scholarly journals Initial red cell distribution width as a predictor of poor neurological outcomes in out-of-hospital cardiac arrest survivors in a prospective, multicenter observational study (the KoCARC study)

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Seon Hee Woo ◽  
Woon Jeong Lee ◽  
Dae Hee Kim ◽  
Youngsuk Cho ◽  
Gyu Chong Cho

Abstract This study aimed to investigate whether the initial red cell distribution width (RDW) at the emergency department (ED) is associated with poor neurological outcomes in out-of-hospital cardiac arrest (OHCA) survivors. We performed a prospective observational analysis of patients admitted to the ED between October 2015 and June 2018 from the Korean Cardiac Arrest Research Consortium registry. We included OHCA patients who visited the ED and achieved return of spontaneous circulation. Initial RDW values were measured at the time of the ED visit. The primary outcome was a poor neurological (Cerebral Performance Category, or CPC) score of 3–5. A total of 1008 patients were ultimately included in this study, of whom 712 (70.6%) had poor CPC scores with unfavorable outcomes. Higher RDW quartiles (RDW 13.6–14.9%, RDW ≥ 15.0%), older age, female sex, nonshockable initial rhythm at the scene, unwitnessed cardiac arrest, bystander cardiopulmonary resuscitation (CPR), medical history, low white blood cell counts and high glucose levels were associated with poor neurological outcomes in univariate analysis. In multivariate analysis, the highest RDW quartile was independently associated with poor neurological outcomes (odds ratio 2.04; 95% confidence interval 1.12–3.69; p = 0.019) at hospital discharge after adjusting for other confounding factors. Other independent factors including age, initial rhythm, bystander CPR and high glucose were also associated with poor neurological outcomes. These results show that an initial RDW in the highest quartile as of the ED visit is associated with poor neurological outcomes at hospital discharge among OHCA survivors.

PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0199654 ◽  
Author(s):  
Gerdine C. I. von Meijenfeldt ◽  
Maarten J. van der Laan ◽  
Clark J. A. M. Zeebregts ◽  
Kenneth B. Christopher

2014 ◽  
Vol 42 (4) ◽  
pp. 918-929 ◽  
Author(s):  
Steven W. Purtle ◽  
Takuhiro Moromizato ◽  
Caitlin K. McKane ◽  
Fiona K. Gibbons ◽  
Kenneth B. Christopher

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Summer Chavez ◽  
Ryan Huebinger ◽  
Joseph Gill ◽  
Lynn White ◽  
Hei Kit Chan ◽  
...  

Introduction: Nationally, the COVID-19 pandemic was associated with worse OHCA outcomes. Whether these trends persist or were consistent between states is unclear. Purpose: To determine the impact of COVID-19 on OHCA incidence and outcomes in Texas between 2019-2020. Methods: We analyzed adult OHCAs in Texas from the Cardiac Arrest Registry to Enhance Survival (CARES) during a matched period (March 11-December 31 from 2019 through 2020). We excluded cases witnessed by 9-1-1 responders and arrests occurring at healthcare facilities. Outcomes were rates of BCPR, AED use, sustained ROSC, prehospital termination of resuscitation (TOR), survival to hospital, survival to hospital discharge, good neurological outcomes and Utstein bystander survival. We created a mixed effects logistic regression model analyzing the effect of the pandemic on outcomes, using EMS agency as the random intercept. We adjusted for age, gender, race/ethnicity, witnessed arrest, initial rhythm type and location type. Results: There were 8,070 OHCA cases, with 4,443 (55.1%) in the pandemic period (March 11 - December 31, 2020) and 3,627 (44.5%) from March 11 - December 31 2019, a relative 18.4% increase. There was a significantly decreased odds of BCPR (46.2% v 42.2%, aOR = 0.87, 95% CI 0.79-0.95), AED use (13.0% v 7.3%, aOR = 0.53, 95% CI 0.36-0.78), and sustained ROSC (28.8% v 21.2%, aOR = 0.67, 95% CI 0.60-0.74) during the pandemic. Survival to hospital (27.1% v 20.9%, aOR = 0.72, 95% CI 0.65-0.80) and survival to hospital discharge (10.0% v 7.4%, aOR = 0.71, 95% CI 0.64-0.89) also decreased. Prehospital TOR increased (37.3% v 46.7%, aOR = 1.51, 95% CI 1.35-1.67). The pandemic was associated with a lower Utstein bystander survival rate (58.5% v 52.5%, aOR = 0.79, 95% CI 0.6-0.97). Conclusion: In Texas during the COVID-19 pandemic, there was a greater number of OHCA events, with lower overall survival and increased prehospital TOR.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 710
Author(s):  
Francesco Petrella ◽  
Monica Casiraghi ◽  
Davide Radice ◽  
Andrea Cara ◽  
Gabriele Maffeis ◽  
...  

Background: The ratio of hemoglobin to red cell distribution width (HRR) has been described as an effective prognostic factor in several types of cancer. The aim of this study was to investigate the prognostic role of preoperative HRR in resected-lung-adenocarcinoma patients. Methods: We enrolled 342 consecutive patients. Age, sex, surgical resection, adjuvant treatments, pathological stage, preoperative hemoglobin, red cell distribution width, and their ratio were recorded for each patient. Results: Mean age was 66 years (SD: 9.0). There were 163 females (47.1%); 169 patients (49.4%) had tumors at stage I, 71 (20.8%) at stage II, and 102 (29.8%) at stage III. In total, 318 patients (93.0%) underwent lobectomy, and 24 (7.0%) pneumonectomy. Disease-free survival multivariable analysis disclosed an increased hazard ratio (HR) of relapse for preoperative HRR lower than 1.01 (HR = 2.20, 95%CI: (1.30–3.72), p = 0.004), as well as for N1 single-node (HR = 2.55, 95%CI: (1.33–4.90), p = 0.005) and multiple-level lymph node involvement compared to N0 for both N1 (HR = 9.16, 95%CI:(3.65–23.0), p < 0.001) and N2 (HR = 10.5, 95%CI:(3.44–32.2, p < 0.001). Conclusion: Pre-operative HRR is an effective prognostic factor of disease-free survival in resected-lung-adenocarcinoma patients, together with the level of pathologic node involvement.


2021 ◽  
Vol 25 (5) ◽  
pp. 2505-2516
Author(s):  
Maria Aparecida Knychala ◽  
Mario da Silva Garrote‐Filho ◽  
Breno Batista da Silva ◽  
Samantha Neves de Oliveira ◽  
Sarah Yasminy Luz ◽  
...  

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