scholarly journals Association between diarrhea quantity and in-hospital mortality in intensive care unit patients: A retrospective cohort study

2021 ◽  
Author(s):  
Ryohei Yamamoto ◽  
Hajime Yamazaki ◽  
Shungo Yamamoto ◽  
Yuna Ueta ◽  
Ryo Ueno ◽  
...  
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Primary Outcome ◽  
Medical Center ◽  
Icu Patients ◽  
Failure Assessment ◽  
Comorbidity Index

Abstract Background Previous studies have shown that diarrhea is associated with increased mortality of patients in intensive care units (ICUs). However, these studies used dichotomized cutoff values, even if diarrhea was a continuous condition. This study aimed to assess the association between diarrhea quantity and mortality in ICU patients with newly developed diarrhea. Methods We conducted this single-center retrospective cohort study at the Kameda Medical Center ICU. We consecutively included all adult ICU patients with newly developed diarrhea in the ICU between January 2017 and December 2018. Newly developed diarrhea was defined based on a Bristol stool chart scale ≥ 6 and frequency of diarrhea ≥ 3 times per day. We excluded patients who already had diarrhea on the day of ICU admission among other criteria. We collected data on the quantity of diarrhea on the day when patients newly developed diarrhea. The primary outcome was in-hospital mortality. The risk ratio (RR) and 95% confidence interval (CI) for the association between the quantity of diarrhea and mortality were estimated using multivariable-modified Poisson regression models adjusted for the Charlson Comorbidity Index, sequential organ failure assessment score, and serum albumin levels. Results Among 231 participants, 68.4% (158/231) were men; the median age of the patients was 72 years. The median quantity of diarrhea was 401 g (interquartile range [IQR] 230‒645 g), and in-hospital mortality was 22.9% (53/231). More diarrhea at baseline was associated with higher in-hospital mortality; the unadjusted RR (95% CI) per 200-g increase was 1.10 (1.01‒1.19). This association remained in the multivariable-adjusted analysis; the adjusted RR (95% CI) per 200-g increase was 1.10 (1.01‒1.20). Conclusions A greater quantity of diarrhea was an independent risk factor for in-hospital mortality. The quantity of diarrhea may be an indicator of disease severity in ICU patients.

Evaluation of qSOFA as a Predictor of Mortality Among ICU Patients With Positive Clinical Cultures—A Retrospective Cohort Study

2019 ◽  
Vol 35 (11) ◽  
pp. 1278-1284
Author(s):  
Barry Kelly ◽  
Johann Patlak ◽  
Shahzad Shaefi ◽  
Dustin Boone ◽  
Ariel Mueller ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Sequential Organ Failure Assessment ◽  
Organ Failure ◽  
Retrospective Cohort ◽  
Primary Outcome ◽  
Assessment Score ◽  
Failure Assessment ◽  
Discriminative Value

Objective: To compare the discriminative value of the quick-sequential organ failure assessment score (qSOFA) to SOFA in a critically ill population, in which a microbial pathogen was isolated within 48 hours of admission to intensive care. Design: Retrospective cohort study. Setting: Academic tertiary referral center from July 2008 to June 2017. Patients: Hospitalized patients admitted to intensive care unit. Interventions: None. Measurements and Main Results: The primary outcome was in-hospital mortality for all patients with confirmed positive microbiological cultures within 48 hours of admission to intensive care unit (ICU). Subgroup analysis was performed on patients with pathogenic bacteremia or positive cultures in cerebrospinal fluid. Of the 11 415 patients analyzed with positive microbiology specimens within 48 hours of admission, 2933 (25.7%) had a qSOFA ≥2. Of these, 16.6% reached the primary outcome of in-hospital mortality. Unsurprisingly, the discriminative value of qSOFA on admission was significantly worse than that of SOFA (0.73 vs 0.76; P = .0004), despite observing a significant association between qSOFA category and in-hospital mortality ( P < .0001). In secondary analyses, similar observations were found using qSOFA within 6 and 24 hours of ICU admission. When analysis was focused on patients with pathogenic bacteremia or positive cerebrospinal fluid (CSF) cultures (n = 1646), there was no significant difference between the discriminative value of qSOFA and SOFA (0.75 vs 0.78; P = .17). Conclusions: Quick-sequential organ failure assessment score at admission was not superior to SOFA in predicting in-hospital mortality in patients with positive clinical cultures within 48 hours of admission to ICU. Quick-sequential organ failure assessment score at admission to the ICU was associated with mortality and showed reasonable calibration and discrimination. When the analysis was focused on patients with pathogenic bacteremia or positive CSF cultures, qSOFA performed similarly to SOFA in discriminatory those who will die from sepsis.

