predictive value (PPV) was 75% and the negative predictive value (NPV) was 83.3%, with an area under the curve (AUC) of 0.805 (95% CI 0.68-0.93). Procalcitonin presented a sensitivity of 53.9% and specificity of 86.4%, with NPV and PPV of 82.4% and 61.3% respectively, with AUC of 0.752 (95% CI 0.61-0.89). Regarding the PCR, it showed a sensitivity of 100%, with specificity of 4.4% with an area under the curve of 0.676 (95% CI 0.52-0.83). CONCLUSIONS: The quantification of the CD64 index in patients who develop fever in the early postoperative period is useful to distinguish post-surgical inflammatory phenomena from episodes of established infection.