Acute and Critical Care

Original Articles

CPR/Resuscitation
Lower limb muscle matters in patients with hypoxic brain injury following out-of-hospital cardiac arrest: Dong-Hyun Jang, Seung Min Park, Dong Keon Lee, Dong Won Kim, Chang Woo Im, You Hwan Jo, Kui Ja Lee; Acute Crit Care. 2023;38(1):104-112. Published online February 27, 2023; DOI: https://doi.org/10.4266/acc.2022.01389

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Abstract PDF Supplementary Material: Background
There are conflicting results regarding the association between body mass index and the prognosis of cardiac arrest patients. We investigated the association of the composition and distribution of muscle and fat with neurologic outcomes at hospital discharge in successfully resuscitated out-of-hospital cardiac arrest (OHCA) patients. Methods: This prospective, single-centre, observational study involved adult OHCA patients, conducted between April 2019 and June 2021. The ratio of total skeletal muscle, upper limb muscle, lower limb muscle, and total fat to body weight was measured using InBody S10, a bioimpedance analyser, after achieving the return of spontaneous circulation. Restricted cubic spline curves with four knots were used to examine the relationship between total skeletal muscle, upper limb muscle, and lower limb muscle relative to total body weight and neurologic outcome at discharge. Multivariable logistic regression analysis was performed to assess an independent association. Results: A total of 66 patients were enrolled in the study. The proportion of total muscle and lower limb muscle positively correlated with the possibility of having a good neurologic outcome. The proportion of lower limb muscle showed an independent association in the multivariable analysis (adjusted odds ratio, 2.29; 95% confidence interval, 1.06–13.98), and its optimal cut-off value calculated through receiver operating characteristic curve analysis was 23.1%, which can predict a good neurological outcome. Conclusions: A higher proportion of lower limb muscle to body weight was independently associated with the probability of having a good neurologic outcome in OHCA patients.

Pulmonary
Incidence and risk factors associated with progression to severe pneumonia among adults with non-severe Legionella pneumonia: Jin-Young Huh, Sang-Ho Choi, Kyung-Wook Jo, Jin Won Huh, Sang-Bum Hong, Tae Sun Shim, Chae-Man Lim, Younsuck Koh; Acute Crit Care. 2022;37(4):543-549. Published online October 21, 2022; DOI: https://doi.org/10.4266/acc.2022.00521

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Background
Legionella species are important causative organisms of severe pneumonia. However, data are limited on predictors of progression to severe Legionella pneumonia (LP). Therefore, the risk factors for LP progression from non-severe to the severe form were investigated in the present study. Methods: This was a retrospective cohort study that included adult LP patients admitted to a 2,700-bed referral center between January 2005 and December 2019. Results: A total of 155 patients were identified during the study period; 58 patients (37.4%) initially presented with severe pneumonia and 97 (62.6%) patients with non-severe pneumonia. Among the 97 patients, 28 (28.9%) developed severe pneumonia during hospitalization and 69 patients (71.1%) recovered without progression to severe pneumonia. Multivariate logistic regression analysis showed platelet count ≤150,000/mm3 (odds ratio [OR], 2.923; 95% confidence interval [CI], 1.100–8.105; P=0.034) and delayed antibiotic treatment >1 day (OR, 3.092; 95% CI, 1.167–8.727; P=0.026) were significant independent factors associated with progression to severe pneumonia. Conclusions: A low platelet count and delayed antibiotic treatment were significantly associated with the progression of non-severe LP to severe LP.

Citations

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Atraumatic Splenic Rupture in Legionella pneumophila Pneumonia
Elliott Worku, Dominic Adam Worku, Salim Surani
Case Reports in Infectious Diseases.2023; 2023: 1. CrossRef
Short- and long-term prognosis of patients with community-acquired Legionella or pneumococcal pneumonia diagnosed by urinary antigen testing
Leyre Serrano, Luis Alberto Ruiz, Silvia Perez-Fernandez, Pedro Pablo España, Ainhoa Gomez, Beatriz Gonzalez, Ane Uranga, Sonia Castro, Milagros Iriberri, Rafael Zalacain
International Journal of Infectious Diseases.2023; 134: 106. CrossRef

Pulmonary
The frequency and seasonal distribution of viral infection in patients with community-acquired pneumonia and its impact on the prognosis: Kyung Jun Kim, Doh Hyung Kim; Acute Crit Care. 2022;37(4):550-560. Published online October 6, 2022; DOI: https://doi.org/10.4266/acc.2022.00682

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Abstract PDF: Background
Studies on the effects of viral coinfection on bacterial pneumonia are still scarce in South Korea. This study investigates the frequency and seasonal distribution of virus infection and its impact on the prognosis in patients with community-acquired pneumonia (CAP). Methods: The medical records of CAP patients with definite etiology, such as viruses and bacteria, were retrospectively reviewed. Their epidemiologic and clinical characteristics, microbiologic test results, the severity of illness, and 30-day mortality were analyzed. Results: Among 150 study subjects, 68 patients (45.3%) had viral infection alone, 47 (31.3%) had bacterial infection alone, and 35 (23.3%) had viral-bacterial coinfection, respectively. Among 103 patients with viral infections, Influenza A virus (44%) was the most common virus, followed by rhinovirus (19%), influenza B (13%), and adenovirus (6%). The confusion-urea-respiratory rateblood pressure-age of 65 (CURB-65) score of the viral-bacterial coinfection was higher than that of the viral infection (median [interquartile range]: 2.0 [1.0–4.0] vs. 2.0 [0.3–3.0], P=0.029). The 30-day mortality of the viral infection alone group (2.9%) was significantly lower than that of bacterial infection alone (19.1%) and viral-bacterial coinfection (25.7%) groups (Bonferroni-corrected P<0.05). Viral-bacterial coinfection was the stronger predictor of 30-day mortality in CAP (odds ratio [OR], 18.9; 95% confidence interval [CI], 3.0–118.3; P=0.002) than bacterial infection alone (OR, 6.3; 95% CI, 1.1–36.4; P=0.041), compared to viral infection alone on the multivariate analysis. Conclusions: The etiology of viral infection in CAP is different according to regional characteristics. Viral-bacterial coinfection showed a worse prognosis than bacterial infection alone in patients with CAP.

