Prolonged Elevated Heart Rate and 90-Day Survival in Acutely Ill Patients: Data From the MIMIC-III Database

2018 ◽  
Vol 34 (8) ◽  
pp. 622-629 ◽  
Author(s):  
Veit Sandfort ◽  
Alistair E.W. Johnson ◽  
Lauren M. Kunz ◽  
Jose D. Vargas ◽  
Douglas R. Rosing
Keyword(s):  
Heart Rate ◽  
Logistic Regression ◽  
Intensive Care ◽  
Risk Of Death ◽  
Saps Ii ◽  
Increased Risk ◽  
Saps Ii Score ◽  
The Mean ◽  
Mimic Iii ◽  
Elevated Heart Rate

Purpose: We sought to evaluate the association of prolonged elevated heart rate (peHR) with survival in acutely ill patients. Methods: We used a large observational intensive care unit (ICU) database (Multiparameter Intelligent Monitoring in Intensive Care III [MIMIC-III]), where frequent heart rate measurements were available. The peHR was defined as a heart rate >100 beats/min in 11 of 12 consecutive hours. The outcome was survival status at 90 days. We collected heart rates, disease severity (simplified acute physiology scores [SAPS II]), comorbidities (Charlson scores), and International Classification of Diseases (ICD) diagnosis information in 31 513 patients from the MIMIC-III ICU database. Propensity score (PS) methods followed by inverse probability weighting based on the PS was used to balance the 2 groups (the presence/absence of peHR). Multivariable weighted logistic regression was used to assess for association of peHR with the outcome survival at 90 days adjusting for additional covariates. Results: The mean age was 64 years, and the most frequent main disease category was circulatory disease (41%). The mean SAPS II score was 35, and the mean Charlson comorbidity score was 2.3. Overall survival of the cohort at 90 days was 82%. Adjusted logistic regression showed a significantly increased risk of death within 90 days in patients with an episode of peHR ( P < .001; odds ratio for death 1.79; confidence interval, 1.69-1.88). This finding was independent of median heart rate. Conclusion: We found a significant association of peHR with decreased survival in a large and heterogenous cohort of ICU patients.

scholarly journals Association between High Cumulative Numbers of Elevated Heart Rate and Mortality in Neurological ICU patients: Retrospective Analysis of eICU Collaborative Research Database

2019 ◽  
Author(s):  
Dawei Zhou ◽  
Zhimin Li ◽  
Shaolan Zhang ◽  
Jianxin Zhou ◽  
Guangzhi Shi
Keyword(s):  
Heart Rate ◽  
Logistic Regression ◽  
Hospital Mortality ◽  
Collaborative Research ◽  
Research Database ◽  
Neurological Intensive Care Unit ◽  
Increased Risk ◽  
The Mean ◽  
Apache Iv ◽  
Elevated Heart Rate

Abstract Background Heart rate is routinely measured in Neurological intensive care unit(NICU), but its prognostic value remains debated. We sought to evaluate the association of high cumulative numbers of elevated Heart Rate (HcneHR) with mortality in NICU patients. Methods We used a large observational eICU Collaborative Research Database (eICU-CRD), where continous heart rate monitoring every 5 minute was available. We collected periodic heart rate, disease severity (APACHE IV score), NICU and hospital mortality and other information in 8347 patient admissions from the eICU-CRD. The cumulative numbers of Heart Rate (cneHR) were defined as >100 beats/min in first admittion 24 hours, and if cneHR ≥10,then was defined as higt cneHR(HcneHR). The primary outcome was NICU mortality. The other outcomes were hospital mortality, length of NICU stay and APACHE IV score. Multivariable logistic regression was used to assess for association for HcneHR and other covariance with NICU and hospiltal discharge status. Results The mean age of patients were 63 years, and the most frequent disease categories of NICU in eICU-CRD were postoperation (25%), stroke(19%), traumatic brain injury(14%). The mean APACHE IV score was 50. Overall NICU mortality of the cohort at discharge was 4%, and hospital mortality was 8%. The NICU mortality of HcneHR patients was 7%. Adjusted logistic regression for HcneHR showed a significantly increased risk of NICU death with odds ratio 1.61(confidence interval, 1.26-2.06; P <0 .001). Conclusions In adult neurocritically ill patients, we found a significant association for HcneHR with elevated mortality and several others important patient-centered outcomes.

