Hannah Lee

Prof. Dr. Hannah Lee


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 March 2015 in Anaesthesia and Intensive Care
Verified
Journal Article
Open access
PDF file
HLHannah Lee
Hannah Lee
CLC. W. Lim
C. W. Lim
HHH. P. Hong
H. P. Hong
JJJ. W. Ju
J. W. Ju
YJY. T. Jeon
Y. T. Jeon
HPHee-Pyoung Park
Hee-Pyoung Park
In this study, we evaluated the efficacy of the discharge Acute Physiology and Chronic Health Evaluation (APACHE) II score in predicting post-intensive care unit (ICU) mortality and ICU readmission during the same hospitalisation in a surgical ICU. Of 1190 patients who were admitted to the ICU and stayed >48 hours between October 2007 and March 2010, 23 (1.9%) died and 86 (7.2%) were readmitted after initial ICU discharge, with 26 (3.0%) admitted within 48 hours. The area under the receiver operating characteristics curve of the discharge and admission APACHE II scores in predicting in-hospital mortality was 0.631 (95% confidence interval [CI] 0.603 to 0.658) and 0.669 (95% CI 0.642 to 0.696), respectively (P=0.510). The area under the receiver operating characteristics curve of discharge and admission APACHE II scores for predicting all forms of readmission was 0.606 (95% CI 0.578 to 0.634) and 0.574 (95% CI 0.545 to 0.602), respectively (P=0.316). The area under the receiver operating characteristics curve of discharge APACHE II score in predicting early ICU readmissions was, however, higher than that of admission APACHE II score (0.688 [95% CI 0.660 to 0.714] versus 0.505 [95% CI 0.476 to 0.534], P=0.001). The discharge APACHE II score (odds ratio [OR] 1.1, 95% CI 1.01 to 1.22, P=0.024), unplanned ICU readmission (OR 20.0, 95% CI 7.6 to 53.1, P=0.001), eosinopenia at ICU discharge (OR 6.0, 95% CI 1.34 to 26.9, P=0.019), and hospital length-of-stay before ICU admission (OR 1.02, 95% CI 1.01 to 1.03, P=0.021) were significant independent factors in predicting post-ICU mortality. This study suggests that the discharge APACHE II score may be useful in predicting post-ICU mortality and is superior to the admission APACHE II score in predicting early ICU readmission in surgical ICU patients.

1 January 2014 in Korean Journal of Anesthesiology
Verified
Journal Article
Open access
PDF file
HLHannah Lee
Hannah Lee
YSYoon-Jung Shon
Yoon-Jung Shon
HKHyerim Kim
Hyerim Kim
HPHyesun Paik
Hyesun Paik
HPHee-Pyoung Park
Hee-Pyoung Park
Lee H, et al. Korean J Anesthesiol. 2014 Aug;67(2):115-122. http://dx.doi.org/10.4097/kjae.2014.67.2.115

1 July 2018 in Surgery
Verified
Journal Article
Open access
HLHannah Lee
Hannah Lee
JJJae-Woo Ju
Jae-Woo Ju
SOSeung-Young Oh
Seung-Young Oh
JKJeongsoo Kim
Jeongsoo Kim
CJChul Jung
Chul Jung
HRHo-Geol Ryu
Ho-Geol Ryu
Recent reports suggest that not all critically ill patients with delirium share the same consequences. The outcomes of surgical intensive care unit patients with postoperative delirium were evaluated depending on the onset and duration of delirium. A total of 527 patients who were admitted from the operating theater and cared for in the surgical intensive care unit for >24 hours were evaluated for delirium using the Confusion Assessment Method for intensive care unit, 3 times a day. Patients were analyzed according to the onset time and duration of delirium. Patients were classified into 4 groups according to the onset and duration of delirium: no delirium, early brief delirium (delirium for <1 day on postoperative day 0), late brief delirium (delirium for 24 hours (persistent). Persistent delirium was associated with longer intensive care unit (4.6 [1.1-53.3] vs 1.6 [1.1-37.5] days) and hospital duration of stay (24 [3-112] vs 16 [2-225] days) and higher hospital mortality (14.5% vs 2.2%) compared to no delirium (P < .01). For postoperative intensive care unit patients, intensive care unit and hospital duration of stay did not seem to differ between patients with early brief delirium or no delirium, whereas patients with late brief or persistent delirium seemed to show longer intensive care unit and hospital duration of stay and higher mortality.