CPR/Resuscitation
Association between C-reactive protein-to-albumin ratio and 6-month mortality in out-of-hospital cardiac arrest: Hui Hwan Kim, Ji Ho Lee, Dong Hun Lee, Byung Kook Lee; Acute Crit Care. 2022;37(4):601-609. Published online August 18, 2022; DOI: https://doi.org/10.4266/acc.2022.00542

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Abstract PDF Supplementary Material

Background
The inflammatory response that occurs following cardiac arrest can determine the long-term prognosis of patients who survive out-of-hospital cardiac arrest. We evaluated the correlation between C-reactive protein-to-albumin ratio (CAR) following cardiac arrest and long-term mortality. Methods: The current retrospective observational study examined patients with post-cardiac arrest syndrome (PCAS) treated with targeted temperature management at a single tertiary care hospital. We measured CAR at four time points (at admission and then 24 hours, 48 hours, and 72 hours after) following cardiac arrest. The primary outcome was the patients’ 6-month mortality. We performed multivariable and area under the receiver operating characteristic curve (AUC) analyses to investigate the relationship between CAR and 6-month mortality. Results: Among the 115 patients, 52 (44.1%) died within 6 months. In the multivariable analysis, CAR at 48 hours (odds ratio [OR], 1.130; 95% confidence interval [CI], 1.027–1.244) and 72 hours (OR, 1.241; 95% CI, 1.059–1.455) after cardiac arrest was independently associated with 6-month mortality. The AUCs of CAR at admission and 24, 48, and 72 hours after cardiac arrest for predicting 6-month mortality were 0.583 (95% CI, 0.489–0.673), 0.622 (95% CI, 0.528–0.710), 0.706 (95% CI, 0.615–0.786), and 0.762 (95% CI, 0.675–0.835), respectively. Conclusions: CAR at 72 hours after cardiac arrest was an independent predictor for long-term mortality in patients with PCAS.

Citations

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Inflammatory response after out‐of‐hospital cardiac arrest—Impact on outcome and organ failure development
Asser M. J. Seppä, Markus B. Skrifvars, Pirkka T. Pekkarinen
Acta Anaesthesiologica Scandinavica.2023;[Epub] CrossRef
Comparison of Prognostic Performance between Procalcitonin and Procalcitonin-to-Albumin Ratio in Post Cardiac Arrest Syndrome
Ju Hee Yoon, Woo Sung Choi, Yong Su Lim, Jae Ho Jang
Journal of Clinical Medicine.2023; 12(14): 4568. CrossRef

Neurosurgery
Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma: Anukoon Kaewborisutsakul, Thara Tunthanathip; Acute Crit Care. 2022;37(3):429-437. Published online June 23, 2022; DOI: https://doi.org/10.4266/acc.2021.01795

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Abstract PDF

Background
A subdural hematoma (SDH) following a traumatic brain injury (TBI) in children can lead to unexpected death or disability. The nomogram is a clinical prediction tool used by physicians to provide prognosis advice to parents for making decisions regarding treatment. In the present study, a nomogram for predicting outcomes was developed and validated. In addition, the predictors associated with outcomes in children with traumatic SDH were determined.
Methods
In this retrospective study, 103 children with SDH after TBI were evaluated. According to the King’s Outcome Scale for Childhood Head Injury classification, the functional outcomes were assessed at hospital discharge and categorized into favorable and unfavorable. The predictors associated with the unfavorable outcomes were analyzed using binary logistic regression. Subsequently, a two-dimensional nomogram was developed for presentation of the predictive model.
Results
The predictive model with the lowest level of Akaike information criterion consisted of hypotension (odds ratio [OR], 9.4; 95% confidence interval [CI], 2.0–42.9), Glasgow coma scale scores of 3–8 (OR, 8.2; 95% CI, 1.7–38.9), fixed pupil in one eye (OR, 4.8; 95% CI, 2.6–8.8), and fixed pupils in both eyes (OR, 3.5; 95% CI, 1.6–7.1). A midline shift ≥5 mm (OR, 1.1; 95% CI, 0.62–10.73) and co-existing intraventricular hemorrhage (OR, 6.5; 95% CI, 0.003–26.1) were also included.
Conclusions
SDH in pediatric TBI can lead to mortality and disability. The predictability level of the nomogram in the present study was excellent, and external validation should be conducted to confirm the performance of the clinical prediction tool.

