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.

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.

The Impact of Heart Rate Circadian Rhythm on In-hospital Mortality in Stroke and Critically Ill Patients: Insights from the eICU Collaborative Research Database

2022 ◽  
Author(s):  
Zhengning Yang ◽  
Zhe Li ◽  
Xu He ◽  
Zhen Yao ◽  
XiaoXia Xie ◽  
...  
Keyword(s):  
Heart Rate ◽  
Circadian Rhythm ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Peak Time ◽  
Research Database ◽  
Discriminative Ability ◽  
The Impact ◽  
Apache Iv

Abstract Background: The dysregulation of the heart rate circadian rhythm has been documented to be an independent risk factor in multiple diseases. However, data showing the impact of dysregulated heart rate circadian rhythm in stroke and critically ill patients are scarce.Methods: Stroke and critically ill patients in the ICU between 2014 and 2015 from the recorded eICU Collaborative Research Database were included in the current analyses. The impact of circadian rhythm of heart rate on in-hospital mortality was analyzed. Three variables, Mesor (rhythm-adjusted mean of heart rate), Amplitude (distance from the highest point of circadian rhythm of heart rate to Mesor), and Peak time (time when the circadian rhythm of heart rate reaches the highest point) were used to evaluate the heart rate circadian rhythm. The incremental value of circadian rhythm variables in addition to Acute Physiology and Chronic Health Evaluation (APACHE) IV score to predict in-hospital mortality was also explored.Results: A total of 6,201 eligible patients were included. The in-hospital mortality was 16.2% (1,002/6,201). The circadian rhythm variables of heart rate, Mesor, Amplitude, and Peak time, were identified to be independent risk factors of in-hospital mortality. After adjustments, Mesor per 10 beats per min (bpm) increase was associated with a 1.17-fold (95%CI: 1.11, 1.24, P<0.001) and Amplitude per 5 bpm was associated with a 1.14-fold (95%CI: 1.06, 1.24, P<0.001) increase in the risk of in-hospital mortality, respectively. The risk of in-hospital mortality was lower in patients who had Peak time reached between 18:00-24:00 or 00:00-06:00; whereas the risk was highest in patients who had Peak time reached between 12:00-18:00 (OR: 1.33, 95%CI: 1.05, 1.68, P=0.017). Compared with APACHE IV score only (c-index=0.757), combining APACHE IV score and circadian rhythm variables of heart rate (c-index=0.766) was associated with increased discriminative ability (P=0.003).Conclusion: Circadian rhythm of heart rate is an independent risk factor of the in-hospital mortality in stroke and critically ill patients. Including circadian rhythm variables regarding heart rate might increase the discriminative ability of the risk score to predict the short-term prognosis of patients.

Association Between the Non-HDL-Cholesterol-to-HDL-Cholesterol Ratio and 28-Day Mortality in Septic Patients: A Cohort Study Based on the eICU Collaborative Research Database

2021 ◽  
Author(s):  
Le Chang ◽  
Xinglin Chen ◽  
Cheng Lian
Keyword(s):  
Cohort Study ◽  
High Density Lipoprotein ◽  
High Density Lipoprotein Cholesterol ◽  
Collaborative Research ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Lipoprotein Cholesterol ◽  
Research Database ◽  
Increased Risk ◽  
All Cause Mortality

Abstract Background: Dyslipidemia contributes to the development and progression of cardiovascular disease. However, the potential association between non-high-density lipoprotein-cholesterol-to-high-density lipoprotein-cholesterol (nonHDLc/HDLc) ratio and mortality in septic patients is unclear.Methods: This was a retrospective cohort study of patients with sepsis in the eICU Collaborative Research Database (eICU-CRD) from 208 distinct ICUs across the United States between 2014 and 2015. All-cause mortality within 28-days after ICU admission. A multivariable logistic regression model was used to estimate the risk of death.Result: Of the 724 patients with a median age of 68 years, 43 (5.94%) died within 28 days after ICU admission. The association between the nonHDLc/HDLc ratio and the risk of all cause mortality was J shaped, and a high level was associated with increased risk of all cause mortality. The mortality rate increased when the nonHDLc/HDLc ratio higher than the turning point (≥3.41) with an adjusted odds ratio (OR) of 1.34 (95% CI: 1.07–1.67, P=0.010) for every 1 increment of nonHDLc/HDLc ratio. With the per-SD increase in the nonHDLc/HDLc ratio, the OR of mortality was 1.79 (95% CI: 1.15–2.80, P=0.010) when the nonHDLc/HDLc ratio was ≥3.41. The trend of sensitivity analysis was consistent with the main analysis.Conclusion: For patients with sepsis, the association between the nonHDLc/HDLc ratio and the 28-day mortality risk was J shaped. A higher level of nonHDLc/HDLc ratio was associated with an increased risk of 28-day mortality. These findings need to be confirmed in other studies.

