Clinical Outcomes and Independent Risk Factors for 90-Day Mortality in Critically Ill Patients with Respiratory Failure Infected with SARS-CoV-2: A Multicenter Study in Turkish Intensive Care Units.

BACKGROUND: There are limited data on the long-term outcomes of COVID-19 from different parts of the world. AIMS: To determine risk factors of 90-day mortality in critically ill patients in Turkish intensive care units (ICUs), with respiratory failure. STUDY DESIGN: Retrospective, observational cohort. METHODS: Patients with laboratory-confirmed COVID-19 and who had been followed up in the ICUs with respiratory failure for more than 24 hours were included in the study. Their demographics, clinical characteristics, laboratory variables, treatment protocols, and survival data were recorded. RESULTS: A total of 421 patients were included. The median age was 67 (IQR: 57-76) years, and 251 patients (59.6%) were men. The 90-day mortality rate was 55.1%. The factors independently associated with 90-day mortality were invasive mechanical ventilation (IMV) (HR 4.09 [95% CI: [2.20-7.63], P < .001), lactate level >2 mmol/L (2.78 [1.93-4.01], P < .001), age ≥60 years (2.45 [1.48-4.06)], P < .001), cardiac arrhythmia during ICU stay (2.01 [1.27-3.20], P = .003), vasopressor treatment (1.94 [1.32-2.84], P = .001), positive fluid balance of ≥600 mL/day (1.68 [1.21-2.34], P = .002), PaO2/FiO2 ratio of ≤150 mmHg (1.66 [1.18-2.32], P = .003), and ECOG score ≥1 (1.42 [1.00-2.02], P = .050). CONCLUSION: Long-term mortality was high in critically ill patients with COVID-19 hospitalized in intensive care units in Turkey. Invasive mechanical ventilation, lactate level, age, cardiac arrhythmia, vasopressor therapy, positive fluid balance, severe hypoxemia and ECOG score were the independent risk factors for 90-day mortality.

Prognostic value of C-reactive protein to albumin ratio in patients resuscitated from out-of-hospital cardiac arrest.

BACKGROUND: Despite major advances in basic and advanced life supports, patients who survived from out-of-hospital cardiac arrest (OHCA) have still poor prognosis. Several inflammatory parameters have been used to determine early and long-term prognosis in patients with OHCA. C-reactive protein-to-albumin ratio (CAR) is also a novel marker of systemic inflammation. To our knowledge, there is no study evaluating the clinical importance of CAR in OHCA patients. AIMS: To evaluate the effect of CAR on in-hospital mortality in patients with OHCA. METHODS: A total of 102 patients with OHCA were included in this study. The study population was divided into two groups as survivour (n = 43) and non-survivour (n = 59) during follow-up. Complete blood cell counts, biochemical and blood gas analyses were recorded for all patients. Neutrophil to lymphocyte ratio (NLR) was calculated as the ratio of neutrophil to lymphocyte. CAR was calculated as the ratio of C-reactive protein to the albumin. RESULTS: NLR (P = .012), CAR (P < .001) and serum lactate level (P = .002) were significantly higher whereas lymphocyte (P = .008) and serum albumin (P < .001) were significantly lower in the non-survivour group compared with the survivour group. Multivariate logistic regression analysis showed that NLR (odds ratio [OR]: 1.044, 95% confidence interval [CI]: 1.044-1.437, P = .013), CAR (OR: 1.971, 95% CI: 1.327-2.930, P = .001) and lactate level (OR: 1.268, 95% CI: 1.095-1.469, P = .002) were independent predictors of in-hospital mortality. CONCLUSIONS: We have demonstrated for the first time that CAR was an independent predictor of in-hospital mortality in OHCA patients.

Can Ferritin Levels Predict the Severity of Illness in Patients With COVID-19?

OBJECTIVES: This study aimed to investigate whether ferritin level can predict the severity of coronavirus disease 2019 (COVID-19). BACKGROUND: The COVID-19 pandemic has been challenging for both patients and caregivers. Many laboratory markers have been used to better understand the causes of poor outcomes and to improve the management of COVID-19 patients. METHODS: A total of 93 patients who had a positive polymerase chain reaction test result for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were included in this study. Demographic features, comorbidities, clinical and laboratory findings were obtained from the hospital database retrospectively. Patients were divided into two groups according to the disease severity as follows: mild group (n = 70) and severe group (n = 23). RESULTS: The median age of the study population was 42.5 (28.3-62.8) with 69.9% male patients. Patients in the severe group were significantly older and showed a higher frequency of hypertension, diabetes mellitus, coronary artery disease, and heart failure in comparison with those in the mild group. In addition, gamma-glutamyl transferase, C-reactive protein, ferritin, interleukin-6, procalcitonin, and neutrophil to lymphocyte ratio were higher whereas albumin level was lower in patients in the severe group. Linear regression analysis demonstrated that ferritin level was the only significant predictor of disease severity (ß = 0.487, t = 2.993, p = 0.004). In receiver operator characteristics curve analysis, ferritin level ≥264.5 ng/mL predicted severe COVID-19 with a sensitivity of 73.9% and specificity of 94.2%. CONCLUSION: Early analysis of ferritin levels in patients with COVID-19 might effectively predict the disease severity.