Impact of the triglyceride-glucose index on 28-day mortality in non-diabetic critically Ill patients with sepsis: a retrospective cohort analysis.

INTRODUCTION: Sepsis is a life-threatening condition that poses a globally high mortality rate. Identifying risk factors is crucial. Insulin resistance and the TYG index, associated with metabolic disorders, may play a role. This study explores their correlation with mortality in non-diabetic septic patients. METHODS: This retrospective cohort study used data from the MIMIC-IV (version 2.1) database, which includes over 50,000 ICU admissions from 2008 to 2019 at Beth Israel Deaconess Medical Center in Boston. We included adult patients with sepsis who were admitted to the intensive care unit in the study. The primary outcome was to evaluate the ability of TYG to predict death at 28-day of hospital admission in patients with sepsis. RESULTS: The study included 2213 patients with sepsis, among whom 549 (24.8%) died within 28 days of hospital admission. We observed a non-linear association between TYG and the risk of mortality. Compared to the reference group (lower TYG subgroup), the 28-day mortality increased in the higher TYG subgroup, with a fully adjusted hazard ratio of 2.68 (95% CI: 2.14 to 3.36). The area under the curve (AUC) for TYG was 67.7%, higher than for triglycerides alone (AUC = 64.1%), blood glucose (AUC = 62.4%), and GCS (AUC = 63.6%), and comparable to SOFA (AUC = 69.3%). The final subgroup analysis showed no significant interaction between TYG and each subgroup except for the COPD subgroup (interaction P-values: 0.076-0.548). CONCLUSION: In our study, TYG can be used as an independent predictor for all-cause mortality due to sepsis within 28 days of hospitalization.

Association between glucocorticoid administration and outcomes in patients with ARDS based on the MIMIC-III database.

This study aimed to investigate the association between glucocorticoid administration and outcomes in critically ill patients with ARDS using the Medical Information Mart for Intensive Care (MIMIC)-III database. Data were collected from the MIMIC-III database, which consists of critically ill participants between 2001 and 2012 in the USA. A total of 1831 adult critically ill patients with ARDS were enrolled from the MIMIC-III database. The 60-day and in-hospital mortality, were the primary endpoints. Secondary outcomes included length of stay (LOS) in the hospital and intensive care unit (ICU), 28-day ventilator-free days, ICU mortality, and 28-day mortality. A total of 1831 patients were included in the data analysis. After propensity score (PS) matching, 464 patients diagnosed with ARDS were matched between the glucocorticoid treatment and control groups. Glucocorticoids were associated with increased in-hospital mortality [hazard ratio (HR) 1.32; 95% CI 1.01-1.71; P = .039], longer ICU stay [HR 2.25; 95% CI 0.84-3.65; P = .002], and shorter ventilation-free days at 28 days in all ARDS patients [HR -2.70; 95% CI -4.28--1.13; P = .001]. The 60-day mortality was higher in the glucocorticoid group (44.83% vs 35.34%; P = .154; HR 1.24; 95% CI 0.93-1.66). Excluding the impact of the glucocorticoid initiation time, from day 15 to day 60, mortality was significantly higher in the glucocorticoid group compared to the non-glucocorticoid group (27.16% vs 12.70%; P < .001; HR 1.75; 95% CI 1.32-2.32). Glucocorticoid administration was associated with worse 60-day and in-hospital survival, longer ICU stay, and shorter ventilator-free days on day 28 in patients with ARDS. Our findings suggest careful consideration of glucocorticoids for ARDS.

Daily Sedation Interruption vs Continuous Sedation in Pediatric Patients Receiving Mechanical Ventilation: A Systematic Review and Meta-analysis.