Citations

Citations to this article as recorded by

Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
Jue Wang, Ming Jing Yin, Han Chun Wen
BMC Medical Informatics and Decision Making.2023;[Epub] CrossRef
Development and internal validation of a nomogram to predict massive blood transfusions in neurosurgical operations
Kanisorn Sungkaro, Chin Taweesomboonyat, Anukoon Kaewborisutsakul
Journal of Neurosciences in Rural Practice.2022; 13: 711. CrossRef
Prediction of massive transfusions in neurosurgical operations using machine learning
Chin Taweesomboonyat, Anukoon Kaewborisutsakul, Kanisorn Sungkaro
Asian Journal of Transfusion Science.2022;[Epub] CrossRef

Pediatrics
Prognostic factors of pediatric hematopoietic stem cell transplantation recipients admitted to the pediatric intensive care unit: Da Hyun Kim, Eun Ju Ha, Seong Jong Park, Kyung-Nam Koh, Hyery Kim, Ho Joon Im, Won Kyoung Jhang; Acute Crit Care. 2021;36(4):380-387. Published online November 26, 2021; DOI: https://doi.org/10.4266/acc.2020.01193

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Abstract PDF

Background
Pediatric patients who received hematopoietic stem cell transplantation (HSCT) tend to have high morbidity and mortality. While, the prognostic factors of adult patients received bone marrow transplantation were already known, there is little known in pediatric pateints. This study aimed to identify the prognostic factor for pediatric intensive care unit (PICU) mortality of critically ill pediatric patients with HSCT.
Method
Retrospectively reviewed that the medical records of patients who received HSCT and admitted to PICU between January 2010 and December 2019. Mortality was defined a patient who expired within 28 days.
Results
A total of 131 patients were included. There were 63 boys (48.1%) and median age was 11 years (interquartile range, 0–20 years). The most common HSCT type was haploidentical (38.9%) and respiratory failure (44.3%) was the most common reason for PICU admission. Twenty-eight–day mortality was 22.1% (29/131). In comparison between survivors and non-survivors, the number of HSCT received, sepsis, oncological pediatric risk of mortality-III (OPRISM-III), PRISM-III, pediatric sequential organ failure assessment (pSOFA), serum lactate, B-type natriuretic peptide (BNP) and use of mechanical ventilator (MV) and vasoactive inotropics were significant predictors (p<0.05 for all variables). In multivariate logistic regression, number of HSCT received, use of MV, OPRISM-III, PRISM-III and pSOFA were independent risk factors of PICU mortality. Moreover, three scoring systems were significant prognostic factors of 28-day mortality.
Conclusions
The number of HSCT received and use of MV were more accurate predictors in pediatric patients received HSCT.

Citations

Citations to this article as recorded by

Survival outcomes of pediatric hematopoietic stem cell transplant patients admitted to the intensive care unit: A case–control study from a tertiary care center in Saudi Arabia
LujainTalib Aljudaibi, MohamedSalaheldin Bayoumy, HassanA Altrabolsi, AbdullahM Alzaydi, Nawaf Aldajani, Nadia Hammad, Ismail Alzahrani, Marwa Elhadidy, IbraheemF Abosoudah
Journal of Applied Hematology.2022; 13(4): 192. CrossRef

Infection
Clinical characteristics and outcomes of critically ill COVID-19 patients in Sfax, Tunisia: Mabrouk Bahloul, Sana Kharrat, Kamilia Chtara, Malek Hafdhi, Olfa Turki, Najeh Baccouche, Rania Ammar, Nozha Kallel, Majdi Hsairi, Olfa Chakroun-Walha, Chokri Ben Hamida, Hedi Chelly, Khaiereddine Ben Mahfoudh, Abelhamid Karoui, Hela Karray, Noureddine Rekik, Mounir Bouaziz; Acute Crit Care. 2022;37(1):84-93. Published online November 16, 2021; DOI: https://doi.org/10.4266/acc.2021.00129

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Abstract PDF

Background
Africa, like the rest of the world, has been impacted by the coronavirus disease 2019 (COVID-19) pandemic. However, only a few studies covering this subject in Africa have been published. Methods: We conducted a retrospective study of critically ill adult COVID-19 patients—all of whom had a confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection— admitted to the intensive care unit (ICU) of Habib Bourguiba University Hospital (Sfax, Tunisia). Results: A total of 96 patients were admitted into our ICU for respiratory distress due to COVID-19 infection. Mean age was 62.4±12.8 years and median age was 64 years. Mean arterial oxygen tension (PaO2)/fractional inspired oxygen (FiO2) ratio was 105±60 and ≤300 in all cases but one. Oxygen support was required for all patients (100%) and invasive mechanical ventilation for 38 (40%). Prone positioning was applied in 67 patients (70%). Within the study period, 47 of the 96 patients died (49%). Multivariate analysis showed that the factors associated with poor outcome were the development of acute renal failure (odds ratio [OR], 6.7; 95% confidence interval [CI], 1.75–25.9), the use of mechanical ventilation (OR, 5.8; 95% CI, 1.54–22.0), and serum cholinesterase (SChE) activity lower than 5,000 UI/L (OR, 5.0; 95% CI, 1.34–19). Conclusions: In this retrospective cohort study of critically ill patients admitted to the ICU in Sfax, Tunisia, for acute respiratory failure following COVID-19 infection, the mortality rate was high. The development of acute renal failure, the use of mechanical ventilation, and SChE activity lower than 5,000 UI/L were associated with a poor outcome.