scholarly journals Evaluation of Nurses’ Workload in the Intensive Care Unit, Neonatal Intensive Care Unit and Coronary Care Unit: An Analytical Study

2020 ◽  
Author(s):  
Maryam Azadi ◽  
Jalil Azimian ◽  
Maryam Mafi ◽  
Farnoosh Rashvand
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Analytical Study ◽  
Pearson Correlation ◽  
Risk Of Death ◽  
Increased Risk ◽  
The Mean ◽  
Coronary Care

Introduction: The workload on nurses can have adverse effects on the patient, nurse and healthcare system such as reduced quality of care, increased risk of nursing errors, reduced patient satisfaction, increased nurse anxiety, increased nursing job stress, increased risk of infection, increase in the length of hospital stay and increased risk of death. Aim: The present study was designed and conducted to compare nurses’ workload in the Intensive Care Unit (ICU), Neonatal Intensive Care Unit (NICU), and Coronary Care Units (CCU). Materials and Methods: The present study is a cross sectional analytical study that was conducted in the ICU, NICU and CCU of educational hospitals affiliated to Qazvin University of Medical Sciences. The convenience sampling method was used. A nursing activity score was used to assess nurses’ workload. The total score in this instrument is between zero and 178. Data were analysed using SPSS 16. Pearson correlation coefficient, chi-square, independent t-test, one-way analysis of variance was used. Results: The mean score of the total workload in nurses was 104.19±25.18. Regarding the primary purpose of the study, the results of the present study showed that the mean score of nurses’ workload was significantly higher in nurses working in the NICU than nurses working in the ICU and CCU (p<0.05). Among the demographic variables, only the marital status was significantly associated with nurses’ workload, that married nurses experienced more workload in some shifts (p<0.05). Conclusion: Nurses working in NICUs experienced a higher level of workload compared to the nurses in ICU and CCU. Due to the high workload of nurses in the NICU and the complications that this can cause for neonatal patients and nurses, it is necessary to pay more attention to the distribution of nurses in these wards.

A cluster-controlled clinical trial of two prophylactic silicone sacral dressings to prevent sacral pressure injuries in critically ill patients

2019 ◽  
pp. 21-26 ◽  
Author(s):  
Monica Stankiewicz ◽  
Jodie Gordon ◽  
Joel Dulhunty ◽  
Wendy Brown ◽  
Hamish Pollock ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Intensive Care ◽  
Similar Efficacy ◽  
Care Patient ◽  
Controlled Clinical Trial ◽  
Cost Difference ◽  
Increased Risk ◽  
Pressure Injury ◽  
Risk Patients ◽  
The Mean

Objective Patients in the intensive care unit (ICU) have increased risk of pressure injury (PI) development due to critical illness. This study compared two silicone dressings used in the Australian ICU setting for sacral PI prevention. Design A cluster-controlled clinical trial of two sacral dressings with four alternating periods of three months' duration. Setting A 10-bed general adult ICU in outer-metropolitan Brisbane, Queensland, Australia. Participants Adult participants who did not have a sacral PI present on ICU admission and were able to have a dressing applied for more than 24 hours without repeated dislodgement or soiling in a 24-hour period (>3 times). Interventions Dressing 1 (Allevyn Gentle Border Sacrum™, Smith & Nephew) and Dressing 2 (Mepilex Border Sacrum™, Mölnlycke). Main outcomes measures The primary outcome was the incidence of a new sacral PI (stage 1 or greater) per 100 dressing days in the ICU. Secondary outcomes were the mean number of dressings per patient, the cost difference of dressings to prevent a sacral PI and product integrity. Results There was no difference in the incidence of a new sacral PI (0.44 per 100 dressing days for both products, p = 1.00), the mean number of dressings per patient per day (0.50 for both products, p = 0.51) and product integrity (85% for Dressing 1 and 84% for Dressing 2, p = 0.69). There was a dressing cost difference per patient (A$10.29 for Dressing 1 and A$28.84 for Dressing 2, p < 0.001). Conclusions Similar efficacy, product use and product integrity, but differential cost, were observed for two prophylactic silicone dressings in the prevention of PIs in the intensive care patient. We recommend the use of sacral prophylactic dressings for at-risk patients, with the choice of product based on ease of application, clinician preference and overall cost-effectiveness of the dressing.