Importance: The effectiveness of daily sedation interruption (DSI, defined as temporary interruption of sedation) has yet to be demonstrated in critically ill pediatric patients. Objective: To compare the clinical outcomes of DSI vs continuous intravenous (IV) sedation in patients receiving invasive mechanical ventilation (MV) support in the pediatric intensive care unit (PICU). Data Sources: A systematic search for studies was conducted using predefined keywords and Medical Subject Headings in 5 major databases (PubMed, Embase, Web of Science, CINAHL [Cumulated Index to Nursing and Allied Health Literature], and Cochrane Central Register of Controlled Trials) from database inception to October 31, 2023. Study Selection: Retrospective and prospective observational studies, randomized clinical trials (RCTs), and systematic reviews were assessed for inclusion. Studies were eligible if they compared DSI to continuous IV sedation in patients aged 18 years or younger requiring MV in the PICU. Data Extraction and Synthesis: Study characteristics, including the types of sedation, sedation protocols, and clinical outcomes, were extracted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guideline was followed. A random-effects model was used to pool results from articles for the meta-analysis. Main Outcomes and Measures: The primary outcomes of interest were duration of MV and length of PICU stay. Secondary outcomes included total sedative dose requirement, adverse events (eg, complications associated with MV, withdrawal, and delirium), and mortality. Results: A total of 6 RCTs with 2810 pediatric patients (1569 males [55.8%]; mean age, 26.5 [95% CI, 15.0-37.9] months) were included in the final analysis; patients had a mean PRISM (Pediatric Risk of Mortality) score of 13.68 (95% CI, 10.75-16.61). Compared with continuous IV sedation, DSI was associated with a reduction in length of PICU stay (5 studies, n = 2770; mean difference [MD], -1.45 [95% CI, -2.75 to -0.15] days; P = .03]. There was no difference in MV duration (5 studies, n = 2750; MD, -0.93 [95% CI, -1.89 to 0.04] days; P = .06), total doses of midazolam (3 studies, n = 191; MD, -1.66 [95% CI, -3.95 to 0.63] mg/kg) and morphine used (2 studies, n = 189; MD, -2.63 [95% CI, -7.01 to 1.75] mg/kg), or adverse events (risk ratio [RR], 1.03 [95% CI, 0.74-1.42]; P = .88). There was no difference in mortality between patients exposed vs not exposed to DSI (RR, 0.89 [95% CI, 0.55-1.46]; P = .65). Conclusions and Relevance: This systematic review and meta-analysis found that use of DSI in pediatric patients was associated with reduced length of PICU stay with no increase in adverse events. Further research is needed to ascertain whether this strategy is associated with improved neurodevelopmental outcomes in PICU survivors.

Predictive value of the triglyceride-glucose index for short- and long-term all-cause mortality in patients with critical coronary artery disease: a cohort study from the MIMIC-IV database.

BACKGROUND: Triglyceride-glucose (TyG) index is linked to a poor prognosis for cardiovascular condition and is a valid indicator of insulin resistance. This study evaluated the potential predicting usefulness of the TyG index for all-cause mortality, both short- and long-term, for those concerning critical coronary artery disease (CAD). METHODS: In this study, information from 5452 critically-ill individuals with CAD in intensive care units were gathered from the Medical Information Marketplace in Intensive Care (MIMIC-IV) database. Depending on the TyG index degree, the patients were categorized into three categories. Clinical outcomes included short-term (30-day) and long-term (365-day) all-cause mortality. The corresponding relationships involving the TyG index and clinical outcomes were examined by deploying restricted cubic spline (RCS) regression analysis and Cox proportional risk regression. RESULTS: An increased TyG index was associated with increased 30-day (Tertile 1: 6.1%, Tertile 2: 7.3%, Tertile 3: 9.2%, P = 0.001) and 365-day (Tertile 1: 15.2%, Tertile 2: 17.0%, Tertile 3: 19.6%, P = 0.002) death rates across all causes. Cox regression with multiple variables indicates that higher TyG indices were linked to higher all-caused mortality hazard ratios throughout the short and long terms, with a larger predictive value for the former. RCS regression analyses suggested that the risk of death was notably and linearly that is associated with TyG index. CONCLUSIONS: The TyG index is a reliable predictor of all-cause mortality at different stages in critically ill CAD patients, with a higher predictive ability for short-term mortality. Early intervention in patients with elevated TyG index may improve their survival outcomes. Future research should delve into understanding its pathophysiological mechanisms and develop intervention strategies based on the TyG index, providing new insights and strategies to enhance the outlook for critically ill CAD patients.

The clinical value of inflammation index in predicting ICU mortality of critically ill patients with intracerebral hemorrhage.