A Retrospective Comparison of the Effectiveness and Safety of Intravenous Olanzapine Versus Intravenous Haloperidol for Agitation in Adult Intensive Care Unit Patients

2021 ◽  
pp. 088506662098445
Author(s):  
Michelle Wang ◽  
Tuyen T. Yankama ◽  
George T. Abdallah ◽  
Ijeoma Julie Eche ◽  
Kristen N. Knoph ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cohort Study ◽  
Intensive Care ◽  
Length Of Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Medical Center ◽  
Academic Medical Center ◽  
Icu Length Of Stay ◽  
Haloperidol Group

Objective: Intravenous (IV) olanzapine could be an alternative to first-generation antipsychotics for the management of agitation in intensive care unit (ICU) patients. We compared the effectiveness and safety of IV olanzapine to IV haloperidol for agitation management in adult patients in the ICU at a tertiary academic medical center. Methods: A retrospective cohort study was conducted. The primary outcome was the proportion of patients who achieved a Richmond Agitation Sedation Scale (RASS) score of < +1 within 4 hours of IV olanzapine or IV haloperidol administration. Secondary outcomes included the proportion of patients who required rescue medications for agitation within 4 hours of initial IV olanzapine or IV haloperidol administration, incidence of adverse events and ICU length of stay. Results: In the 192 patient analytic cohort, there was no difference in the proportion of patients who achieved a RASS score of < +1 within 4 hours of receiving IV olanzapine or IV haloperidol (49% vs. 42%, p = 0.31). Patients in the IV haloperidol group were more likely to receive rescue medications (28% vs 55%, p < 0.01). There was no difference in the incidence of respiratory events or hypotension between IV olanzapine and IV haloperidol. Patients in the IV olanzapine group experienced more bradycardia (11% vs. 3%, p = 0.04) and somnolence (9% vs. 1%, p = 0.02) compared to the IV haloperidol group. Patients in the IV olanzapine group had a longer median ICU length of stay (7.5 days vs. 5 days, p = 0.04). Conclusion: In this retrospective cohort study, there was no difference in the effectiveness of IV olanzapine compared to IV haloperidol for the management of agitation. IV olanzapine was associated with an increased incidence of bradycardia and somnolence.

scholarly journals Thromboembolic Rates Are Similar Between Intensive Care Unit and Nonintensive Care Unit Hospitalized Patients With Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2): A Retrospective Cohort Study

2021 ◽  
Vol 27 ◽  
pp. 107602962110533
Author(s):  
Heidi Worth ◽  
Kasey Helmlinger ◽  
Renju Raj ◽  
Eric Heidel ◽  
Ronald Lands
Keyword(s):  
Intensive Care Unit ◽  
Cohort Study ◽  
Intensive Care ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Thromboembolic Event ◽  
Hospitalized Patients ◽  
Thromboembolic Events ◽  
Icu Patients ◽  
Increased Risk

