[Related factors of euthyroid sick syndrome in patients with sepsis].

OBJECTIVE: To evaluate the prevalence of euthyroid sick syndrome (ESS) in sepsis patients and to explore its influencing factors. METHODS: In the study, 365 patients diagnosed with sepsis in the emergency critical care department of Shanghai First People's Hospital from January 2017 to January 2023 were retrospectively enrolled. The patients were divided into ESS and non-ESS groups based on whether the patients were complicated with ESS.Baseline variables and relevant clinical data of the enrolled patients were collected. The prevalence of ESS in sepsis patients and its influencing factors were evaluated by multivariate Logistic regression analysis, and the 30-day survival rates were compared between the two groups. The optimal cutoff value for free triiodothyronine (FT3) was explored to predict death in the patients with sepsis. RESULTS: There were 103 sepsis patients with ESS, accounting for 28.2% of the total cases. The severity of sepsis in ESS group was significantly higher than that in non-ESS group (P < 0.05). The acute physiology and chronic health evaluationⅡ(APACHEⅡ)score and sequential organ failure assessment (SOFA) score of ESS group were significantly higher than those of non-ESS group (P < 0.05). C-reactive protein (CRP), procalcitonin (PCT), serum amyloid A (SAA) and interleukin-6 (IL-6) in ESS group were higher than those in non-ESS group. total cholesterol(TC)and high-density liptein cholesterol(HDL-C)in ESS group were lower than those in non-ESS group, and the differences were statistically significant (P < 0.05).Multivariate Logistic regression analysis showed that PCT, IL-6, CRP, SAA and activated partial thromboplatin time (APTT) were independent risk factors for ESS in the sepsis patients (OR values were 1.105, 1.006, 1.005, 1.009 and 1.033, respectively; 95% CI were 1.044-1.170, 1.001-1.012, 1.001-1.009, 1.005-1.014, 1.004-1.062, respectively, P < 0.05).The 30-day survival rate in ESS group was significantly lower than that in non-ESS group, the Long-rank chi-square test value was 16.611, and the difference was statistically significant (P < 0.05).The receiver operation characteristic area under the curve (AUCROC)of FT3 predicted death in the patients with sepsis was 0.924 (95% CI 0.894-0.954). The serum FT3 cutoff point was 3.705 pmol/L, the specificity was 0.868, and the sensitivity was 0.950. CONCLUSION: In this study, the incidence of ESS in sepsis patients was determined to be 28.2% with poor prognosis. The results showed that PCT, IL-6, CRP, SAA and APTT were independent risk factors for ESS in sepsis patients, while HDL-C was a protective factor (P < 0.05). FT3 is a novel potential biomarker for predicting death in patients with sepsis.

Euthyroid Sick Syndrome as a Prognostic Indicator of COVID-19 Pulmonary Involvement, Associated With Poorer Disease Prognosis and Increased Mortality.

OBJECTIVE: The prevalence of euthyroid sick syndrome (ESS) and its association with the prognosis of COVID-19 and mortality in patients with lung involvement in COVID-19 have not yet been elucidated. METHODS: Clinical and laboratory data of patients with COVID-19 with or without ESS were collected retrospectively and analyzed on admission. All subjects were admitted to the Department of Internal Diseases and Clinical Pharmacology at Bieganski Hospital between December 2020 and April 2021. RESULTS: In total, 310 medical records of patients with COVID-19 were analyzed retrospectively. Among 215 enrolled patients, 82 cases of ESS were diagnosed. The patients with ESS had higher pro-inflammatory factor levels, longer hospitalizations, and a higher risk of requiring high-flow nasal oxygen therapy or intubation than the patients without ESS. The Kaplan-Meier curve indicated that the patients with ESS had a lower probability of survival when computed tomography showed ≤50% parenchymal involvement compared with that in patients without ESS. However, no differences in mortality were noted in those with more than 50% parenchymal involvement. The survival curve showed that ESS was associated with a higher risk of mortality during hospitalization. CONCLUSION: ESS is closely associated with a poor prognosis, including longer hospitalizations, more frequent intubation, transfer to the intensive care unit, and a higher mortality rate in patients with COVID-19. ESS is a potential prognostic predictor of survival, regardless of lung involvement in COVID-19.