Red blood cell distribution width predicts in-hospital mortality in patients with a primary diagnosis of seizures in the ICU: a retrospective database study

被引:4
作者
She, Yingfang [1 ]
Li, Yide [2 ]
Chen, Shuda [1 ]
Chen, Ying [1 ]
Zhou, Liemin [1 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 7, Neurol Med Ctr, Shenzhen, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 7, Dept Crit Care Med, Shenzhen, Peoples R China
关键词
Seizure; Red blood cell distribution width; Intensive care unit; In-hospital mortality; eICU-CRD database; OXIDATIVE STRESS; HEART-FAILURE; LYMPHOCYTE RATIO; ACUTE PHYSIOLOGY; EPILEPSY; INFLAMMATION; IMPROVES; DISEASE; COHORT; SCORE;
D O I
10.1007/s10072-021-05305-z
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose The aim of this study was to determine the predictive value of red blood cell distribution width (RDW) in patients with a primary diagnosis of seizures admitted to the intensive care unit (ICU) in terms of in-hospital mortality. Methods This was a retrospective study of the eICU Collaborative Research Database of adult patients (aged 18-88 years) with a primary diagnosis of seizures in 2014 and 2015. The prognostic value of RDW was investigated using a receiver operating characteristic (ROC) curve, multiple logistic regression model, and net reclassification index (NRI). Results We identified 1568 patients who met the inclusion criteria. High RDW was significantly correlated with in-hospital mortality after adjusting for potential confounders with an odds ratio (OR) of 3.513 (95% confidence interval [CI]:1.699-7.266). The area under the ROC curve of RDW for in-hospital mortality was 0.7225. Compared with the prediction of in-hospital mortality using APACHE IV score alone, the continuous NRI with the RDW variable was 0.3507 (95%CI: 0.0584-0.6431, p < 0.05). The length of stay in the ICU of patients with an RDW >14.65% was significantly increased compared to those with normal RDW (log-rank test, p < 0.0001). Conclusion RDW width can be useful for prediction of in-hospital mortality in patients with seizures admitted to the ICU, and it provides additional prognostic value beyond the APACHE IV score alone.
引用
收藏
页码:499 / 506
页数:8
相关论文
共 42 条
[1]   Improving risk prediction in heart failure using machine learning [J].
Adler, Eric D. ;
Voors, Adriaan A. ;
Klein, Liviu ;
Macheret, Fima ;
Braun, Oscar O. ;
Urey, Marcus A. ;
Zhu, Wenhong ;
Sama, Iziah ;
Tadel, Matevz ;
Campagnari, Claudio ;
Greenberg, Barry ;
Yagil, Avi .
EUROPEAN JOURNAL OF HEART FAILURE, 2020, 22 (01) :139-147
[2]   The production of IL-6 in acute epileptic seizure: A video-EEG study [J].
Alapirtti, Tiina ;
Lehtimaki, Kai ;
Nieminen, Riina ;
Makinen, Riikka ;
Raitanen, Jani ;
Moilanen, Eeva ;
Makinen, Jussi ;
Peltola, Jukka .
JOURNAL OF NEUROIMMUNOLOGY, 2018, 316 :50-55
[3]   The economic cost of epilepsy: A review of the literature [J].
Begley, CE ;
Beghi, E .
EPILEPSIA, 2002, 43 :3-9
[4]   VALIDATION OF A COMBINED COMORBIDITY INDEX [J].
CHARLSON, M ;
SZATROWSKI, TP ;
PETERSON, J ;
GOLD, J .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1994, 47 (11) :1245-1251
[5]   Charlson Comorbidity Index Score and Risk of Severe Outcome and Death in Danish COVID-19 Patients [J].
Christensen, Daniel Molager ;
Strange, Jarl Emanuel ;
Gislason, Gunnar ;
Torp-Pedersen, Christian ;
Gerds, Thomas ;
Fosbol, Emil ;
Phelps, Matthew .
JOURNAL OF GENERAL INTERNAL MEDICINE, 2020, 35 (09) :2801-2803
[6]   DIFFERENTIATION OF PERNICIOUS ANEMIA AND CERTAIN OTHER MACROCYTIC ANEMIAS BY THE DISTRIBUTION OF RED BLOOD CELL DIAMETERS [J].
DALAND, GA ;
HEATH, CW ;
MINOT, GR .
BLOOD, 1946, 1 (01) :67-75
[7]  
Deswal A, 2001, CIRCULATION, V103, P2055
[8]  
EVANS T C, 1991, Journal of Emergency Medicine, V9, P71, DOI 10.1016/0736-4679(91)90592-4
[9]   Prevalence and incidence of epilepsy A systematic review and meta-analysis of international studies [J].
Fiest, Kirsten M. ;
Sauro, Khara M. ;
Wiebe, Samuel ;
Patten, Scott B. ;
Kwon, Churl-Su ;
Dykeman, Jonathan ;
Pringsheim, Tamara ;
Lorenzetti, Diane L. ;
Jette, Nathalie .
NEUROLOGY, 2017, 88 (03) :296-303
[10]   Red cell distribution width in heart failure: Prediction of clinical events and relationship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state [J].
Forhecz, Zsolt ;
Gombos, Timea ;
Borgulya, Gabor ;
Pozsonyi, Zoltan ;
Prohaszka, Zoltan ;
Janoskuti, Livia .
AMERICAN HEART JOURNAL, 2009, 158 (04) :659-666