Literature DB >> 30333435

Renal Function and Outcome of Out-of-Hospital Cardiac Arrest - Multicenter Prospective Study (SOS-KANTO 2012 Study).

Tomoyoshi Tamura1, Masaru Suzuki2, Kei Hayashida1, Junichi Sasaki1, Naohiro Yonemoto3, Atsushi Sakurai4, Yoshio Tahara5, Ken Nagao6, Arino Yaguchi7, Naoto Morimura8.   

Abstract

BACKGROUND: Renal dysfunction is associated with increased cardiovascular-related mortality, but its impact on outcome of out-of-hospital cardiac arrest (OHCA) remains unclear. We assessed whether post-OHCA outcome correlated with renal function early after OHCA. Methods and 
Results: Of the 16,452 registered patients in the SOS-KANTO 2012 Study, 5,112 cardiogenic OHCA adults with creatinine measurement (mean age, 72 years; male, 64%) were examined. First-obtained creatinine was used to assess eGFR. Associations between eGFR groups, ≥60 (n=997), 45-59 (n=1,311), 30-44 (n=1,441), and <30 mL/min/1.73 m2(n=1,363), and 3-month survival and neurological outcomes were examined. Favorable neurological outcome was defined as cerebral performance categories 1 or 2. Survival rate (15.1%, 9.7%, 3.9%, and 2.9%; P<0.001) and proportion of favorable neurological outcome (12.3%, 7.4%, 2.6%, and 2.2%; P<0.001) were determined for eGFR groups ≥60, 45-59, 30-44, and <30 mL/min/1.73 m2, respectively. The survival rate decreased with eGFR (<60 mL/min/1.73 m2), and survival adjusted OR were 0.74 (95% CI: 0.54-1.03), 0.42 (95% CI: 0.28-0.62), and 0.43 (95% CI: 0.28-0.68) for eGFR 45-59, 30-44, and <30 mL/min/1.73 m2, respectively. The adjusted OR for favorable neurological outcome also decreased with eGFR: 0.74 (95% CI: 0.52-1.06), 0.40 (95% CI: 0.25-0.64), and 0.48 (95% CI: 0.29-0.81), respectively.
CONCLUSIONS: An independent and graded association was observed between decreased eGFR and 3-month survival and proportion of favorable neurological outcome in cardiogenic OHCA patients.

Entities:  

Keywords:  Cardiovascular disease; Neurological outcome; Out-of-hospital cardiac arrest; Renal function; Survival

Mesh:

Substances:

Year:  2018        PMID: 30333435     DOI: 10.1253/circj.CJ-18-0631

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  3 in total

1.  Clustering out-of-hospital cardiac arrest patients with non-shockable rhythm by machine learning latent class analysis.

Authors:  Yohei Okada; Sho Komukai; Tetsuhisa Kitamura; Takeyuki Kiguchi; Taro Irisawa; Tomoki Yamada; Kazuhisa Yoshiya; Changhwi Park; Tetsuro Nishimura; Takuya Ishibe; Yoshiki Yagi; Masafumi Kishimoto; Toshiya Inoue; Yasuyuki Hayashi; Taku Sogabe; Takaya Morooka; Haruko Sakamoto; Keitaro Suzuki; Fumiko Nakamura; Tasuku Matsuyama; Norihiro Nishioka; Daisuke Kobayashi; Satoshi Matsui; Atsushi Hirayama; Satoshi Yoshimura; Shunsuke Kimata; Takeshi Shimazu; Shigeru Ohtsuru; Taku Iwami
Journal:  Acute Med Surg       Date:  2022-05-27

2.  Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.

Authors:  Ji Han Heo; Taegyun Kim; Jonghwan Shin; Gil Joon Suh; Joonghee Kim; Yoon Sun Jung; Seung Min Park; Sungwan Kim
Journal:  J Korean Med Sci       Date:  2021-07-19       Impact factor: 2.153

3.  Prognostic Effect of Underlying Chronic Kidney Disease and Renal Replacement Therapy on the Outcome of Patients after Out-of-Hospital Cardiac Arrest: A Nationwide Observational Study.

Authors:  Won Yang; Jae-Guk Kim; Gu-Hyun Kang; Yong-Soo Jang; Wonhee Kim; Hyun-Young Choi; Yoonje Lee
Journal:  Medicina (Kaunas)       Date:  2022-03-18       Impact factor: 2.430

  3 in total

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