scholarly journals Early Prediction of Seven-Day Mortality in Intensive Care Unit Using a Machine Learning Model: Results from the SPIN-UTI Project

2021 ◽  
Vol 10 (5) ◽  
pp. 992
Author(s):  
Martina Barchitta ◽  
Andrea Maugeri ◽  
Giuliana Favara ◽  
Paolo Marco Riela ◽  
Giovanni Gallo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Learning Algorithm ◽  
Area Under The Curve ◽  
Support Vector ◽  
Icu Admission ◽  
Risk Of Death ◽  
Saps Ii ◽  
Svm Algorithm

Patients in intensive care units (ICUs) were at higher risk of worsen prognosis and mortality. Here, we aimed to evaluate the ability of the Simplified Acute Physiology Score (SAPS II) to predict the risk of 7-day mortality, and to test a machine learning algorithm which combines the SAPS II with additional patients’ characteristics at ICU admission. We used data from the “Italian Nosocomial Infections Surveillance in Intensive Care Units” network. Support Vector Machines (SVM) algorithm was used to classify 3782 patients according to sex, patient’s origin, type of ICU admission, non-surgical treatment for acute coronary disease, surgical intervention, SAPS II, presence of invasive devices, trauma, impaired immunity, antibiotic therapy and onset of HAI. The accuracy of SAPS II for predicting patients who died from those who did not was 69.3%, with an Area Under the Curve (AUC) of 0.678. Using the SVM algorithm, instead, we achieved an accuracy of 83.5% and AUC of 0.896. Notably, SAPS II was the variable that weighted more on the model and its removal resulted in an AUC of 0.653 and an accuracy of 68.4%. Overall, these findings suggest the present SVM model as a useful tool to early predict patients at higher risk of death at ICU admission.

Facility of Origin Predicts Mortality After Colonic Perforation

2020 ◽  
pp. 000313482097162
Author(s):  
Samuel D. Butensky ◽  
Emma Gazzara ◽  
Gainosuke Sugiyama ◽  
Gene F. Coppa ◽  
Antonio Alfonso ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Chronic Care ◽  
Care Facility ◽  
Colonic Perforation ◽  
Risk Of Death ◽  
Increased Risk ◽  
Chronic Care Facility ◽  
Partial Colectomy ◽  
Emergent Surgery ◽  
Perforated Viscus

Introduction Colonic perforation often requires emergent intervention and carries high morbidity and mortality. The objective of this study was to determine whether nonclinical factors, such as transition of care from outpatient facilities to inpatient settings, are associated with increased risk of mortality in patients who underwent emergent surgical intervention for colonic perforation. Materials and Methods Using the 2006-2015 ACS National Surgical Quality Improvement Program database, we identified adult patients who underwent emergent partial colectomy with primary anastomosis ± protecting ostomy or partial colectomy with ostomy with intraoperative finding of wound class III or IV for a diagnosis of perforated viscus. The outcome of interest was 30-day postoperative mortality. Univariate and multivariate analyses using logistic regression were performed. Results 4705 patients met criteria, of which 841 (17.9%) died. Univariate analysis showed that patients who died after emergent surgery for perforated viscus were more likely to present from a chronic care facility (13.4% vs. 4.4%, P < .0001) and had longer time from admission to undergoing surgery (mean 4.1 vs. 2.0 days, P < .0001. Logistic regression demonstrated that septic shock vs. none (OR 3.60, P < .0001), sepsis vs. none (OR 1.57, P = .00045), transfer from chronic care facility vs. home (OR 1.87, P < .0001), and increased time from admission vs. operation (OR 1.01, P = .0055) were independently associated with increased risk of death. Discussion Transfer from a chronic care facility was independently associated with increased mortality in patients undergoing emergent surgery for perforated viscus.

scholarly journals Increased Risk of Death, in the Hospital and Outside the Intensive Care Unit, for Patients With Cirrhosis After Cardiac Arrest

2017 ◽  
Vol 15 (11) ◽  
pp. 1808-1810 ◽  
Author(s):  
Megan E. Reinders ◽  
Gabriel Wardi ◽  
Ricki Bettencourt ◽  
Daniel Bouland ◽  
Jessica Bazick ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cardiac Arrest ◽  
Intensive Care ◽  
Risk Of Death ◽  
Increased Risk

