Prognostic Value of C-Reactive Protein in Patients With Coronavirus 2019.

BACKGROUND: An elevated serum C-reactive protein (CRP) level was observed in most patients with coronavirus disease 2019 (COVID-19). METHODS: Data for COVID-19 patients with clinical outcome in a designated hospital in Wuhan, China, were retrospectively collected and analyzed from 30 January 2020 to 20 February 2020. The prognostic value of admission CRP was evaluated in patients with COVID-19. RESULTS: Of 298 patients enrolled, 84 died and 214 recovered. Most nonsurvivors were male, older, or with chronic diseases. Compared with survivors, nonsurvivors showed significantly elevated white blood cell and neutrophil counts, neutrophil to lymphocyte ratio (NLR), systemic immune inflammation index (defined by platelet count multiplied by NLR), CRP, procalcitonin, and D-dimer and showed decreased red blood cell, lymphocyte, and platelet counts. Age, neutrophil count, platelet count, and CRP were identified as independent predictors of adverse outcome. The area under the receiver operating characteristic (ROC) curve (AUC) of CRP (0.896) was significantly higher than that of age (0.833), neutrophil count (0.820), and platelet count (0.678) in outcome prediction (all P < .05). With a cutoff value of 41.4, CRP exhibited sensitivity of 90.5%, specificity of 77.6%, positive predictive value of 61.3%, and negative predictive value of 95.4%. CRP was also an independent discriminator of severe/critical illness on admission with an AUC (0.783) comparable to age (0.828) and neutrophil count (0.729) (both P > .05). CONCLUSIONS: In patients with COVID-19, admission CRP correlated with disease severity and tended to be a good predictor of adverse outcome.

Spectral analysis of heart rate variability for trauma outcome prediction: an analysis of 210 ICU multiple trauma patients.

PURPOSE: This study aimed to test and compare short-term spectral HRV indices with most used trauma scorings in outcome prediction of multiple trauma, and then to explore the efficacy of their combined application. METHODS: A prospective study was conducted for patients with blunt multiple trauma admitted to an emergency intensive care unit (ICU) between January 2016 and December 2017. Short-term spectral HRV indices on admission were measured, including normalized low-frequency power (nLF), normalized high-frequency power (nHF), and the nLF/nHF ratio. Injury severity score (ISS), new injury severity score (NISS), and revised trauma score (RTS) were evaluated for each patient, as well as probability of survival (Ps) by trauma and injury severity score (TRISS) model. The primary outcome was 30-day mortality and secondary outcomes were incidence of multiple organ dysfunction syndrome (MODS) and length of ICU stay. RESULTS: Two hundred and ten patients were recruited. The nLF/nHF ratio, RTS, and Ps(TRISS) were independent predictors of 30-day mortality, while nLF/nHF, NISS and RTS were independent predictors of MODS. The area under the receiver operating characteristic (ROC) curve (AUC) of nLF/nHF for 30-day mortality prediction was 0.924, comparable to RTS (0.951) and Ps(TRISS) (0.892). AUC of nLF/nHF-RTS combination was 0.979, significantly greater than that of each alone. Combination of nLF/nHF and Ps(TRISS) showed an increased AUC (0.984) compared to each of them. The nLF/nHF ratio presented a similar AUC (0.826) to NISS (0.818) or RTS (0.850) for MODS prediction. AUC of nLF/nHF-RTS combination was 0.884, significantly greater than that of nLF/nHF. Combination of nLF/nHF and NISS showed a greater AUC (0.868) than each alone. The nLF/nHF ratio, NISS, RTS, and Ps(TRISS) were correlated with length of ICU stay for survivors, with correlation coefficients 0.476, 0.617, - 0.588, and - 0.539. CONCLUSIONS: These findings suggest that the short-term spectral analysis of HRV might be a potential early tool to assess injury severity and predict outcome of multiple trauma. Combination of nLF/nHF and conventional trauma scores can provide more accuracy in outcome prediction of multiple trauma.