Shinichiro Ohshimo

Dr. Shinichiro Ohshimo

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2014 in Respiratory Medicine
Verified
Journal Article
Closed access
SOShinichiro Ohshimo
Shinichiro Ohshimo
NINobuhisa Ishikawa
Nobuhisa Ishikawa
YHYasushi Horimasu
Yasushi Horimasu
NHNoboru Hattori
Noboru Hattori
NHNOBUYUKI HIROHASHI
NOBUYUKI HIROHASHI
UCUlrich Costabel
Ulrich Costabel

28 August 2021 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
Nobuto NakanishiNobuto Nakanishi
Nobuto Nakanishi
KLKEIBUN LIU
KEIBUN LIU
DKDaisuke Kawakami
Daisuke Kawakami
YKYusuke Kawai
Yusuke Kawai
TMTomoyuki Morisawa
Tomoyuki Morisawa
ONOsamu Nishida
Osamu Nishida
Intensive care unit survivors experience prolonged physical impairments, cognitive impairments, and mental health problems, commonly referred to as post-intensive care syndrome (PICS). Previous studies reported the prevalence, assessment, and prevention of PICS, including the ABCDEF bundle approach. Although the management of PICS has been advanced, the outbreak of coronavirus disease 2019 (COVID-19) posed an additional challenge to PICS. The prevalence of PICS after COVID-19 extensively varied with 28–87% of cases pertaining to physical impairments, 20–57% pertaining to cognitive impairments, and 6–60% pertaining to mental health problems after 1–6 months after discharge. Each component of the ABCDEF bundle is not sufficiently provided from 16% to 52% owing to the highly transmissible nature of the virus. However, new data are emerging about analgesia, sedation, delirium care, nursing care, early mobilization, nutrition, and family support. In this review, we summarize the recent data on PICS and its new challenge in PICS after COVID-19 infection.

16 August 2021 in Journal of Intensive Care
Verified
Journal Article
Open access
PDF file
MKMichihito Kyo
Michihito Kyo
TSTatsutoshi Shimatani
Tatsutoshi Shimatani
KHKoji Hosokawa
Koji Hosokawa
STShunsuke Taito
Shunsuke Taito
Yuki KataokaYuki Kataoka
Yuki Kataoka
NSNobuaki Shime
Nobuaki Shime
Background: Patient–ventilator asynchrony (PVA) is a common problem in patients undergoing invasive mechanical ventilation (MV) in the intensive care unit (ICU), and may accelerate lung injury and diaphragm mis-contraction. The impact of PVA on clinical outcomes has not been systematically evaluated. Effective interventions (except for closed-loop ventilation) for reducing PVA are not well established. Methods: We performed a systematic review and meta-analysis to investigate the impact of PVA on clinical outcomes in patients undergoing MV (Part A) and the effectiveness of interventions for patients undergoing MV except for closed-loop ventilation (Part B). We searched the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, ClinicalTrials.gov, and WHO-ICTRP until August 2020. In Part A, we defined asynchrony index (AI) ≥ 10 or ineffective triggering index (ITI) ≥ 10 as high PVA. We compared patients having high PVA with those having low PVA. Results: Eight studies in Part A and eight trials in Part B fulfilled the eligibility criteria. In Part A, five studies were related to the AI and three studies were related to the ITI. High PVA may be associated with longer duration of mechanical ventilation (mean difference, 5.16 days; 95% confidence interval [CI], 2.38 to 7.94; n = 8; certainty of evidence [CoE], low), higher ICU mortality (odds ratio [OR], 2.73; 95% CI 1.76 to 4.24; n = 6; CoE, low), and higher hospital mortality (OR, 1.94; 95% CI 1.14 to 3.30; n = 5; CoE, low). In Part B, interventions involving MV mode, tidal volume, and pressure-support level were associated with reduced PVA. Sedation protocol, sedation depth, and sedation with dexmedetomidine rather than propofol were also associated with reduced PVA. Conclusions: PVA may be associated with longer MV duration, higher ICU mortality, and higher hospital mortality. Physicians may consider monitoring PVA and adjusting ventilator settings and sedatives to reduce PVA. Further studies with adjustment for confounding factors are warranted to determine the impact of PVA on clinical outcomes. Trial registration protocols.io (URL: https://www.protocols.io/view/the-impact-of-patient-ventilator-asynchrony-in-adu-bsqtndwn, 08/27/2020).

1 December 2012 in Respiratory Medicine
Verified
Journal Article
Closed access
YHYasushi Horimasu
Yasushi Horimasu
NHNoboru Hattori
Noboru Hattori
NINobuhisa Ishikawa
Nobuhisa Ishikawa
SKShigeo Kawase
Shigeo Kawase
STSonosuke Tanaka
Sonosuke Tanaka
UCUlrich Costabel
Ulrich Costabel

1 May 2019 in Resuscitation
Verified
Journal Article
Closed access
ELEric J. Lavonas
Eric J. Lavonas
SOShinichiro Ohshimo
Shinichiro Ohshimo
KNKevin Nation
Kevin Nation
PVPatrick Van de Voorde
Patrick Van de Voorde
GNGabrielle Nuthall
Gabrielle Nuthall
GBGlyneva Bradley-Ridout
Glyneva Bradley-Ridout

28 September 2022 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
JHJunji Hatakeyama
Junji Hatakeyama
SIShigeaki Inoue
Shigeaki Inoue
KLKEIBUN LIU
KEIBUN LIU
Kazuma YamakawaKazuma Yamakawa
Kazuma Yamakawa
TNTakeshi Nishida
Takeshi Nishida
KNKensuke Nakamura
Kensuke Nakamura
Introduction: Post-intensive care syndrome (PICS) is an emerging problem in critically ill patients and the prevalence and risk factors are unclear in patients with severe coronavirus disease 2019 (COVID-19). This multicenter prospective observational study aimed to investigate the prevalence and risk factors of PICS in ventilated patients with COVID-19 after ICU discharge. Methods: Questionnaires were administered twice in surviving patients with COVID-19 who had required mechanical ventilation, concerning Barthel Index, Short-Memory Questionnaire, and Hospital Anxiety and Depression Scale scores. The risk factors for PICS were examined using a multivariate logistic regression analysis. Results: The first and second PICS surveys were obtained at 5.5 and 13.5 months (mean) after ICU discharge, with 251 and 209 patients completing the questionnaires and with a prevalence of PICS of 58.6% and 60.8%, respectively, along with the highest percentages of cognitive impairment. Delirium (with an odds ratio of (OR) 2.34, 95% CI 1.1–4.9, and p = 0.03) and the duration of mechanical ventilation (with an OR of 1.29, 95% CI 1.05–1.58, and p = 0.02) were independently identified as the risk factors for PICS in the first PICS survey. Conclusion: Approximately 60% of the ventilated patients with COVID-19 experienced persistent PICS, especially delirium, and required longer mechanical ventilation.