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Title: | Combining quick sequential organ failure assessment score with heart rate variability may improve predictive ability for mortality in septic patients at the emergency department | Authors: | Prabhakar, S.M. Tagami, T. Liu, N. Samsudin, M.I. Ng, J.C.J. Koh, Z.X. Ong, M.E.H. |
Issue Date: | 2019 | Publisher: | Public Library of Science | Citation: | Prabhakar, S.M., Tagami, T., Liu, N., Samsudin, M.I., Ng, J.C.J., Koh, Z.X., Ong, M.E.H. (2019). Combining quick sequential organ failure assessment score with heart rate variability may improve predictive ability for mortality in septic patients at the emergency department. PLoS ONE 14 (3) : e0213445. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0213445 | Rights: | Attribution 4.0 International | Abstract: | Background Although the quick Sequential Organ Failure Assessment (qSOFA) score was recently introduced to identify patients with suspected infection/sepsis, it has limitations as a predictive tool for adverse outcomes. We hypothesized that combining qSOFA score with heart rate variability (HRV) variables improves predictive ability for mortality in septic patients at the emergency department (ED). Methods This was a retrospective study using the electronic medical record of a tertiary care hospital in Singapore between September 2014 and February 2017. All patients aged 21 years or older who were suspected with infection/sepsis in the ED and received electrocardiography monitoring with ZOLL X Series Monitor (ZOLL Medical Corporation, Chelmsford, MA) were included. We fitted a logistic regression model to predict the 30-day mortality using one of the HRV variables selected from one of each three domains those previously reported as strong association with mortality (i.e. standard deviation of NN [SDNN], ratio of low frequency to high frequency power [LF/HF], detrended fluctuation analysis ?-2 [DFA ?-2]) in addition to the qSOFA score. The predictive accuracy was assessed with other scoring systems (i.e. qSOFA alone, National Early Warning Score, and Modified Early Warning Score) using the area under the receiver operating characteristic curve. Results A total of 343 septic patients were included. Non-survivors were significantly older (survivors vs. non-survivors, 65.7 vs. 72.9, p <0.01) and had higher qSOFA (0.8 vs. 1.4, p <0.01) as compared to survivors. There were significant differences in HRV variables between survivors and non-survivors including SDNN (23.7s vs. 31.8s, p = 0.02), LF/HF (2.8 vs. 1.5, p = 0.02), DFA ?-2 (1.0 vs. 0.7, P < 0.01). Our prediction model using DFA-?-2 had the highest c-statistic of 0.76 (95% CI, 0.70 to 0.82), followed by qSOFA of 0.68 (95% CI, 0.62 to 0.75), National Early Warning Score at 0.67 (95% CI, 0.61 to 0.74), and Modified Early Warning Score at 0.59 (95% CI, 0.53 to 0.67). Conclusions Adding DFA-?-2 to the qSOFA score may improve the accuracy of predicting in-hospital mortality in septic patients who present to the ED. Further multicenter prospective studies are required to confirm our results. © 2019 Prabhakar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | Source Title: | PLoS ONE | URI: | https://scholarbank.nus.edu.sg/handle/10635/206354 | ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0213445 | Rights: | Attribution 4.0 International |
Appears in Collections: | Elements Staff Publications |
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