- Tissue Perfusion and the Braden Scale as Predictors of Pressure Injury Risk in the Intensive Care Unit Patient
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Wong E, Visperas S, Choi SY, Suapaia M
- KMID: 2548181
- J Acute Care Surg.
- 2023 Nov;13(3):112-117.
- doi: 10.17479/jacs.2023.13.3.112
Purpose: The national rate of pressure injury (PI) in the intensive care unit (ICU) 2016-2018 was 5.97%, while at one hospital in Honolulu, Hawaii it averaged 13%. The Braden scale... -
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- Machine Learning for Benchmarking Critical Care Outcomes
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Atallah L, Nabian M, Brochini L, Amelung PJ
- KMID: 2547683
- Healthc Inform Res.
- 2023 Oct;29(4):301-314.
- doi: 10.4258/hir.2023.29.4.301
Objectives: Enhancing critical care efficacy involves evaluating and improving system functioning. Benchmarking, a retrospective comparison of results against standards, aids risk-adjusted assessment and helps healthcare providers identify areas for improvement... -
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- Analysis of the factors associated with survival to hospital discharge in adult patients with cardiac arrest in the emergency department
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Jung J, Ryu JH, Min MK, Lee D, Chun M, Hyun T, Lee M
- KMID: 2547665
- J Korean Soc Emerg Med.
- 2023 Oct;34(5):383-393.
Objective: There is limited data on the outcomes of cardiac arrest occurring in emergency departments (ED). The objective of this study was to identify the factors associated with these outcomes,... -
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- Intensive Care Experience of Critical Care Patients and Its Related Factors : A Secondary Analysis Study
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Kang J, Woo H
- KMID: 2547387
- J Korean Crit Care Nurs.
- 2023 Oct;16(3):11-23.
- doi: 10.34250/jkccn.2023.16.3.11
Purpose : This study investigates the experiences of patients in intensive care units (ICUs), and the factors influencing these experiences. Method : We used a cross-sectional survey design to analyze previously... -
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- Open datasets in perioperative medicine: a narrative review
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Lim L, Lee HC
- KMID: 2547029
- Anesth Pain Med.
- 2023 Jul;18(3):213-219.
- doi: 10.17085/apm.23076
With the growing interest of researchers in machine learning and artificial intelligence (AI) based on large data, their roles in medical research have become increasingly prominent. Despite the proliferation of... -
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- Development and Evaluation of Evidence-Based Nursing Protocol for Extracorporeal Membrane Oxygenation to Critically Ill Patients
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Kim S, Kim CG
- KMID: 2544213
- J Korean Acad Nurs.
- 2023 Jun;53(3):275-294.
- doi: 10.4040/jkan.22109
Purpose: This study aimed to develop an evidence-based extracorporeal membrane oxygenation (ECMO) nursing protocol for critically ill patients receiving ECMO treatment by using an adaptation process, and to verify the... -
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- Influencing factors for Sleep Disturbance in the Intensive Care Unit Patients: A Systematic Review
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Cho YS, Joung S
- KMID: 2543520
- J Korean Crit Care Nurs.
- 2023 Jun;16(2):1-14.
- doi: 10.34250/jkccn.2023.16.2.1
Purpose : Sleep disturbances in patients in the intensive care unit (ICU) are related to health problems after discharge. Therefore, active prevention and management are required. Hence, identification of the... -
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- Ticagrelor washout bridged with GPIIb/IIIa inhibitor infusion to facilitate surgical care following placement of pipeline flow diverters: a case report
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Zweig A, Stanley JS, Patel R, Agola J, Halstead MR
- KMID: 2543390
- J Neurocrit Care.
- 2023 Jun;16(1):34-38.
- doi: 10.18700/jnc.230016
Background: Pipeline flow diverters (PFDs) are becoming increasingly common. Antiplatelet medication is required to minimize periprocedural ischemic events. Short-acting GPIIb/IIIa inhibitors are frequently administered intraprocedurally; however, the role of these... -
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- Radiologic Assessment of Lung Edema Score as a Predictor of Clinical Outcome in Children with Acute Respiratory Distress Syndrome
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Han CH, Park M, Kim H, Roh YY, Kim SY, Kim JD, Kim MJ, Lee YJ, Kim KW, Kim YH
- KMID: 2542609
- Yonsei Med J.
- 2023 Jun;64(6):384-394.
- doi: 10.3349/ymj.2022.0653
Purpose: The radiographic assessment of lung edema (RALE) score enables objective quantification of lung edema and is a valuable prognostic marker of adult acute respiratory distress syndrome (ARDS). We aimed... -
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- Current challenges in adopting machine learning to critical care and emergency medicine
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Kang CY, Yoon JH
- KMID: 2543480
- Clin Exp Emerg Med.
- 2023 Jun;10(2):132-137.
- doi: 10.15441/ceem.23.041
Over the past decades, the field of machine learning (ML) has made great strides in medicine. Despite the number of ML-inspired publications in the clinical arena, the results and implications... -
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- Incidence and Mortality Trends in Critically Ill Children: A Korean Population-Based Study
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Choi J, Park E, Choi AY, Son MH, Cho J
- KMID: 2543870
- J Korean Med Sci.
- 2023 Jun;38(23):e178.
