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Hee Soo Shin

Yonsei University · 医学

研究室紹介

Professor Hee Soo Shin's research lab specializes in perioperative critical care and respiratory physiology, with a focus on optimizing pulmonary and cardiac outcomes in high-risk surgical patients. The lab investigates ventilation-perfusion mismatch, oxygenation dynamics, and the impact of non-anemic iron deficiency on surgical outcomes, particularly in patients undergoing cardiac surgery. Key research directions include the application of machine learning to predict acute kidney injury and the evaluation of inhaled therapies like iloprost to improve respiratory and hemodynamic function during one-lung ventilation. The lab also examines indoor air quality and ventilation efficiency in confined environments, linking environmental factors to physiological outcomes.

perioperative medicineacute kidney injuryventilation-perfusion mismatchiron deficiencymachine learning in surgery

Research Overview

Papers
4
Total Citations
15
Papers (5y)
4
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
4total
2005
2020
2025
2026
Citations per year (5y)
15total
2005202020252026

Selected Papers

4
1
Article|13 citations·2020
Effects of Inhaled Iloprost on Lung Mechanics and Myocardial Function During One-Lung Ventilation in Chronic Obstructive Pulmonary Disease Patients Combined With Poor Lung Oxygenation
Namo Kim, Su Hyun Lee, Young‐Eun Joe, Tae Lim Kim, Heesoo Shin, Young Jun Oh
SJR Q1Anesthesia & AnalgesiaOA

BACKGROUND: The ventilation/perfusion mismatch in chronic obstructive pulmonary disease (COPD) patients can exacerbate cardiac function as well as pulmonary oxygenation. We hypothesized that inhaled iloprost can ameliorate pulmonary oxygenation with lung mechanics and myocardial function during one-lung ventilation (OLV) in COPD patients combined with poor lung oxygenation. METHODS: A total of 40 patients with moderate to severe COPD, who exhibited the ratio of partial pressure of arterial oxyge

Pulmonary and Respiratory MedicineMedicine
2
Article|2 citations·2025
Association between non-anemic iron deficiency and outcomes following off-pump coronary artery bypass surgery: a retrospective analysis
Heesoo Shin, H. Kim, Jae‐Kwang Shim, Jong Wook Song, Seo Hee Ko, Young Lan Kwak
SJR Q1Korean journal of anesthesiologyOA

BACKGROUND: Non-anemic iron deficiency (ID) may be harmful during cardiac surgery with cardiopulmonary bypass. However, its impact on off-pump coronary artery bypass (OPCAB) remains unclear. This study examined the association between non-anemic ID and outcomes following OPCAB. METHODS: This single-center retrospective study included non-anemic patients who underwent OPCAB between November 2016 and May 2023. Patients were classified by preoperative ID status, defined as serum ferritin < 100 μg/L

BiochemistryMedicine
3
Article|0 citations·2005
환기설비가 설치된 교실의 실내 공기질 평가
Heesoo Shin, 여창신, 변상현, Young-Chull Ahn, Jae-Keun Lee, Park Hyo Soon, 김병순, 이감규, 강태욱

This paper describes to evaluate the performance of ventilation as a change of CO2 concentration with ventilation rate under 35 occupants in a school classroom. Variations of the CO2 concentration as a function of time are measured at center point of classroom with air ventilation rates by the CO2 gas monitor. For 800 m3/h of ventilation rate in the classroom, the average CO2 concentration is 913 ppm. The ventilation rate is sufficient to meet acceptable indoor air quality (≤ 1,000 ppm of CO2, K

Safety ResearchSocial Sciences
4
Article|0 citations·2026
Dynamic machine learning prediction of persistent AKI after cardiac surgery with modifiable perioperative risk factors
Changho Han, Hyun Chul Kim, Jong Wook Song, Heesoo Shin, Young-Lan Kwak, Sarah Soh, Dukyong Yoon
SJR Q1iScienceOA

Early identification and prevention of persistent acute kidney injury (pAKI) remain challenging due to delayed biochemical markers and limited tools to differentiate between transient and persistent forms. We retrospectively analyzed data of 2,285 patients who underwent cardiac surgery with cardiopulmonary bypass (CPB) and developed 3 machine learning (ML) models for predicting pAKI: model 1 (preoperative data); model 2 (intraoperative and immediate postoperative variables); and model 3 (data up

Cardiology and Cardiovascular MedicineMedicine

Research Areas

Pulmonary and Respiratory MedicineBiochemistryCardiology and Cardiovascular MedicineSafety Research

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