Background: The inflammatory response holds paramount significance in the context of intracerebral hemorrhage (ICH) and exhibits a robust correlation with mortality rates. Biological markers such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune inflammation index (SII), and systemic inflammatory response index (SIRI) play crucial roles in influencing the systemic inflammatory response following ICH. This study aims to compare the predictive efficacy of NLR, PLR, LMR, SII, and SIRI concerning the risk of mortality in the intensive care unit (ICU) among critically ill patients with ICH. Such a comparison seeks to elucidate their early warning capabilities in the management and treatment of ICH. Methods: Patients with severe ICH requiring admission to the ICU were screened from the Medical Information Marketplace for Intensive Care (MIMIC-IV) database. The outcomes studied included ICU mortality and 30 day ICU hospitalization rates, based on tertiles of the NLR index level. To explore the relationship between the NLR index and clinical outcomes in critically ill patients with ICH, we utilized receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and multivariate logistic regression analysis. Results: A total of 869 patients (51.9% male) were included in the study, with an ICU mortality rate of 22.9% and a 30 day ICU hospitalization rate of 98.4%. Among the five indicators examined, both the ROC curve and DCA indicated that NLR (AUC: 0.660, 95%CI: 0.617-0.703) had the highest predictive ability for ICU mortality. Moreover, this association remained significant even after adjusting for other confounding factors during multivariate analysis (HR: 3.520, 95%CI: 2.039-6.077). Based on the results of the multivariate analysis, incorporating age, albumin, lactic acid, NLR, and GCS score as variables, we developed a nomogram to predict ICU mortality in critically ill patients with ICH. Conclusion: NLR emerges as the most effective predictor of ICU mortality risk among critically ill patients grappling with ICH when compared to the other four indicators. Furthermore, the integration of albumin and lactic acid indicators into the NLR nomogram enhances the ability to promptly identify ICU mortality in individuals facing severe ICH.

Effect of early administration of tetracosactide on mortality and host response in critically ill patients requiring rescue surgery: a sensitivity analysis of the STOPSHOCK phase 3 randomized controlled trial.

BACKGROUND: Undifferentiated shock is recognized as a criticality state that is transitional in immune-mediated topology for casual risk of lethal microcirculatory dysfunction. This was a sensitivity analysis of a drug (tetracosactide; TCS10) targeting melanocortin receptors (MCRs) in a phase 3 randomized controlled trial to improve cardiovascular surgical rescue outcome by reversing mortality and hemostatic disorders. METHODS: Sensitivity analysis was based on a randomized, two-arm, multicenter, double-blind, controlled trial. The Naïve Bayes classifier was performed by density-based sensitivity index for principal strata as proportional hazard model of 30-day surgical risk mortality according to European System for Cardiac Operative Risk Evaluation inputs-outputs in 100 consecutive cases (from August to September 2013 from Emilia Romagna region, Italy). Patients included an agent-based TCS10 group (10 mg, single intravenous bolus before surgery; n = 56) and control group (n = 44) and the association with cytokines, lactate, and bleeding-blood transfusion episodes with the prior-risk log-odds for mortality rate in time-to-event was analyzed. RESULTS: Thirty-day mortality was significantly improved in the TCS10 group vs. control group (0 vs. 8 deaths, P < 0.0001). Baseline levels of interleukin (IL)-6, IL-10, and lactate were associated with bleeding episodes, independent of TCS10 treatment [odds ratio (OR) = 1.90, 95% confidence interval (CI) 1.39-2.79; OR = 1.53, 95%CI 1.17-2.12; and OR = 2.92, 95%CI 1.40-6.66, respectively], while baseline level of Fms-like tyrosine kinase 3 ligand (Flt3L) was associated with lower bleeding rates in TCS10-treated patients (OR = 0.31, 95%CI 0.11-0.90, P = 0.03). For every 8 TCS10-treated patients, 1 bleeding case was avoided. Blood transfusion episodes were significantly reduced in the TCS10 group compared to the control group (OR = 0.32, 95%CI 0.14-0.73, P = 0.01). For every 4 TCS10-treated patients, 1 transfusion case was avoided. CONCLUSIONS: Sensitivity index underlines the quality target product profile of TCS10 in the runway of emergency casualty care. To introduce the technology readiness level in real-life critically ill patients, further large-scale studies are required. TRIAL REGISTRATION: European Union Drug Regulating Authorities Clinical Trials Database (EudraCT Number: 2007-006445-41 ).