High rates of thromboembolic events have been described in intensive care unit (ICU) patients. Data regarding thromboembolic events in all hospitalized patients has been less frequently reported, raising concerns that thromboembolic events in non-ICU may be underrecognized. In addition, optimal anticoagulation type and dose is still unsettled at this time. This is a retrospective cohort study of 159 hospitalized patients with coronavirus disease 2019 (COVID-19) pneumonia during a 9-month period to determine an association between the frequency of thromboembolic rates and hospitalized patients with COVID-19. Secondary outcomes sought to investigate association of thromboembolic events with relation to place of admission, risk factors, anticoagulation, mortality, hospital length of stay, and discharge disposition. Among the cohort of 159 hospitalized patients who met criteria, 16 (10%) were diagnosed with a thromboembolic event. There were a total of 18 thromboembolic events with 12 venous and 6 arterial. Admission to the ICU was not associated with a higher frequency of thromboembolic events compared with non-ICU patients (37.5% vs 62.5%), p = .71. Patients with a thromboembolic event had a significantly higher mortality compared with those with no thromboembolic event (37.5% vs 13.3%), p = .012. Patients hospitalized with COVID-19 have increased rates of thromboembolic events, both venous and arterial, which contribute to a significant increase in mortality. However, the frequency of thromboembolism in patients admitted to the ICU was similar to events in non-ICU patients. We hope to increase awareness of the increased risk of hypercoagulability in all hospitalized patients with COVID-19 including non-ICU patients.

scholarly journals Performance in mortality prediction of SAPS 3 And MPM-III scores among adult patients admitted to the ICU of a private tertiary referral hospital in Tanzania: a retrospective cohort study

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12332
Author(s):  
Nadeem Kassam ◽  
Eric Aghan ◽  
Samina Somji ◽  
Omar Aziz ◽  
James Orwa ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cohort Study ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Goodness Of Fit ◽  
Tertiary Referral ◽  
Goodness Of Fit Test ◽  
Saps 3

Background Illness predictive scoring systems are significant and meaningful adjuncts of patient management in the Intensive Care Unit (ICU). They assist in predicting patient outcomes, improve clinical decision making and provide insight into the effectiveness of care and management of patients while optimizing the use of hospital resources. We evaluated mortality predictive performance of Simplified Acute Physiology Score (SAPS 3) and Mortality Probability Models (MPM0-III) and compared their performance in predicting outcome as well as identifying disease pattern and factors associated with increased mortality. Methods This was a retrospective cohort study of adult patients admitted to the ICU of the Aga Khan Hospital, Dar- es- Salaam, Tanzania between August 2018 and April 2020. Demographics, clinical characteristics, outcomes, source of admission, primary admission category, length of stay and the support provided with the worst physiological data within the first hour of ICU admission were extracted. SAPS 3 and MPM0-III scores were calculated using an online web-based calculator. The performance of each model was assessed by discrimination and calibration. Discrimination between survivors and non–survivors was assessed by the area under the receiver operator characteristic curve (ROC) and calibration was estimated using the Hosmer-Lemeshow goodness-of-fit test. Results A total of 331 patients were enrolled in the study with a median age of 58 years (IQR 43-71), most of whom were male (n = 208, 62.8%), of African origin (n = 178, 53.8%) and admitted from the emergency department (n = 306, 92.4%). In- hospital mortality of critically ill patients was 16.1%. Discrimination was very good for all models, the area under the receiver-operating characteristic (ROC) curve for SAPS 3 and MPM0-III was 0.89 (95% CI [0.844–0.935]) and 0.90 (95% CI [0.864–0.944]) respectively. Calibration as calculated by Hosmer-Lemeshow goodness-of-fit test showed good calibration for SAPS 3 and MPM0-III with Chi- square values of 4.61 and 5.08 respectively and P–Value > 0.05. Conclusion Both SAPS 3 and MPM0-III performed well in predicting mortality and outcome in our cohort of patients admitted to the intensive care unit of a private tertiary hospital. The in-hospital mortality of critically ill patients was lower compared to studies done in other intensive care units in tertiary referral hospitals within Tanzania.

scholarly journals Using nursing notes to improve clinical outcome prediction in intensive care patients: A retrospective cohort study

