Literature DB >> 35221756

Estimation of Postcardiac Arrest Interval Based on Atrial Cavity Density in Postmortem Computed Tomography.

Motoo Yoshimiya1,2, Takahiro Ueda1, Tomofumi Ogoshi1, Dawa Zangpo2, Masato Nakatome2, Morio Iino2.   

Abstract

BACKGROUND: Intracardiac hypostasis is frequently observed in postmortem computed tomography (PMCT) of acute deaths, and it becomes clearer as the postmortem interval increases. To determine the postcardiac arrest interval (PCAI), we evaluated densities of the right and left atria [anterior part of the right atrium (AR) and posterior part of the left atrium (PL)] using postmortem computed tomographic images.
METHODS: A total of 184 patients were included in the study. Patients with return of spontaneous circulation and those with final alive confirmation time over 1 hour were excluded. We evaluated the density of AR and PL at the level of the right inferior pulmonary vein entry to the left atrium. We defined the interval between the estimated cardiac arrest time and the postmortem CT time as the PCAI.
RESULTS: There was a negative correlation between AR and PCAI in 59 patients who died owing to cardiovascular disease. The regression equation (PCAI = -1.725 × AR + 132.95) was obtained based on this result. There was no correlation between PL and PCAI.
CONCLUSION: The result suggests that the density of the anterior part of the right atrium decreases as postcardiac arrest interval increases in the case of cardiovascular disease. The regression equation may be used as an additional method to estimate postcardiac arrest interval. ©2022 Tottori University Medical Press.

Entities:  

Keywords:  chest compression hemodynamics; postcardiac arrest interval; resuscitation

Year:  2022        PMID: 35221756      PMCID: PMC8857679          DOI: 10.33160/yam.2022.02.001

Source DB:  PubMed          Journal:  Yonago Acta Med        ISSN: 0513-5710            Impact factor:   1.641


  16 in total

1.  Postmortem intravascular high-density fluid level (hypostasis): CT findings.

Authors:  Seiji Shiotani; Mototsugu Kohno; Noriyoshi Ohashi; Kentaroh Yamazaki; Yuji Itai
Journal:  J Comput Assist Tomogr       Date:  2002 Nov-Dec       Impact factor: 1.826

2.  Estimation of post mortem interval by tomographic images of intra-cardiac hypostasis.

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Journal:  J Forensic Leg Med       Date:  2016-01-11       Impact factor: 1.614

3.  Estimation of postmortem time based on aorta narrowing in CT imaging.

Authors:  Noboru Ishikawa; Atsushi Nishida; Daisuke Miyamori; Toshikazu Kubo; Hiroshi Ikegaya
Journal:  J Forensic Leg Med       Date:  2013-10-09       Impact factor: 1.614

4.  Time-related course of pleural space fluid collection and pulmonary aeration on postmortem computed tomography (PMCT).

Authors:  Hideki Hyodoh; Jyunya Shimizu; Satoshi Watanabe; Shunichiro Okazaki; Keisuke Mizuo; Hiromasa Inoue
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5.  Fluidity of cadaveric blood after sudden death: Part I. Postmortem fibrinolysis and plasma catecholamine level.

Authors:  S Takeichi; C Wakasugi; I Shikata
Journal:  Am J Forensic Med Pathol       Date:  1984-09       Impact factor: 0.921

6.  Fluidity of cadaveric blood after sudden death: Part II. Mechanism of release of plasminogen activator from blood vessels.

Authors:  S Takeichi; C Wakasugi; I Shikata
Journal:  Am J Forensic Med Pathol       Date:  1985-03       Impact factor: 0.921

7.  Investigation of the freely available easy-to-use software 'EZR' for medical statistics.

Authors:  Y Kanda
Journal:  Bone Marrow Transplant       Date:  2012-12-03       Impact factor: 5.483

8.  Regional blood flow during closed-chest cardiac resuscitation in rats.

Authors:  C Duggal; M H Weil; R J Gazmuri; W Tang; S Sun; F O'Connell; M Ali
Journal:  J Appl Physiol (1985)       Date:  1993-01

Review 9.  Mechanical chest compression for out of hospital cardiac arrest: Systematic review and meta-analysis.

Authors:  Simon Gates; Tom Quinn; Charles D Deakin; Laura Blair; Keith Couper; Gavin D Perkins
Journal:  Resuscitation       Date:  2015-07-17       Impact factor: 5.262

10.  Increased Fibrinolysis as a Specific Marker of Poor Outcome After Cardiac Arrest.

Authors:  Nina Buchtele; Christian Schörgenhofer; Alexander O Spiel; Bernd Jilma; Michael Schwameis
Journal:  Crit Care Med       Date:  2018-10       Impact factor: 7.598

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