Abstract 17292: Does Morbid Obesity Worsens Outcomes in COVID-19?

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Sohaib Roomi ◽  
Waqas Ullah ◽  
Nayab Nadeem ◽  
Rehan Saeed ◽  
Donald Haas ◽  
...  
Keyword(s):  
Morbid Obesity ◽  
Mechanical Ventilation ◽  
Hospital Mortality ◽  
Invasive Mechanical Ventilation ◽  
Multivariate Logistic Regression Analysis ◽  
Odds Ratios ◽  
Increased Risk ◽  
Significant Difference ◽  
The Mean ◽  
Mean Differences

Introduction: Given the high prevalence of obesity around the globe, patients with coronavirus disease 2019 (COVID-19) are at an increased risk of devastating complications. Hypothesis: We hypothesize that morbid obesity is independently associated with increased risk of in-hospital mortality, upgrade to intensive care unit, invasive mechanical ventilation(IVM), and acute renal failure necessitating dialysis. Methods: A retrospective cohort study was performed to determine the association of basal metabolic index (BMI) with the above-mentioned outcomes. Independent t-test and multivariate logistic regression analysis were performed to calculate mean differences and adjusted odds ratios (aOR) with its 95% confidence interval (CI), respectively. Results: A total of 176 patients with confirmed COVID-19 diagnosis were included. The mean age was 62.2 years, with 51% of male patients. The mean BMI for non-surviving patients was significantly higher compared to patients surviving on the 7th day of hospitalization (35 vs. 30 kg/m2, p=0.022) and patients with a higher BMI had higher in-hospital mortality (21% vs. 9%, OR 3.2, 95% CI 1.3-8.2, p=0.01) compared to patients with a normal BMI. Similarly, patients requiring IMV had a higher BMI (33 vs. 29, p=0.002) compared to non-intubated patients. aOR of patients needing IMV (56% vs. 28%, OR 3.3, 95% CI 1.6-7.0, p=0.002) and upgrade to ICU (46% vs. 28%, OR 2.2, 1.07-4.6, p=0.04) were significantly higher compared to patients with a lower BMI. There was no significant difference between the two groups in terms of the need for dialysis (5% vs. 13%, OR 3.8, 13% vs. 4%, 1.1-14.1, p=0.07). Adjusted odds ratios controlled for baseline comorbidities and medications mirrored the overall results, except for the need to upgrade to ICU. Conclusions: In patients with confirmed COVID-19, morbid obesity serves as an independent risk factor of high in-hospital mortality and the need for invasive mechanical ventilation.

Gender and Regional Differences in In-Hospital Mortality in Patients with Sickle Cell Anemia (SCA) in the United States: Results from the Nationwide Inpatient Sample (NIS) 1993-2003.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 461-461
Author(s):  
Carlton Haywood ◽  
Sophie Lanzkron
Keyword(s):  
Logistic Regression ◽  
Hospital Mortality ◽  
Hospital Death ◽  
Age At Death ◽  
Patient Age ◽  
Time Period ◽  
Patient Âgé ◽  
The Mean ◽  
Over Time ◽  
Age Of Death