2021 ◽  
Author(s):  
Kexin Huang ◽  
Tamryn F Gray ◽  
Santiago Romero-Brufau ◽  
James A Tulsky ◽  
Charlotta Lindvall
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Length Of Stay ◽  
Patient Outcomes ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Medical Center ◽  
Gradient Boosting ◽  
Short Term ◽  
Icu Length Of Stay

Abstract Objective Electronic health record documentation by intensive care unit (ICU) clinicians may predict patient outcomes. However, it is unclear whether physician and nursing notes differ in their ability to predict short-term ICU prognosis. We aimed to investigate and compare the ability of physician and nursing notes, written in the first 48 hours of admission, to predict ICU length of stay and mortality using 3 analytical methods. Materials and Methods This was a retrospective cohort study with split sampling for model training and testing. We included patients ≥18 years of age admitted to the ICU at Beth Israel Deaconess Medical Center in Boston, Massachusetts, from 2008 to 2012. Physician or nursing notes generated within the first 48 hours of admission were used with standard machine learning methods to predict outcomes. Results For the primary outcome of composite score of ICU length of stay ≥7 days or in-hospital mortality, the gradient boosting model had better performance than the logistic regression and random forest models. Nursing and physician notes achieved area under the curves (AUCs) of 0.826 and 0.796, respectively, with even better predictive power when combined (AUC, 0.839). Discussion Models using only nursing notes more accurately predicted short-term prognosis than did models using only physician notes, but in combination, the models achieved the greatest accuracy in prediction. Conclusions Our findings demonstrate that statistical models derived from text analysis in the first 48 hours of ICU admission can predict patient outcomes. Physicians’ and nurses’ notes are both uniquely important in mortality prediction and combining these notes can produce a better predictive model.

Association Between Afterhours Discharge From the Intensive Care Unit and Hospital Mortality: A Multi-Center Retrospective Cohort Study

2021 ◽  
pp. 088506662098190
Author(s):  
Adam Hall ◽  
Xioaming Wang ◽  
Danny J. Zuege ◽  
Dawn Opgenorth ◽  
Damon C. Scales ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Cohort Study ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Organ Dysfunction ◽  
Sofa Score ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Mixed Effect ◽  
Icu Discharge

Background: There is conflicting evidence on the association between afterhours discharge from the intensive care unit (ICU) and hospital mortality. We examined the effects of afterhours discharge, including the potential effect of residual organ dysfunction, on hospital mortality in a large integrated health region. Methods: We performed a multi-center retrospective cohort study of 10,463 adults discharged from 9 mixed medical/surgical ICUs in Alberta from June 2012 to December 2014. We applied a 2-stage modeling strategy to investigate the association between afterhours discharge (19:00h to 07:59h) and post-ICU hospital mortality. We applied mixed-effect multi-variable linear regression to assess the relationship between discharge organ dysfunction and afterhours discharge. We then applied mixed-effect multi-variable logistic regression to evaluate the direct, indirect and integrated associations of afterhours discharge on hospital mortality and hospitalization duration. Results: Of 10,463 patients, 23.7% (n = 2,480) were discharged afterhours, of which 27.4% occurred on a holiday or weekend. This varied significantly by ICU size, type, and site. Patients discharged afterhours were more likely medical admissions, had greater multi-morbidity and illness acuity. A greater average SOFA score in the 72 hours prior to ICU discharge was not associated with afterhours discharge. However, a greater average SOFA score was associated with hospital mortality (adjusted-odds ratio [OR], 1.23; 95% CI, 1.18-1.28). Afterhours discharge was associated with higher hospital mortality (adjusted-OR, 1.19; 95% CI, 1.01-1.39), increased hospital stay (adjusted-risk ratio [RR], 1.10; 95% CI, 1.09-1.11) and increased post-ICU stay (adjusted-RR, 1.16; 95% CI, 1.14-1.17) when compared with workhours discharge. Conclusions: Afterhours discharge is common, occurring in 1 in 4 discharges, and is widely variable across ICUs. Patients discharged afterhours have greater risk of hospital mortality and prolonged hospitalization.

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