Prognostic significance of international normalised ratio and prothrombin time in Chinese acute ischaemic stroke patients

2022 ◽  
pp. postgradmedj-2021-141204
Author(s):  
Shoujiang You ◽  
Qiao Han ◽  
Xiaofeng Dong ◽  
Chongke Zhong ◽  
Huaping Du ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischaemic Stroke ◽  
Prothrombin Time ◽  
Hospital Discharge ◽  
Acute Ischaemic Stroke ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Risk Of Death ◽  
Increased Risk ◽  
International Normalised Ratio

BackgroundWe investigated the association between international normalised ratio (INR) and prothrombin time (PT) levels on hospital admission and in-hospital outcomes in acute ischaemic stroke (AIS) patients.MethodsA total of 3175 AIS patients enrolled from December 2013 to May 2014 across 22 hospitals in Suzhou city were included. We divided patients into four groups according to their level of admission INR: (<0.92), Q2 (0.92–0.98), Q3 (0.98–1.04) and Q4 (≥1.04) and PT. Logistic regression models were used to estimate the effect of INR and PT on death or major disability (modified Rankin Scale score (mRS)>3), death and major disability (mRS scores 4–5) separately on discharge in AIS patients.ResultsHaving an INR level in the highest quartile (Q4) was associated with an increased risk of death or major disability (OR 1.69; 95% CI 1.23 to 2.31; P-trend=0.001), death (OR, 2.64; 95% CI 1.12 to 6.19; P-trend=0.002) and major disability on discharge (OR, 1.56; 95% CI 1.13 to 2.15; P-trend=0.008) in comparison to Q1 after adjusting for potential covariates. Moreover, in multivariable logistic regression models, having a PT level in the highest quartile also significantly increased the risk of death (OR, 2.38; 95% CI 1.06 to 5.32; P-trend=0.006) but not death or major disability (P-trend=0.240), major disability (P-trend=0.606) on discharge.ConclusionsHigh INR at admission was independently associated with death or major disability, death and major disability at hospital discharge in AIS patients and increased PT was also associated with death at hospital discharge.

scholarly journals Risk Factors for 28-Day Mortality Among COVID-19 Patients in an Intensive Care Unit of a Tertiary Care Center in Istanbul

2021 ◽  
Author(s):  
Ahmet Tolga Erol ◽  
Sinan Aşar ◽  
Mehmet Süleyman Sabaz ◽  
Beyza Ören Bilgin ◽  
Zafer Çukurova
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Query Language ◽  
Disease Risk ◽  
Tertiary Care ◽  
World Health ◽  
Laboratory Parameters ◽  
Risk Of Death ◽  
Hospitalization Period ◽  
The Mean

Objective: In late 2019, the Coronavirus disease 2019 (COVID-19) has been pandemic worldwide, starting in Wuhan, China. In this study, we aimed to evaluate the factors associated with 28-day outcomes in patients admitted to the intensive care unit with the diagnosis of COVID-19. Methods: This study has a retrospective cohort design. COVID-19 patients identified according to World Health Organization guidelines are included. Patient data were recorded to a centralized system utilizing ImdSoft-Meta vision/QlinICU Clinical Decision Support Software. Individual datasets about required parameters were obtained from Structured Query Language (SQL) queries. The main laboratory parameters were examined. SOFA, APACHE II, and Charlson Comorbidity Score (CCS) were calculated. In evaluating laboratory parameters and disease risk scores, which are thought to affect 28-day mortality, logistic analysis were performed using the Backward LR model. Results: The study was carried out with 101 patients, 40 (39.6%) of whom were women, and 61 (60.4%) of men, who met the inclusion criteria. The ages of the patients ranged from 21 to 88, and the mean age was 58.45 ± 15.41 years. The mean intensive care hospitalization period was 12.5 ± 10.2 days. The all-cause in-hospital mortality rate was 61.4%. Leukocyte count, CK, NT-proBNP, PCT, CRP, ferritin, neutrophil count and percentage, D-Dimer, LDH, AST values were found to be significantly higher in non-survivors. The lymphocyte count and percentage, and platelet count values were found to be significantly low in non-survivors. The lymphocyte percentage, LDH, and CCS were significant in the 28-day mortality in multivariate analysis (p values are 0.01, 0.003, 0.008, respectively). Conclusions: High lymphocyte values have been found to significantly reduce the risk of death in patients diagnosed with COVID-19. Lymphocyte percentage, LDH, and CCS were evaluated as the most successful parameters in predicting 28-day mortality in the intensive care unit.