Abstract Background: The purpose of this study was to use the NIS to describe hospital utilization and in-hospital mortality among adults with SCA in the US between 1993-2003. Methods: The NIS is designed to approximate a 20% stratified sample of U.S. community hospitals. We restricted our analyses to discharge records with ICD-9-CM diagnosis codes 28261 or 28262 (SCA without/with crisis), and where the age was listed as 18 or older. Analyses were conducted using tests of linear combinations of coefficients, χ2, and linear and logistic regression. Results: There were an estimated 705,080 hospitalizations over the time period (mean of 64,098 hospitalizations/year). 54% of all hospitalizations were for females. 50% of the hospitalizations were expected to be paid for by Medicaid. The mean patient age over the time period was 31.3 yrs. The mean patient age increased from 30.3 in 1993 to 32.1 in 2003 (p &lt; 0.001). Mean age over time increased even after adjusting for the gender makeup and hospital region (β=0.162, p &lt; 0.001). There were no gender differences in the median age (30) of patients. Mean length of stay (LOS) was 6.5 days for the time period. LOS decreased from 7.5 days in 1993 to 6.4 days in 2003 (p=0.001). Adult women experienced longer LOS than adult men (6.8 days vs. 6.3 days, p &lt;0.001). This difference remained significant even after controlling for age, time, insurance status, and hospital region (β = 0.49, p&lt;0.001). Mean charges/discharge increased from $16,799 in 1993 to $22,281 in 2003, even after adjusting for inflation (p &lt; 0.001). There were an estimated 4497 in-hospital deaths during the time period (0.64% of hospitalizations). The median age at death was 38. The median age at death increased from 35 in 1993 to 42 in 2003 (p = 0.0061). This was due to an increase in age of death (39) for women (p=0.0052). In men the median age of death (37) did not change over time(p=0.4352). In bivariate analyses of median age at death, women were older than men (39 vs. 37 p=0.0056). A simple logistic regression of deaths over time found no significant trends in the odds of an in-hospital death over the time period. In a multivariate model of death over time patients in the South and the West experienced higher odds of an in-hospital death than patients in the Northeast and Midwest. Conclusions: Our analysis shows that women with SCA have longer in-hospital LOS than men, and are older in age at death than men. While the median age at death among persons hospitalized with SCA has been increasing since 1993, this increase is seen exclusively in women. There has been no change in longevity in men hospitalized with SCA over the time period studied.

scholarly journals Relative platelet reductions provide better pathophysiologic signatures of coagulopathies in sepsis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daisuke Kasugai ◽  
Masayuki Ozaki ◽  
Kazuki Nishida ◽  
Yukari Goto ◽  
Kunihiko Takahashi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hospital Mortality ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
The United States ◽  
Research Database ◽  
Mixed Effect ◽  
Platelet Counts ◽  
The Impact

AbstractIn sepsis-associated coagulopathies and disseminated intravascular coagulation, relative platelet reductions may reflect coagulopathy severity. However, limited evidence supports their clinical significance and most sepsis-associated coagulopathy criteria focus on the absolute platelet counts. To estimate the impact of relative platelet reductions and absolute platelet counts on sepsis outcomes. A multicenter retrospective observational study was performed using the eICU Collaborative Research Database, comprising 335 intensive care units (ICUs) in the United States. Patients with sepsis and an ICU stay > 2 days were included. Estimated effects of relative platelet reductions and absolute platelet counts on mortality and coagulopathy-related complications were evaluated. Overall, 26,176 patients were included. Multivariate mixed-effect logistic regression analysis revealed marked in-hospital mortality risk with larger platelet reductions between days one and two, independent from the resultant absolute platelet counts. The adjusted odds ratio (OR) [95% confidence intervals (CI)] for in-hospital mortality was 1.28[1.23–1.32], 1.86[1.75–1.97], 2.99[2.66–3.36], and 6.05[4.40–8.31] for 20–40%, 40–60%, 60–80%, and > 80% reductions, respectively, when compared with a < 20% decrease in platelets (P < 0.001 for each). In the multivariate logistic regression analysis, platelet reductions ≥ 11% and platelet counts ≤ 100,000/μL on day 2 were associated with high coagulopathy-related complications (OR [95%CI], 2.03 and 1.18; P < 0.001 and P < 0.001), while only platelet reduction was associated with thromboembolic complications (OR [95%CI], 1.43 [1.03–1.98], P < 0.001). The magnitude of platelet reductions represent mortality risk and provides a better signature of coagulopathies in sepsis; therefore, it is a plausible criterion for sepsis-associated coagulopathies.

scholarly journals Admission Oxygen Saturation and Mortality in Acute Pulmonary Embolism Patients: Observational Data From Large ICU Databases

2021 ◽  
Author(s):  
Xiaolin Xu ◽  
Anping Peng ◽  
Jing Tian ◽  
Runnan Shen ◽  
Guochang You ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Logistic Regression ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Oxygen Saturation ◽  
Acute Pulmonary Embolism ◽  
Research Database ◽  
Optimal Range ◽  
Subgroup Analyses ◽  
The Relationship