Citations

Citations to this article as recorded by

Cost Effectiveness of Strategies for Caring for Critically Ill Patients with COVID-19 in Tanzania
Hiral Anil Shah, Tim Baker, Carl Otto Schell, August Kuwawenaruwa, Khamis Awadh, Karima Khalid, Angela Kairu, Vincent Were, Edwine Barasa, Peter Baker, Lorna Guinness
PharmacoEconomics - Open.2023; 7(4): 537. CrossRef
Prognostic Value of Serum Cholinesterase Activity in Severe SARS-CoV-2–Infected Patients Requiring Intensive Care Unit Admission
Mabrouk Bahloul, Sana Kharrat, Saba Makni, Najeh Baccouche, Rania Ammar, Aida Eleuch, Lamia Berrajah, Amel Chtourou, Olfa Turki, Chokri Ben Hamida, Hedi Chelly, Kamilia Chtara, Fatma Ayedi, Mounir Bouaziz
The American Journal of Tropical Medicine and Hygiene.2022; 107(3): 534. CrossRef

Pulmonary
Development of a prognostic scoring system in patients with pneumonia requiring ventilator care for more than 4 days: a single-center observational study: Yeseul Oh, Yewon Kang, Kwangha Lee; Acute Crit Care. 2021;36(1):46-53. Published online February 17, 2021; DOI: https://doi.org/10.4266/acc.2020.00787

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Abstract PDF: Background
The aim of the present study was to develop a prognostic model using demographic characteristics, comorbidities, and clinical variables measured on day 4 of mechanical ventilation (MV) for patients with prolonged acute mechanical ventilation (PAMV; MV for >96 hours).
Methods
Data from 437 patients (70.9% male; median age, 68 years) were obtained over a period of 9 years. All patients were diagnosed with pneumonia. Binary logistic regression identified factors predicting mortality at 90 days after the start of MV. A PAMV prognosis score was calculating ß-coefficient values and assigning points to variables.
Results
The overall 90-day mortality rate was 47.1%. Five factors (age ≥65 years, body mass index <18.5 kg/m², hemato-oncologic diseases as comorbidities, requirement for vasopressors on day 4 of MV and requirement for neuromuscular blocking agents on day 4 of MV) were identified as prognostic indicators. Each factor was valued as +1 point, and used to develop a PAMV prognosis score. This score showed acceptable discrimination (area under the receiver operating characteristic curve of 0.695 for mortality, 95% confidence interval 0.650–0.738, p<0.001), and calibration (Hosmer–Lemeshow chi-square=6.331, with df 7 and p=0.502). The cutoff value for predicting mortality based on the maximum Youden index was ≤2 (sensitivity, 87.5%; specificity, 41.3%). For patients with PAMV scores ≤1, 2, 3 and ≥4, the 90-day mortality rates were 29.2%, 45.7%, 67.9%, and 90.9%, respectively (P<0.001).
Conclusions
Our study developed a PAMV prognosis score for predicting 90-day mortality. Further research is needed to validate the utility of this score.

Pulmonary
Sequential Organ Failure Assessment score as a predictor of mortality in ventilated patients with multidrug-resistant bacteremia: Yeseul Oh, Jiyeon Roh, Jaemin Lee, Hyun Sung Chung, Kwangha Lee, Min Ki Lee; Acute Crit Care. 2020;35(3):169-178. Published online August 31, 2020; DOI: https://doi.org/10.4266/acc.2020.00143

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Abstract PDF

Background
The occurrence of multidrug-resistant (MDR) bacteremia in ventilated patients may be associated with a high mortality rate. We evaluated whether Sequential Organ Failure Assessment (SOFA) score on the day of bacteremia could predict 90-day mortality in these patients.
Methods
Data were obtained retrospectively from 202 patients (male, 60.4%; median age, 64 years) hospitalized at a single university-affiliated tertiary care hospital. All adult patients who had were ventilated and had one of the following six MDR bacteremias between March 2011 and February 2018 were enrolled: methicillin-resistant Staphylococcus aureus, extended-spectrum β-lactamase-producing Gram-negative bacteria (Escherichia coli and Klebsiella pneumonia), carbapenem-resistant Gram-negative rods (Acinetobacter baumannii and Pseudomonas aeruginosa), or vancomycin-resistant Enterococcus faecium.
Results
The overall 90-day mortality rate after the day of bacteremia was 59.9%. The areas under the receiver operating characteristic curves for the SOFA and Acute Physiology and Chronic Health Evaluation (APACHE) II scores were 0.732 (95% confidence interval [CI], 0.666 to 0.792; P<0.001) and 0.662 (95% CI, 0.593 to 0.727; P<0.001), respectively, with no difference between the two (P=0.059). Also, the cutoff value of the SOFA score was 9 (based on Youden’s index). Multivariate Cox regression analysis showed that this cut-off value was significantly associated with higher mortality rate (hazard ratio, 2.886; 95% CI, 1.946 to 4.221; P<0.001).
Conclusions
SOFA score measured on the day of bacteremia may be a useful prognostic indicator of 90-day mortality in ventilated patients with MDR bacteremia.

Citations

Citations to this article as recorded by

Serial evaluation of the serum lactate level with the SOFA score to predict mortality in patients with sepsis
Heemoon Park, Jinwoo Lee, Dong Kyu Oh, Mi Hyeon Park, Chae-Man Lim, Sang-Min Lee, Hong Yeul Lee
Scientific Reports.2023;[Epub] CrossRef
The value of admission Troponin I to predict outcomes in suspected infections in elderly patients admitted in Internal Medicine: results from the SOFA-T collaboration, a multi-center study
N. Tarquinio, G. Viticchi, V. Zaccone, M. Martino, A. Fioranelli, P. Morciano, G. Moroncini, C. Di Pentima, A. Martini, C. Nitti, A. Salvi, M. Burattini, L. Falsetti
Internal and Emergency Medicine.2021; 16(4): 981. CrossRef

