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1.
Journal of the Korean Society of Emergency Medicine ; : 305-314, 2020.
Article | WPRIM | ID: wpr-834921

ABSTRACT

Objective@#This study evaluated the usefulness, as a risk factor of 30-day mortality, in patients residing in nursing-homes (NHs) or long-term care facilities with the diagnosis of pneumonia. @*Methods@#We conducted a retrospective study in a public hospital between January 2017 and December 2017. The subjects included elderly patients residing in NHs and diagnosed with pneumonia in the emergency room. Data on age, gender, comorbidities, laboratory findings, pneumonia severity index score (PSI), and CURB-65 (Confusion, Urea, Respiratory rate, Blood pressure, and Age 65 or older) were entered into an electronic database. @*Results@#A total of 439 patients were enrolled during the study period. The mean age was 82.1±8.0 years; 195 (44.4%) were men, and 30-day mortality was 21.8%. On multivariate Cox proportional hazard analysis, cerebrovascular accidents (hazard ratio [HR], 0.53; 95% confidence interval [CI], 0.33-0.87; P=0.012), chronic renal disease (HR, 2.28; 95% CI, 1.11-4.67; P=0.024), malignancy (HR, 1.69; 95% CI, 1.04-2.76; P=0.034), lactate (HR, 1.02; 95% CI, 1.01-1.03; P<0.001), albumin (HR, 0.52; 95% CI, 0.36-0.73; P<0.001), and red cell distribution width (RDW; HR, 1.11; 95% CI, 1.03- 1.19; P=0.007) were independently associated with 30-day mortality. Areas under the curve of PSI, RDW, albumin, lactate, and PSI+RDW+albumin+lactate were 0.690 (95% CI, 0.629-0.751), 0.721 (95% CI, 0.666-0.775), 0.668 (95% CI, 0.607-0.728), 0.661 (95% CI, 0.597-0.726), and 0.801 (95% CI, 0.750-0.852), respectively. @*Conclusion@#RDW, albumin, lactate and especially the combination of PSI and these factors appear to be major determinants of 30-day mortality in NH residents with pneumonia.

2.
Journal of the Korean Society of Emergency Medicine ; : 200-209, 2020.
Article | WPRIM | ID: wpr-834885

ABSTRACT

Objective@#Community-acquired pneumonia (CAP) in older patients is a potentially life-threatening infection with a poorprognosis. Therefore, is important to predict the mortality rate of CAP for older patients. This study examined the effectsof predictive increases on CAP mortality by adding a biomarker to known CAP severity prediction tools. @*Methods@#A retrospective analysis of information was conducted on patients older than 65 years, who were treated withCAP in five emergency departments from October 2016 to February 2017. The primary outcome was the 28-day mortality.The following were calculated for each patient: qSOFA (quick Sequential Organ Failure Assessment), A-DROP (Age,Dehydration, Respiratory failure, Orientation, blood Pressure), CURB-65 (Confusion, Urea level, Respiratory rate, Bloodpressure, age≥65 years), SMART-COP (Systolic blood pressure, Multilobar infiltrates, Albumin, Respiratory rate,Tachycardia, Confusion, Oxygen and pH), NLR (neutrophil:lymphocyte ratio), PLR (platelet:lymphocyte ratio), and CAR(high-sensitivity C-reactive protein:albumin ratio). The prognostic value for the 28-day mortality was determined by multivariatelogistic regression analysis. @*Results@#The 28-day mortality was 12.0% of 693 CAP patients. Multivariate logistic regression analysis showed that lactate(odds ratio [OR], 1.589; P<0.001) and CAR (OR, 1.208; P=0.006) were correlated with the 28-day mortality. NLR(OR, 1.00; P=0.983) and PLR (OR, 1.00; P=0.784) were not correlated. The area under curve (AUC) was significant asCAR 0.649, lactate 0.737, and SMART-COP 0.735 (P<0.001), and the AUC of lactate+SMART-COP increased significantlyto 0.784 compared to SMART-COP (P=0.014). @*Conclusion@#A combination of lactate and SMART-COP can be used as a tool to assess the severity of older hospitalizedCAP patients who visited emergency departments.

3.
Journal of the Korean Society of Emergency Medicine ; : 555-562, 2019.
Article in Korean | WPRIM | ID: wpr-916507

ABSTRACT

OBJECTIVE@#The purpose of this study was to test the hypothesis that an increase in the neutrophil-to-lymphocyte ratio (NLR) increases the risk of in-hospital density in patients aged 65 and older, who are hospitalized in intensive care through the emergency rooms.@*METHODS@#A retrospective medical record study was conducted on elderly patients who were admitted to intensive care units via the emergency room. The exclusion criteria were data loss, intensive care unit reentry, cerebrovascular accidents, hematologic disease, and trauma cases.@*RESULTS@#The study included 526 patients; the mean age was 79, and 261 (49.6%) were male. The in-hospital mortality was 18.4% (97 patients). The initial NLR was higher in the non-survivor group than the survivor group, but the difference was not statistically significant (9.82±11.02 vs. 11.48±6.11, P=0.080). In multivariate logistic analysis, the initial NLR had no statistical significance, and the odd ratio was increased from one day later. Comparing the receiver operating characteristic curve of the NLR and Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) scores, the NLR showed an increase in the area of under curve (AUC) value over time as well as the highest AUC with the SAPS II scores.@*CONCLUSION@#In elderly adults, early NLR was found to have weak power to predict in-hospital mortality. Over time, the NLR values more than two days after intensive care unit admission may be useful in predicting the in-hospital mortality for older patients. This may be due to the delay in the immune response and the complex medical history.

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