The association between frailty and the risk of mortality in critically ill congestive heart failure patients: findings from the MIMIC-IV database.

Background: Frailty is a severe, common co-morbidity associated with congestive heart failure (CHF). This retrospective cohort study assesses the association between frailty and the risk of mortality in critically ill CHF patients. Methods: Eligible patients with CHF from the Medical Information Base for Intensive Care IV database were retrospectively analyzed. The frailty index based on laboratory tests (FI_Lab) index was calculated using 33 variables to assess frailty status. The primary outcomes were in-hospital mortality and one-year mortality. The secondary outcomes were the incidence of acute kidney injury (AKI) and the administration of renal replacement therapy (RRT) in patients with concurrent AKI. Survival disparities among the FI_Lab subgroups were estimated with Kaplan-Meier survival analysis. The association between the FI_Lab index and mortality was examined with Cox proportional risk modeling. Results: A total of 3273 adult patients aged 18 years and older were enrolled in the study, with 1820 men and 1453 women included. The incidence rates of in-hospital mortality and one-year mortality rate were 0.96 per 1,000 person-days and 263.8 per 1,000 person-years, respectively. Multivariable regression analysis identified baseline FI_Lab > 0.45 as an independent risk factor predicting in-hospital mortality (odds ratio = 3.221, 95% CI 2.341-4.432, p < 0.001) and one-year mortality (hazard ratio=2.152, 95% CI: 1.730-2.678, p < 0.001). In terms of predicting mortality, adding FI_Lab to the six disease severity scores significantly improved the overall performance of the model (all p < 0.001). Conclusions: We established a positive correlation between the baseline FI_Lab and the likelihood of adverse outcomes in critical CHF patients. Given its potential as a reliable prognostic tool for such patients, further validation of FI_Lab across multiple centers is recommended for future research.

Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine learning algorithms.

BACKGROUND: To construct and evaluate a predictive model for in-hospital mortality among critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT), based on nine machine learning (ML) algorithm. METHODS: The study retrospectively included patients with AKI who underwent CRRT during their initial hospitalization in the United States using the medical information mart for intensive care (MIMIC) database IV (version 2.0), as well as in the intensive care unit (ICU) of Huzhou Central Hospital. Patients from the MIMIC database were used as the training cohort to construct the models (from 2008 to 2019, n = 1068). Patients from Huzhou Central Hospital were utilized as the external validation cohort to evaluate the models (from June 2019 to December 2022, n = 327). In the training cohort, least absolute shrinkage and selection operator (LASSO) regression with cross-validation was employed to select features for constructing the model and subsequently established nine ML predictive models. The performance of these nine models on the external validation cohort dataset was comprehensively evaluated based on the area under the receiver operating characteristic curve (AUROC) and the optimal model was selected. A static nomogram and a web-based dynamic nomogram were presented, with a comprehensive evaluation from the perspectives of discrimination (AUROC), calibration (calibration curve) and clinical practicability (DCA curves). RESULTS: Finally, 1395 eligible patients were enrolled, including 1068 patients in the training cohort and 327 patients in the external validation cohort. In the training cohort, LASSO regression with cross-validation was employed to select features and nine models were individually constructed. Compared to the other eight models, the Lasso regularized logistic regression (Lasso-LR) model exhibited the highest AUROC (0.756) and the optimal calibration curve. The DCA curve suggested a certain clinical utility in predicting in-hospital mortality among critically ill patients with AKI undergoing CRRT. Consequently, the Lasso-LR model was the optimal model and it was visualized as a common nomogram (static nomogram) and a web-based dynamic nomogram (https://chsyh2006.shinyapps.io/dynnomapp/). Discrimination, calibration and DCA curves were employed to assess the performance of the nomogram. The AUROC for the training and external validation cohorts in the nomogram model was 0.771 (95%CI: 0.743, 0.799) and 0.756 (95%CI: 0.702, 0.809), respectively. The calibration slope and Brier score for the training cohort were 1.000 and 0.195, while for the external validation cohort, they were 0.849 and 0.197, respectively. The DCA indicated that the model had a certain clinical application value. CONCLUSIONS: Our study selected the optimal model and visualized it as a static and dynamic nomogram integrating clinical predictors, so that clinicians can personalized predict the in-hospital outcome of critically ill patients with AKI undergoing CRRT upon ICU admission.