Trauma
Inclusion of lactate level measured upon emergency room arrival in trauma outcome prediction models improves mortality prediction: a retrospective, single-center study: Jonghwan Moon, Kyungjin Hwang, Dukyong Yoon, Kyoungwon Jung; Acute Crit Care. 2020;35(2):102-109. Published online May 31, 2020; DOI: https://doi.org/10.4266/acc.2019.00780

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Abstract PDF

Background
This study aimed to develop a model for predicting trauma outcomes by adding arterial lactate levels measured upon emergency room (ER) arrival to existing trauma injury severity scoring systems.
Methods
We examined blunt trauma cases that were admitted to our hospital during 2010– 2014. Eligibility criteria were cases with an Injury Severity Score of ≥9, complete Trauma and Injury Severity Score (TRISS) variable data, and lactate levels that were assessed upon ER arrival. Survivor and non-survivor groups were compared and lactate-based prediction models were generated using logistic regression. We compared the predictive performances of traditional prediction models (Revised Trauma Score [RTS] and TRISS) and lactate-based models using the area under the curve (AUC) of receiver operating characteristic curves.
Results
We included 829 patients, and the in-hospital mortality rate among these patients was 21.6%. The model that used lactate levels and age provided a significantly better AUC value than the RTS model. The model with lactate added to the TRISS variables provided the highest Youden J statistic, with 86.0% sensitivity and 70.8% specificity at a cutoff value of 0.15, as well as the highest predictive value, with a significantly higher AUC than the TRISS.
Conclusions
These findings indicate that lactate testing upon ER arrival may help supplement or replace traditional physiological parameters to predict mortality outcomes among Korean trauma patients. Adding lactate levels also appears to improve the predictive abilities of existing trauma outcome prediction models.

Citations

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Admission Lactate and Base Deficit in Predicting Outcomes of Pediatric Trauma
Yo Huh, Yura Ko, Kyungjin Hwang, Kyoungwon Jung, Yoon-ho Cha, Yoo Jin Choi, Jisook Lee, Jung Heon Kim
Shock.2021; 55(4): 495. CrossRef

Cardiology
Predictors and outcomes of sepsis-induced cardiomyopathy in critically ill patients: Myung Jin Song, Sang Hoon Lee, Ah Young Leem, Song Yee Kim, Kyung Soo Chung, Eun Young Kim, Ji Ye Jung, Young Ae Kang, Young Sam Kim, Joon Chang, Moo Suk Park; Acute Crit Care. 2020;35(2):67-76. Published online May 15, 2020; DOI: https://doi.org/10.4266/acc.2020.00024

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Abstract PDF

Background
Sepsis-induced cardiomyopathy (SIC) occurs frequently in critically ill patients, but the clinical features and prognostic impact of SIC on sepsis outcome remain controversial. Here, we investigated the predictors and outcomes of SIC.
Methods
Patients admitted to a single medical intensive care unit from June 2016 to September 2017 were retrospectively reviewed. SIC was diagnosed by ejection fraction (EF) <50% and ≥10% decrease in baseline EF that recovered within 2 weeks.
Results
In total, 342 patients with sepsis met the inclusion criteria, and 49 patients (14.3%) were diagnosed with SIC; the latter were compared with 259 patients whose EF was not deteriorated by sepsis (non-SIC). Low systolic blood pressure and increased left ventricular end-diastolic diameter (LVEDD) were identified as predictors of SIC. SIC and non-SIC patients did not differ significantly in terms of 28-day all-cause mortality (24.5% vs. 26.3%, P=0.936). Acute Physiology and Chronic Health Evaluation II (APACHE II; hazard ratio [HR], 1.10; 95% confidential interval [CI], 1.02 to 1.18; P=0.009) and delta neutrophil index (DNI; HR, 1.02; 95% CI, 1.00 to 1.08; P=0.026) were independent risk factors for 28-day mortality with SIC. DNI, APACHE II, and lactate were identified as risk factors for 28-day mortality in sepsis patients as a whole.
Conclusions
SIC was not associated with increased mortality compared to non-SIC. Low systolic blood pressure and increased LVEDD were predictors of SIC. High APACHE II score and elevated DNI, which reflect sepsis severity, predict 28-day all-cause mortality.

