Early sclerostin assessment in frail elderly patients with sepsis: insights on short- and long-term mortality prediction

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Abstract

Unmet needs challenge clinical management of sepsis especially concerning patient profiling, enhancing recovery, and long-term sequelae. Here, we preliminarily focused on sclerostin (SOST) as a candidate biomarker to encompass such a broad range of clinical needs related to sepsis. Seventy-three septic patients were enrolled at internal medicine wards between January 2017 and December 2019 in this pilot study. Clinical examination and blood sample analyses were collected at enrollment and after 7 and 14 days. SOST levels were assessed on serum by ELISA. Thirty-day mortality was set as primary outcome. In-hospital and long-term mortality (2.5 years of median follow-up) were assessed as secondary outcomes. Patients were frail, elderly, and heterogeneous in terms of comorbidity burden. SOST levels were associated with age, cardiovascular comorbidities, and time to early death (30 days). When regression models were built, SOST displayed a high predictive value toward 30-day mortality (OR 13.459 with 95% CI 1.226–148.017) with ever better performance than validated scoring scales for critical ill patients. Such a predictive value of SOST was further confirmed for in-hospital (HR 10.089 with 95% CI 1.375–74.013) and long-term mortality (HR 5.061 with 95% CI 1.379–18.570). SOST levels generally decreased over 7 to 14 days after enrollment (p for trend < 0.001). The degree of this variation further predicted long-term mortality (HR for Δ SOST T0–day 14: 1.006 with 95% CI 1.001–1.011). Our results suggest a role for SOST in both short- and long-time prediction of worse outcome in septic elderly admitted to internal medicine wards. Graphical abstract: [Figure not available: see fulltext.]

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Tirandi, A., Arboscello, E., Ministrini, S., Liberale, L., Bonaventura, A., Vecchié, A., … Carbone, F. (2023). Early sclerostin assessment in frail elderly patients with sepsis: insights on short- and long-term mortality prediction. Internal and Emergency Medicine, 18(5), 1509–1519. https://doi.org/10.1007/s11739-023-03223-w

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