Contributing factors to hypophosphatemia development in critically Ill ventilated patients: a retrospective cohort study.

Hypophosphatemia (serum phosphate < 2.5 mg/dL) is a major concern when initiating nutritional support. We evaluated which factors contribute to hypophosphatemia development in critically ill patients, as well as the association between hypophosphatemia and mortality. A retrospective cohort study of patients who were ventilated for at least 2 days in a 16-bed mixed ICU. Data collected includes demographics, Acute Physiology & Chronic Health Evaluation 2 (APACHE2) admission score, Sequential Organ Failure Assessment score at 24 h (SOFA24), hourly energy delivery, plasma phosphate levels during the first 2 weeks of admission, ICU length of stay (LOS), length of ventilation (LOV), and mortality (ICU and 90 days). For the hypophosphatemia development model, we considered mortality as a competing risk. For mortality analysis, we used the Cox proportional hazards model considering hypophosphatemia development as a time-varying covariate. 462 patients were used in the analysis. 59.52% of the patients developed hypophosphatemia. Several factors were associated with a decreased risk of hypophosphatemia: age, BMI, pre-admission diabetes diagnosis, APACHE2, SOFA24, first kidney SOFA score, hospital admission time before ICU admission, and admission after liver transplantation. Admission due to trauma was associated with an increased risk of hypophosphatemia. Survival analysis with hypophosphatemia as a time-varying covariate showed a protective effect of hypophosphatemia from mortality (HR 0.447, 95% CI 0.281, 0.712). Age, APACHE2, and SOFA24 score were found to be significantly associated with ICU mortality. Fasting duration in the ICU before nutritional support initiation was not found to be significantly associated with hypophosphatemia. We examined several fasting intervals (12 h, 24 h, 36 h, 48 h, 60 h, 72 h). In each fast interval, we compared the prevalence of hypophosphatemia among patients who fasted the specified length of time, with those who did not fast for the same length of time. In each fasting interval, hypophosphatemia prevalence was lower in the fasting group compared to the non-fasting group. However, this difference was insignificant. BMI, APACHE2, and hospital LOS before ICU admission were inversely associated with hypophosphatemia development. Fasting for up to 72 h in the ICU before starting nutritional support did not affect hypophosphatemia occurrence. Hypophosphatemia was associated with lower mortality.

Circulating corin concentration is associated with risk of mortality and acute kidney injury in critically ill patients.

Elevated serum corin concentrations in patients with cardiac diseases have been associated with adverse cardiovascular events and progressive renal dysfunction. This study aimed to determine the role of serum corin levels in predicting the incidence of acute kidney injury (AKI) and mortality in critically ill patients admitted to intensive care units (ICUs). We screened 323 patients admitted to the ICU in our institution from May 2018 through December 2019. After excluding patients receiving renal replacement therapy, 288 subjects were enrolled. Cases were divided equally into high (n = 144) and low (n = 144) corin groups according to median serum corin levels, using 910 pg/mL as the cut-off point. Patient characteristics and comorbidities were collected from medical records. The primary outcome was AKI within 48 h after ICU admission, while the secondary outcome was all-cause of mortality within 1 year. Compared with the low corin group, patients in the high corin group had higher prevalence rates of diabetes, cirrhosis, and nephrotoxic agent exposure; higher Sequential Organ Failure Assessment scores, white blood cell counts, proteinuria, and serum N-terminal pro-brain natriuretic peptide levels; but had lower initial estimated glomerular filtration rates. Furthermore, elevated serum corin was associated with higher risks of AKI within 48h of ICU admission (43.1% vs. 18.1%, p < 0.001) and all-cause mortality within one year (63.9% vs. 50.0%, p = 0.024). High corin level showed strongly positive results as an independent predictor of AKI (OR 2.15, 95% CI 1.11-4.19, p = 0.024) but not for the all-cause mortality after adjusting for confounding factors in multivariate analyses. Elevated circulating corin predicted AKI in critically ill patients, but did not predict all-cause mortality within 1 year. As a key enzyme in renin-angiotensin-aldosterone system, corin expression may be regulated through a feedback loop following natriuretic peptide resistance and desensitization of natriuretic peptide receptors in different critically ill status.