Citations

Citations to this article as recorded by

Prevalence and Prognosis of Sepsis-Induced Cardiomyopathy: A Systematic Review and Meta-Analysis
Daisuke Hasegawa, Yoshiko Ishisaka, Tetsuro Maeda, Narut Prasitlumkum, Kazuki Nishida, Siddharth Dugar, Ryota Sato
Journal of Intensive Care Medicine.2023; 38(9): 797. CrossRef
Risk factors of postoperative septic cardiomyopathy in perioperative sepsis patients
Yuchang Xin, Ying Ge, Liuhui Chang, Yong Ni, Hairui Liu, Jiang Zhu
BMC Anesthesiology.2022;[Epub] CrossRef
Effect of milrinone versus placebo on hemodynamic in patients with septic shock: A randomize control trial
Suratee Chobngam, Surat Tongyoo
Clinical Critical Care.2022;[Epub] CrossRef
Association of sepsis-induced cardiomyopathy and mortality: a systematic review and meta-analysis
Yu-Min Lin, Mei-Chuan Lee, Han Siong Toh, Wei-Ting Chang, Sih-Yao Chen, Fang-Hsiu Kuo, Hsin-Ju Tang, Yi-Ming Hua, Dongmei Wei, Jesus Melgarejo, Zhen-Yu Zhang, Chia-Te Liao
Annals of Intensive Care.2022;[Epub] CrossRef
Association of Sepsis-Induced Cardiomyopathy and Mortality: A Systematic Review and Meta-Analysis
Yu-Min Lin, Mei-Chuan Lee, Han Siong Toh, Wei-Ting Chang, Sih-Yao Chen, Fang-Hsiu Kuo, Hsin-Ju Tang, Yi-Ming Hua, Dongmei Wei, Jesus Melgarejo, Zhen-Yu Zhang, Chia-Te Liao
SSRN Electronic Journal .2022;[Epub] CrossRef
Sepsis-induced cardiomyopathy is associated with higher mortality rates in patients with sepsis
Balaram Krishna J Hanumanthu, Anika Sasidharan Nair, Adarsh Katamreddy, Jason S Gilbert, Jee Young You, Obiageli Lynda Offor, Ankit Kushwaha, Ankita Krishnan, Marzio Napolitano, Leonidas Palaidimos, Joaquin Morante, Seema S. Tekwani, Suchita Mehta, Aancha
Acute and Critical Care.2021; 36(3): 215. CrossRef
The Correlation Between Whole Blood Copper (Cu), Zinc (Zn) Levels and Cu/Zn Ratio and Sepsis-Induced Left Ventricular Systolic Dysfunction (SILVSD) in Patients with Septic Shock: A Single-Center Prospective Observational Study
Jian-Biao Meng, Ma-Hong Hu, Ming Zhang, Gong-Pai Hu, Wei Zhang, Shen-Jiang Hu
International Journal of General Medicine.2021; Volume 14: 7219. CrossRef

Case Report

Pulmonary
Direct hemoperfusion with polymyxin B-immobilized fiber column in a patient with acute exacerbation of idiopathic pulmonary fibrosis: Shin Young Kim, Jin Han Park, Hyo Jung Kim, Hang Jea Jang, Hyun Kuk Kim, Seung Hoon Kim, Jae Ha Lee; Acute Crit Care. 2020;35(4):302-306. Published online April 13, 2020; DOI: https://doi.org/10.4266/acc.2020.00038

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Abstract PDF: Idiopathic pulmonary fibrosis (IPF) is a progressive fibrosing interstitial lung disease characterized by dyspnea and a worsening of the lung function. Acute exacerbations of idiopathic pulmonary fibrosis (AE-IPF) are defined by a clinically significant respiratory deterioration, that typically develops in less than 1 month, accompanied by new radiologic abnormalities on high-resolution computed tomography, including diffused and bilateral ground-glass opacification, along with an absence of other obvious clinical etiologies. Recently, AE-IPF has gained significant importance as a major cause of mortality and morbidity. However, despite the extremely poor prognosis of the condition, no well-validated therapeutic interventions are currently available. Therefore, novel treatment modalities are being investigated and applied in addition to conventional treatments. Among them, several studies have reported that a direct hemoperfusion with a polymyxin B-immobilized fiber column (PMX-DHP), developed for endotoxin removal in septic shock, has an effect on AE-IPF. We describe two cases of PMX-DHP treatment with conflicting results. One patient successfully recovered via a PMX-DHP in severe AE-IPF that required extracorporeal membrane oxygenation (ECMO). PMX-DHP subsequently improved oxygenation (PaO2/FiO2 ratio) and decreased the levels of inflammatory markers (interleukin-6, C-reactive protein, and white blood cells). The patient dramatically recovered without the need for ECMO. PMX-DHP may be considered an alternative therapy in AE-IPF patients requiring mechanical ventilation or ECMO.

Original Articles

Liver
The role of bilirubin to albumin ratio as a predictor for mortality in critically ill patients without existing liver or biliary tract disease: Ji Soo Choi, Kyung Soo Chung, Eun Hye Lee, Su Hwan Lee, Sang Hoon Lee, Song Yee Kim, Ji Ye Jung, Young Ae Kang, Moo Suk Park, Young Sam Kim, Joon Chang, Ah Young Leem; Acute Crit Care. 2020;35(1):24-30. Published online February 29, 2020; DOI: https://doi.org/10.4266/acc.2019.00738

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Abstract PDF

Background
Hyperbilirubinemia and hypoalbuminemia are frequently appeared and associated with poor prognosis in critically ill patients. We aim to evaluate the association between the bilirubin to albumin ratio and prognosis in intensive care unit (ICU) patients. Methods: This was a retrospective study of 731 patients who were admitted to the medical intensive care unit (MICU) at a tertiary-care center from July 2015 to September 2017. We analyzed the bilirubin to albumin ratio on admission to the MICU, including clinical characteristics and other examinations. Results: The overall 28-day survival of MICU patients was 69.1%. On univariate analysis, Acute Physiology and Chronic Health Evaluation (APACHE) II score (P<0.001), Sequential Organ Failure Assessment score (P<0.001), Simplified Acute Physiology Score II score (P<0.001), Creactive protein (P=0.015), and bilirubin/albumin ratio (P<0.001) were associated with mortality of ICU patients. The receiver operating characteristic curves for ICU patients mortality between bilirubin to albumin ratio and APACHE II score were not statistically significant (P=0.282). On multivariate analysis, higher APACHE II score (hazard ratio [HR], 1.05; 95% CI, 1.03 to 1.06; P<0.001) and bilirubin to albumin ratio (HR, 1.65; 95% CI, 1.23 to 2.20; P=0.001) were independently related to the ICU patient mortality. Conclusions: A higher bilirubin to albumin ratio was related to the unfavorable prognosis and mortality in critically ill patients.