Neonatal Outcomes Associated with Noncephalic Presentation at Delivery in Preterm Birth

2018 ◽  
Vol 35 (12) ◽  
pp. 1131-1137
Author(s):  
Annalisa Post ◽  
Geeta Swamy ◽  
Chad Grotegut ◽  
Amber Wood
Keyword(s):  
Intensive Care Unit ◽  
Multivariate Analysis ◽  
Intensive Care ◽  
Neonatal Intensive Care ◽  
Mode Of Delivery ◽  
Secondary Analysis ◽  
Neonatal Outcomes ◽  
Risk Of Death ◽  
Increased Risk ◽  
Stratified Analysis

Objective The objective of this study is to evaluate the effect of noncephalic presentation on neonatal outcomes in preterm delivery. Study Design In this study a secondary analysis of the BEAM trial was performed. It included women with singleton, liveborn, and nonanomalous fetuses. Neonatal outcomes were compared in noncephalic versus cephalic presentation. Adjusted odds ratios and 95% confidence intervals were calculated for each outcome with logistic regression while controlling for possible confounders. A stratified analysis by mode of delivery was also performed in this study. Results A total of 458 noncephalic deliveries were compared with 1,485 cephalic deliveries. In multivariate analysis, noncephalic presentation was associated with increased risk of death in the neonatal intensive care unit (NICU) or death at <15 months corrected gestational age (cGA), and a decreased risk of IVH. The risk of death persisted in stratified analysis, with increased risk of death at <15 months cGA in noncephalic neonates born via cesarean delivery. In the vaginal delivery group, there was an increased risk of death at <15 months cGA and NICU death. Conclusion After controlling for possible confounders, neonates who are noncephalic at delivery have higher risk for death <15 months cGA and death in the NICU while their risk of IVH is reduced. The risk of death persisted in stratified analyses by mode of delivery.

Age, Pulse Pressure and Salt Sensitivity of Blood Pressure Increase the Risk of Death in Normal and Hypertensive Humans.

Hypertension ◽  
2000 ◽  
Vol 36 (suppl_1) ◽  
pp. 684-684
Author(s):  
Myron H Weinberger ◽  
Naomi S Fineberg ◽  
Morris Weinberger ◽  
S. Edwin Fineberg
Keyword(s):  
Logistic Regression ◽  
Pulse Pressure ◽  
Initial Study ◽  
Cardiovascular Death ◽  
Salt Sensitivity ◽  
Stepwise Logistic Regression ◽  
Volume Depletion ◽  
Stepwise Logistic Regression Analysis ◽  
Risk Of Death ◽  
Increased Risk

36 We recently ascertained 376 initially normotensive (N) and 197 initially hypertensive (H) subjects among a group of 544 studied for the assessment of salt sensitivity (SS) at least 25 years ago to identify factors associated with morbidity and mortality. The age range when initially studied was 18-80 years. For this report we analyzed demographic factors as well as pulse pressure (PP), SS and renin status based on the response to sodium and volume depletion. Of the total ascertained, 108 (42 N, 66 H) have died. Stepwise logistic regression analysis revealed that total death was associated with each 1 mmHg increase in PP (odds ratio-OR 1.04,p<0.001) year of age (OR 1.03,p<0.001)and SS (OR 2.17,p<0.003). An inverse relationship between renin levels and deaths were observed, with low renin status associated with an increased risk (p<0.001). When known cardiovascular death was examined separately by stepwise logistic regression, PP (OR 1.06,p<0.001) age (OR 1.06,p<0.001) and gender (female OR 0.34,p<0.005) emerged as important factors. H at the time of initial study also was associated with reduced survival (p<0.003). Renin status was not found to be associated with total or cardiovascular death after adjusting the observations for age. These observations provide confirmation of earlier studies identifying the contribution of age, gender, H and PP to the risk of cardiovascular disease and mortality. A 4% increase in risk of death with each 1 mmHg increase in PP can be identified from these data. The novel finding of an independent contribution of SS to death requires further investigation.

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