Analysis of early death in critically ill patients with acute promyelocytic leukaemia in the HICU.

This study was conducted to identify the characteristics and risk factors for early death in critically ill acute promyelocytic leukaemia (APL) patients in the Hemato-oncology ICU (HICU). A total of 44 APL patients from 2017 to 2023 were included. The mortality among APL patients in the HICU was high (27/44, 61.36%). Compared with patients who survived, nonsurvivors had a longer prothrombin time (P = 0.002), lower fibrinogen (P = 0.022), higher white blood cell count (P = 0.004) and higher creatinine (P = 0.037) on hosipital admission. Severe bleeding was the most frequent complication (34 cases, 77.27%), which occurred either preinduction or on Day 5 (IQR 3-7.5 days) of induction. Cerebral bleeding associated with consciousness disturbance was the main reason for HICU admission (18 cases, 40.9%). The leading cause of death was fatal haemorrhage (18/34, 52.94%), which occurred either preinduction or on Day 4 (IQR 3-7 days) of induction. Another common cause of death was sepsis (8/18, 44.44%), which occurred on Day 12 (IQR 9.5-24.75 days) during induction. In conclusion, the main cause of death in APL patients treated in the HICU was primary being attributed to fatal bleeding, followed by sepsis.

Severe hyperlactatemia in the emergency department: clinical characteristics, etiology and mortality.

BACKGROUND: Severe hyperlactatemia (lactate level ≥ 10 mmol/L) is associated with high mortality rates in critically ill patients. However, there is limited data on emergency department (ED) patients. We aimed to investigate the clinical characteristics, etiology and outcomes of patients with severe hyperlactatemia in the ED setting. METHODS: A retrospective cohort study was conducted at a tertiary care hospital in Thailand. We included adult patients with a venous lactate sample taken in the ED within one hour. We excluded patients after out-of-hospital cardiac arrest, transferred to/from another hospital or those with missing clinical data. Mortality rates were evaluated among patients with increasing degrees of lactate elevation and among patients with severe hyperlactatemia, stratified by causative etiology. RESULTS: We analyzed venous lactate levels in 40,047 patients, with 26,680 included in the analysis. Among these, 1.7% had severe hyperlactatemia (lactate ≥ 10 mmol/L), 10.5% moderate (4-9.99 mmol/L), 28.8% mild (2-3.99 mmol/L), and 59.0% normal levels (< 2 mmol/L). Severe hyperlactatemia was associated with high mortality rates of 29%, 37%, and 38% at 7, 28, and 60 days respectively, significant ICU admissions and mechanical ventilation rates. Patients with severe hyperlactatemia were stratified into high (> 50% mortality), moderate (21-50%), and low (< 20%) 28-day mortality risk groups. High-risk conditions included non-septic shock, traumatic injuries/burns, and neurological issues, with mortality rates of 51.1%, 61.8%, and 57.1%, respectively. In the moderate risk group, namely infection without shock showed a high prevalence, with a mortality rate of 36%. In the low-risk group, seizures and fainting were associated with lower mortality, exhibiting mortality rates of 0%. CONCLUSIONS: Severe hyperlactatemia is associated with higher rates of ICU admission and mortality compared to other degrees of lactate elevation in a general ED population. However, mortality rates can vary considerably, depending on the underlying etiology associated with different primary diagnoses.

Association between estimated pulse wave velocity and in-hospital and one-year mortality of patients with chronic kidney disease and atherosclerotic heart disease: a retrospective cohort analysis of the MIMIC-IV database.