Citations

Citations to this article as recorded by

Role of serum bilirubin-to-albumin ratio as a prognostic index in critically ill children
You Min Kang, Ga Eun Kim, Mireu Park, Jong Deok Kim, Min Jung Kim, Yoon Hee Kim, Kyung Won Kim, Myung Hyun Son, Soo Yeon Kim
Clinical and Experimental Pediatrics.2023; 66(2): 85. CrossRef
Hepatic dysfunction in critically ill patients
Jeong Hoon Yang
Acute and Critical Care.2020; 35(1): 44. CrossRef

CPR/Resuscitation
Utility of the early lactate area score as a prognostic marker for septic shock patients in the emergency department: Gina Yu, Seung Joon Yoo, Sang-Hun Lee, June Sung Kim, Sungmin Jung, Youn-Jung Kim, Won Young Kim, Seung Mok Ryoo; Acute Crit Care. 2019;34(2):126-132. Published online April 12, 2019; DOI: https://doi.org/10.4266/acc.2018.00283

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Abstract PDF

Background
The current Surviving Sepsis Campaign guidelines recommend the remeasurement of lactate levels if the initial lactate level is elevated; however, the prognostic value of lactate kinetics is limited and inconsistent. We attempted to determine the efficacy of the lactate area score (calculated from repeated lactate measurements during initial resuscitation) as a prognostic marker of septic shock in the emergency department (ED).
Methods
We performed a retrospective study of adult patients with septic shock in the ED of a single tertiary medical center. Serial lactate levels were measured five times within 12 hours. We also compared the initial lactate level, maximum lactate level, and lactate area score. The lactate area score was defined as the sum of the area under the curve measured at 2, 4, 6, and 12 hours following the initial measurement.
Results
A total of 362 patients were enrolled in this study, and the overall 28-day mortality was 31.8%. The lactate area score of serial lactate levels as well as the initial (median [interquartile range], 4.9 [3.4 to 10.5]; P=0.003) and maximum (7.3 [4.2 to 13.2]; P<0.001) lactate levels were significantly higher in the non-survivor group. However, in multivariate analysis, only the lactate area score (odds ratio, 1.013; 95% confidence interval, 1.007 to 1.019) was significantly associated with 28-day mortality.
Conclusions
The early lactate area score may be a possible prognostic marker for predicting the 28-day mortality of adult septic shock patients. Further prospective interventional studies should be conducted to validate our results.

Citations

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Serial evaluation of the serum lactate level with the SOFA score to predict mortality in patients with sepsis
Heemoon Park, Jinwoo Lee, Dong Kyu Oh, Mi Hyeon Park, Chae-Man Lim, Sang-Min Lee, Hong Yeul Lee
Scientific Reports.2023;[Epub] CrossRef
Using time-course as an essential factor to accurately predict sepsis-associated mortality among patients with suspected sepsis
Shih-Chieh Yen, Chin-Chieh Wu, Yi-Ju Tseng, Chih-Huang Li, Kuan-Fu Chen
Biomedical Journal.2023; : 100632. CrossRef
Increased normalized lactate load is associated with higher mortality in both sepsis and non-sepsis patients: an analysis of the MIMIC-IV database
Han Chen, Shu-Rong Gong, Rong-Guo Yu
BMC Anesthesiology.2022;[Epub] CrossRef
An integrated wearable microneedle array for the continuous monitoring of multiple biomarkers in interstitial fluid
Farshad Tehrani, Hazhir Teymourian, Brian Wuerstle, Jonathan Kavner, Ravi Patel, Allison Furmidge, Reza Aghavali, Hamed Hosseini-Toudeshki, Christopher Brown, Fangyu Zhang, Kuldeep Mahato, Zhengxing Li, Abbas Barfidokht, Lu Yin, Paul Warren, Nickey Huang,
Nature Biomedical Engineering.2022; 6(11): 1214. CrossRef
Association between normalized lactate load and mortality in patients with septic shock: an analysis of the MIMIC-III database
Han Chen, Shu-Rong Gong, Rong-Guo Yu
BMC Anesthesiology.2021;[Epub] CrossRef
Mortality prediction using a novel combination of biomarkers in the first day of sepsis in intensive care units
Junkun Liu, Chengwen Bai, Binbin Li, Aijun Shan, Fei Shi, Can Yao, Yu Zhang, Jin Wang, Weibu Chen, Manying Xie, Dehui Deng
Scientific Reports.2021;[Epub] CrossRef
A Graphene-Based Enzymatic Biosensor Using a Common-Gate Field-Effect Transistor for L-Lactic Acid Detection in Blood Plasma Samples
Ariadna Schuck, Hyo Eun Kim, Júlia Konzen Moreira, Priscila Schmidt Lora, Yong-Sang Kim
Sensors.2021; 21(5): 1852. CrossRef
Usefulness of presepsin in predicting the prognosis of patients with sepsis or septic shock: a retrospective cohort study
Jeong Suk Koh, Yoon Joo Kim, Da Hyun Kang, Jeong Eun Lee, Song-I Lee
Yeungnam University Journal of Medicine.2021; 38(4): 318. CrossRef
Non-enzymatic lactic acid sensor based on AuPtNPs functionalized MoS2 nanosheet as electrode modified materials
Haolin Xiao, Liangli Cao, Huishan Qin, Shanshan Wei, Miao Gu, Feijun Zhao, Zhencheng Chen
Journal of Electroanalytical Chemistry.2021; 903: 115806. CrossRef
Early lactate area scores and serial blood lactate levels as prognostic markers for patients with septic shock: a systematic review
Rozita Khodashahi, Soroush Sarjamee
Infectious Diseases.2020; 52(7): 451. CrossRef
Recent lactate findings: is repeated serum lactate testing necessary in septic shock patients?
Moo Suk Park
Acute and Critical Care.2019; 34(2): 155. CrossRef