- doi: 10.3346/jkms.2023.38.e178
Background: Monitoring mortality trends can help design ways to improve survival, but observation of national mortality trends in critically ill children is lacking for the Korean population Methods: We analyzed... -
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- Percent fluid overload for prediction of fluid de-escalation in critically ill patients in Saudi Arabia: a prospective observational study
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Alharbi RA, Aldardeer NF, Heaphy ELG, Alabbasi AH, Albuqami AM, Hawa H
- KMID: 2543640
- Acute Crit Care.
- 2023 May;38(2):209-216.
- doi: 10.4266/acc.2022.01550
Background: Percent fluid overload greater than 5% is associated with increased mortality. The appropriate time for fluid deresuscitation depends on the patient's radiological and clinical findings. This study aimed to... -
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- The Profile of Early Sedation Depth and Clinical Outcomes of Mechanically Ventilated Patients in Korea
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Hyun Dg, Ahn JH, Gil HY, Nam CM, Yun C, Lee JM, Kim JH, Lee DH, Kim KH, Kim DJ, Lee SM, Ryu HG, Hong SK, Kim JB, Choi EY, Baek J, Kim J, Kim EJ, Park TY, Kim JH, Park S, Park CM, Jung WJ, Choi NJ, Jang HJ, Lee SH, Lee YS, Suh GY, Choi WS, Lee KS, Kim HW, Min YG, Lee SJ, Lim CM
- KMID: 2542392
- J Korean Med Sci.
- 2023 May;38(19):e141.
- doi: 10.3346/jkms.2023.38.e141
Background Current international guidelines recommend against deep sedation as it is associated with worse outcomes in the intensive care unit (ICU). However, in Korea the prevalence of deep sedation and its... -
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- Early Enteral Nutrition and Sepsis-Associated Acute Kidney Injury: A Propensity Score Matched Cohort Study Based on the MIMIC-III Database
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Wang J, Jiang L, Ding S, He SY, Liu SB, Lu ZJ, Liu YZ, Hou LW, Wang BS, Zhang JB
- KMID: 2541128
- Yonsei Med J.
- 2023 Apr;64(4):259-268.
- doi: 10.3349/ymj.2022.0276
Purpose: We aimed to analyze the optimal timing of enteral nutrition (EN) in the treatment of sepsis and its effect on sepsis-associated acute kidney injury (SA-AKI.) Materials and Methods: The... -
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- Prior Lifestyle and Survival Outcomes After Intensive Care Unit Admission
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Song IA, Oh TK
- KMID: 2541048
- J Korean Med Sci.
- 2023 Apr;38(13):e97.
- doi: 10.3346/jkms.2023.38.e97
Background: Although lifestyle is an important and modifiable risk factor for health-related outcomes, no study has focused on the impact of prior lifestyle habits on mortality among critically ill patients... -
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- A combination of the Modified Early Warning Score and the Korean Triage and Acuity Scale as a triage tool in patients with infection
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Ryu S, Oh SK, Lee BK, Jeon SY
- KMID: 2541380
- Clin Exp Emerg Med.
- 2023 Mar;10(1):60-67.
- doi: 10.15441/ceem.22.339
Objective We evaluated the utility of the Korean Modified Early Warning Score (KMEWS), which combines the Modified Early Warning Score (MEWS) and the Korean Triage and Acuity Scale (KTAS), as... -
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- Evaluating the use of the respiratory-rate oxygenation index as a predictor of high-flow nasal cannula oxygen failure in COVID-19
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Weerasuriya S, Vlachos S, Bobo A, Jayaprabhu NB, Matthews L, Blackstock AR, Metaxa V
- KMID: 2540312
- Acute Crit Care.
- 2023 Feb;38(1):31-40.
- doi: 10.4266/acc.2022.01081
Background: It can be challenging for clinicians to predict which patients with respiratory failure secondary to coronavirus disease 2019 (COVID-19) will fail on high-flow nasal cannula (HFNC) oxygen and require... -
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- Theoretical definition of nurse–conscious mechanically ventilated patient communication: a scoping review with qualitative content analysis
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Ghiasvand AM, Hosseini M, Atashzadeh-Shoorideh F
- KMID: 2540310
- Acute Crit Care.
- 2023 Feb;38(1):8-20.
- doi: 10.4266/acc.2022.01039
Providing critical nursing care for conscious mechanically ventilated patients is mediated via effective communication. This study aimed to identify and map the antecedents, attributes, consequences, and definition of nurse–conscious mechanically... -
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- Healthcare Professionals’ Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study
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Yoo J, Hur S, Hwang W, Cha WC
- KMID: 2539399
- Healthc Inform Res.
- 2023 Jan;29(1):64-74.
- doi: 10.4258/hir.2023.29.1.64
Objectives: Although medical artificial intelligence (AI) systems that assist healthcare professionals in critical care settings are expected to improve healthcare, skepticism exists regarding whether their potential has been fully actualized.... -
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- Clinical outcomes of and risk factors for secondary infection in patients with severe COVID-19: a multicenter cohort study in South Korea
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Na YS, Baek AR, Baek MS, Kim WY, Kim JH, Lee By, Seong GM, Lee SI
- KMID: 2537400
- Korean J Intern Med.
- 2023 Jan;38(1):68-79.
- doi: 10.3904/kjim.2022.084
Background/Aims: Secondary infection with influenza virus occurs in critically ill patients and is associated with substantial morbidity and mortality; however, there is limited information about it in patients with severe... -
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