Abstract Background The relationship between blood oxygenation and clinical outcomes of acute pulmonary embolism (APE) patients in intensive care unit (ICU) is unclear, which could be nonlinear. The study aimed to determine the association between admission pulse oximetry-derived oxygen saturation (SpO2) levels and mortality, and to determine the optimal range with real-world data. Methods Patients diagnosed with APE on admission and staying in ICU for at least 24 hours in the Medical Information Mart for Intensive Care III (MIMIC-III) database and the eICU Collaborative Research Database (eICU-CRD) were included. Logistic regression and restricted cubic spline (RCS) models were applied to determine the nonlinear relationship between mean SpO2 levels within the first 24 hours after ICU admission and in-hospital mortality, from which we derived an optimal range of SpO2. Subgroup analyses were based on demographics, treatment information, scoring system and comorbidities. Results We included 1109 patients who fulfilled inclusion criteria, among whom 129 (12%) died during hospitalization and 80 (7.2%) died in ICU. The RCS showed that the relationship between admission SpO2 levels and in-hospital mortality of APE patients was nonlinear and U-shaped. The optimal range of SpO2 with the lowest mortality was 95–98%. Multivariate stepwise logistic regression analysis with backward elimination confirmed that the admission SpO2 levels of 95%-98% was associated with decreased hospital mortality compared to the group with SpO2 < 95% (Odds ratio [OR] = 2.321; 95% confidence interval [CI]: 1.405–3.786; P < 0.001) and 100% (OR = 2.853; 95% CI: 1.294–5.936; P = 0.007), but there was no significant difference compared with 99% SpO2 (OR = 0.670, 95% CI: 0.326–1.287; P > 0.05). This association was consistent across subgroup analyses. Conclusions The relationship between admission SpO2 levels and in-hospital mortality followed a U-shaped curve among patients with APE. The optimal range of SpO2 for APE patients was 95–98%.

scholarly journals Nigral Iron Deposition Is Associated With Levodopa-Induced Dyskinesia in Parkinson’s Disease

2021 ◽  
Vol 15 ◽  
Author(s):  
Tianbin Song ◽  
Jiping Li ◽  
Shanshan Mei ◽  
Xiaofei Jia ◽  
Hongwei Yang ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Logistic Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Iron Deposition ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Increased Risk ◽  
Left And Right ◽  
The Mean

ObjectiveTo investigate iron deposition in the substantia nigra (SN) of Parkinson’s disease (PD) patients associated with levodopa-induced dyskinesia (LID).MethodsSeventeen PD patients with LID, 17 PD patients without LID, and 16 healthy controls were recruited for this study. The mean QSM values of the whole, left, and right SN were compared among the three groups. A multivariate logistic regression model was constructed to determine the factors associated with increased risk of LID. The receiver operating characteristic curve of the QSM value of SN in discriminating PD with and without LID was evaluated.ResultsThe mean QSM values of the whole and right SN in the PD with LID were higher than those in the PD without LID (∗P = 0.03, ∗P = 0.03). Multivariate logistic regression analysis revealed that the QSM value of whole, left, or right SN was a predictor of the development of LID (∗P = 0.03, ∗P = 0.04, and ∗P = 0.04). The predictive accuracy of LID in adding the QSM value of the whole, left, and right SN to LID-related clinical risk factors was 70.6, 64.7, and 67.6%, respectively. The QSM cutoff values between PD with and without LID of the whole, left, and right SN were 148.3, 165.4, and 152.7 ppb, respectively.ConclusionThis study provides the evidence of higher iron deposition in the SN of PD patients with LID than those without LID, suggesting that the QSM value of the SN may be a potential early diagnostic neuroimaging biomarker for LID.

scholarly journals Elevated heart rate at 24–36h after admission and in-hospital mortality in acute in non-arrhythmic heart failure

2015 ◽  
Vol 182 ◽  
pp. 426-430 ◽  
Author(s):  
Patrizio Lancellotti ◽  
Arnaud Ancion ◽  
Julien Magne ◽  
Giovanni Ferro ◽  
Luc A. Piérard
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Hospital Mortality ◽  
Elevated Heart Rate
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