CPR/Resuscitation
Validation of Pediatric Index of Mortality 3 for Predicting Mortality among Patients Admitted to a Pediatric Intensive Care Unit: Jae Hwa Jung, In Suk Sol, Min Jung Kim, Yoon Hee Kim, Kyung Won Kim, Myung Hyun Sohn; Acute Crit Care. 2018;33(3):170-177. Published online August 31, 2018; DOI: https://doi.org/10.4266/acc.2018.00150

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11 Citations

Abstract PDF

Background
The objective of this study was to evaluate the usefulness of the newest version of the pediatric index of mortality (PIM) 3 for predicting mortality and validating PIM 3 in Korean children admitted to a single intensive care unit (ICU).
Methods
We enrolled children at least 1 month old but less than 18 years of age who were admitted to the medical ICU between March 2009 and February 2015. Performances of the pediatric risk of mortality (PRISM) III, PIM 2, and PIM 3 were evaluated by assessing the area under the receiver operating characteristic (ROC) curve, conducting the Hosmer-Lemeshow test, and calculating the standardized mortality ratio (SMR).
Results
In total, 503 children were enrolled; the areas under the ROC curve for PRISM III, PIM 2, and PIM 3 were 0.775, 0.796, and 0.826, respectively. The area under the ROC curve was significantly greater for PIM 3 than for PIM 2 (P<0.001) and PRISM III (P=0.016). There were no significant differences in the Hosmer-Lemeshow test results for PRISM III (P=0.498), PIM 2 (P=0.249), and PIM 3 (P=0.337). The SMR calculated using PIM 3 (1.11) was closer to 1 than PIM 2 (0.84).
Conclusions
PIM 3 showed better prediction of the risk of mortality than PIM 2 for the Korean pediatric population admitted in the ICU.

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Clinical Features and Management of Status Epilepticus in the Pediatric Intensive Care Unit
Ekin Soydan, Yigithan Guzin, Sevgi Topal, Gulhan Atakul, Mustafa Colak, Pinar Seven, Ozlem Sarac Sandal, Gokhan Ceylan, Aycan Unalp, Hasan Agin
Pediatric Emergency Care.2023; 39(3): 142. CrossRef
Evaluation of the Performance of PRISM III and PIM II Scores in a Tertiary Pediatric Intensive Care Unit
Büşra Uzunay Gündoğan, Oğuz Dursun, Nazan Ülgen Tekerek, Levent Dönmez
Turkish Journal of Pediatric Emergency and Intensive Care Medicine.2023; 10(1): 8. CrossRef
Incidence and Mortality Trends in Critically Ill Children: A Korean Population-Based Study
Jaeyoung Choi, Esther Park, Ah Young Choi, Meong Hi Son, Joongbum Cho
Journal of Korean Medical Science.2023;[Epub] CrossRef
Internal validation and evaluation of the predictive performance of models based on the PRISM-3 (Pediatric Risk of Mortality) and PIM-3 (Pediatric Index of Mortality) scoring systems for predicting mortality in Pediatric Intensive Care Units (PICUs)
Zahra Rahmatinejad, Fatemeh Rahmatinejad, Majid Sezavar, Fariba Tohidinezhad, Ameen Abu-Hanna, Saeid Eslami
BMC Pediatrics.2022;[Epub] CrossRef
Performance of Pediatric Risk of Mortality III and Pediatric Index of Mortality III Scores in Tertiary Pediatric Intensive Unit in Saudi Arabia
Ahmed S. Alkhalifah, Abdulaziz AlSoqati, Jihad Zahraa
Frontiers in Pediatrics.2022;[Epub] CrossRef
Clinical implications of discrepancies in predicting pediatric mortality between Pediatric Index of Mortality 3 and Pediatric Logistic Organ Dysfunction-2
Eui Jun Lee, Bongjin Lee, You Sun Kim, Yu Hyeon Choi, Young Ho Kwak, June Dong Park
Acute and Critical Care.2022; 37(3): 454. CrossRef
Administrative data in pediatric critical care research—Potential, challenges, and future directions
Nora Bruns, Anna-Lisa Sorg, Ursula Felderhoff-Müser, Christian Dohna-Schwake, Andreas Stang
Frontiers in Pediatrics.2022;[Epub] CrossRef
Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission
Bongjin Lee, Kyunghoon Kim, Hyejin Hwang, You Sun Kim, Eun Hee Chung, Jong-Seo Yoon, Hwa Jin Cho, June Dong Park
Scientific Reports.2021;[Epub] CrossRef
Meta-Analysis for the Prediction of Mortality Rates in a Pediatric Intensive Care Unit Using Different Scores: PRISM-III/IV, PIM-3, and PELOD-2
Yaping Shen, Juan Jiang
Frontiers in Pediatrics.2021;[Epub] CrossRef
Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning Algorithm
Orkun Baloglu, Matthew Nagy, Chidiebere Ezetendu, Samir Q. Latifi, Aziz Nazha
Critical Care Explorations.2021; 3(10): e0561. CrossRef
Performance of Pediatric Index of Mortality in a Tertiary Care PICU in India
Nisha Toteja, Bharat Choudhary, Daisy Khera, Rohit Sasidharan, Prem Prakash Sharma, Kuldeep Singh
Journal of Pediatric Intensive Care.2021;[Epub] CrossRef

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