12 February 2024 in BMC Infectious Diseases
Verified
Journal Article
Open access
PDF file
CKChristine Kang
Christine Kang
SCSeongmi Choi
Seongmi Choi
EJEun Jin Jang
Eun Jin Jang
SJSomin Joo
Somin Joo
JJJae Hoon Jeong
Jae Hoon Jeong
HLHannah Lee
Hannah Lee
Chronic comorbid conditions are common in patients with sepsis and may affect the outcomes. This study aimed to evaluate the prevalence and outcomes of common comorbidities in patients with sepsis. We conducted a nationwide retrospective cohort study. Using data from the National Health Insurance Service of Korea. Adult patients (age ≥ 18 years) who were hospitalized in tertiary or general hospitals with a diagnosis of sepsis between 2011 and 2016 were analyzed. After screening of all International Classification of Diseases 10th revision codes for comorbidities, we identified hypertension, diabetes mellitus (DM), liver cirrhosis (LC), chronic kidney disease (CKD), and malignancy as prevalent comorbidities. Overall, 373,539 patients diagnosed with sepsis were hospitalized in Korea between 2011 and 2016. Among them, 46.7% had hypertension, 23.6% had DM, 7.4% had LC, 13.7% had CKD, and 30.7% had malignancy. In-hospital mortality rates for patients with hypertension, DM, LC, CKD, and malignancy were 25.5%, 25.2%, 34.5%, 28.0%, and 33.3%, respectively, showing a decreasing trend over time (P < 0.001). After adjusting for baseline characteristics, male sex, older age, use of mechanical ventilation, and continuous renal replacement therapy, LC, CKD, and malignancy were significantly associated with in-hospital mortality. Hypertension is the most prevalent comorbidity in patients with sepsis, and it is associated with an increased survival rate. Additionally, liver cirrhosis, chronic kidney disease, and malignancy result in higher mortality rates than hypertension and DM, and are significant risk factors for in-hospital mortality in patients with sepsis.

21 May 2014 in Anaesthesia
Verified
Journal Article
Open access
PDF file
YCY. J. Cho
Y. J. Cho
HRH. Ryu
H. Ryu
JLJ. Lee
J. Lee
IPI. K. Park
I. K. Park
YKY. T. Kim
Y. T. Kim
YJYunseok Jeon
Yunseok Jeon
Summary: Lung resection surgery has been associated with numerous postoperative complications. Seventy‐eight patients scheduled for elective video‐assisted thoracoscopic lung resection were randomly assigned to receive standard postoperative care with incentive spirometry or standard care plus positive vibratory expiratory pressure treatment using the Acapella ® device. There was no significant difference between incentive spirometry and the Acapella device in the primary outcome, forced expiratory volume in 1 s, on the third postoperative day, mean (SD) 53% (16%) vs 59% (18%) respectively, p = 0.113. Patients treated with both devices simultaneously found incentive spirometry to be less comfortable compared with the Acapella device, using a numeric rating scale from 1 to 5 with lower scores indicating higher comfort, median (IQR [range]) 3 (2–3 [2–4]) vs 1 (1–2 [1–3]) respectively, p < 0.001. In addition, 37/39 patients (95%) stated a clear preference for the Acapella device. Postoperative treatment with the Acapella device did not improve pulmonary function after thoracoscopic lung resection surgery compared with incentive spirometry, but it may be more comfortable to use.

1 November 2013 in World Journal of Surgery
Verified
Journal Article
Closed access
PDF file
JLJi‐Hyun Lee
Ji‐Hyun Lee
HLHyung‐Chul Lee
Hyung‐Chul Lee
YJYoung‐Tae Jeon
Young‐Tae Jeon
JHJung‐Won Hwang
Jung‐Won Hwang
HLHannah Lee
Hannah Lee
HPHee-Pyoung Park
Hee-Pyoung Park