BACKGROUND: Carotid-femoral pulse wave velocity has been identified as an autonomous predictor of cardiovascular mortality and kidney injury. This important clinical parameter can be non-invasively estimated using the calculated pulse wave velocity (ePWV). The objective of this study was to examine the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with chronic kidney disease (CKD) and atherosclerotic heart disease (ASHD). METHODS: This study included a cohort of 1173 patients diagnosed with both CKD and ASHD, sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The four groups divided into quartiles according to ePWV were compared using a Kaplan-Meier survival curve to assess variations in survival rates. Cox proportional hazards models were employed to analyze the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with both CKD and ASHD. To further investigate the dose-response relationship, a restricted cubic splines (RCS) model was utilized. Additionally, stratification analyses were performed to examine the impact of ePWV on hospital and one-year mortality across different subgroups. RESULTS: The survival analysis results revealed a negative correlation between higher ePWV and survival rate. After adjusting for confounding factors, higher ePWV level (ePWV > 11.90 m/s) exhibited a statistically significant association with an increased risk of both in-hospital and one-year mortality among patients diagnosed with both CKD and ASHD (HR = 4.72, 95% CI = 3.01-7.39, p < 0.001; HR = 2.04, 95% CI = 1.31-3.19, p = 0.002). The analysis incorporating an RCS model confirmed a linear escalation in the risk of both in-hospital and one-year mortality with rising ePWV values (P for nonlinearity = 0.619; P for nonlinearity = 0.267). CONCLUSIONS: The ePWV may be a potential marker for the in-hospital and one-year mortality assessment of CKD with ASHD, and elevated ePWV was strongly correlated with an elevated mortality risk in patients diagnosed with both CKD and ASHD.

Association between the triglyceride-glucose index and mortality in critically ill patients: A meta-analysis.

BACKGROUND: To further identify the association of the triglyceride-glucose (TyG) index with the risk of mortality among critically ill patients admitted to the intensive care unit (ICU). METHODS: The PubMed, Web of Science, and EMBASE databases were searched for relevant studies up to February 2, 2024. The primary outcomes were in-hospital mortality and ICU mortality. The secondary outcomes were 30-day mortality, 90-day mortality, and 1-year mortality. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to evaluate the associations between the TyG index and the above endpoints. All the statistical analyses were performed with STATA 15.0 software. RESULTS: Ten studies involving 22,694 patients were included. The pooled results demonstrated that an elevated TyG index indicated an increased risk of in-hospital mortality (HR = 1.76, 95% CI: 1.41-2.18, P < .001), ICU mortality (HR = 1.52, 95% CI: 1.33-1.74, P < .001), 30-day mortality (HR = 1.50, 95% CI: 1.02-2.19, P = .037), 90-day mortality (HR = 1.42, 95% CI: 1.01-2.00, P = .043), and 1-year mortality (HR = 1.19, 95% CI: 1.11-1.28, P < .001). Subgroup analysis for in-hospital mortality and ICU mortality based on sex, age, body mass index and hypertension showed similar results. However, subgroup analysis stratified by diabetes mellitus (DM) revealed that the associations of the TyG index with in-hospital mortality (HR = 2.21, 95% CI: 1.30-3.78, P = .004) and ICU mortality (HR = 1.93, 95% CI: 0.95-3.94, P = .070) were observed only among patients without DM. CONCLUSION: The TyG index was significantly associated with mortality among critically ill patients without DM, and an elevated TyG index predicted an increased risk of mortality.

Prediction of Mortality Using the Sequential Organ Failure Assessment Score in Critically Ill COVID-19 Patients.

OBJECTIVE:  To determine the accuracy and reliability of the sequential organ failure assessment (SOFA) score in predicting the risk of mortality in ICU-admitted COVID-19 patients. STUDY DESIGN: Cross-sectional study. Place and Duration of the Study: COVID Intensive Care Unit (ICU), The Aga Khan University Hospital, Karachi, from January to June 2022. METHODOLOGY: A total of 62 patients with a positive RT-PCR for COVID-19, admitted into the intensive care unit (ICU), were included in this descriptive cross-sectional study. Written informed consent was obtained after explaining the risks and benefits of the study to the patients / next of kin. SOFA score at the time of admission and 48 hours after admission was calculated. The outcome variable, i.e., mortality, was assessed in association with the SOFA score.  Results: The study had a predominantly male population of 54.8% (n = 34). The SOFA score >7 at admission and 48 hours after admission was observed in 46.8% (n = 29) patients. Among 62 COVID-19 patients, the majority were found to have a severe nature of the disease, i.e., 69.4% (n = 43), followed by moderate / mild cases 30.6% (n = 19). Depending on the requirement of the patient, 74.2% (n = 46) were invasively ventilated while 77.4% (n = 48) were on non-invasive ventilation. Overall the mortality rate of the present study was 43.5% (n = 27). The scores both at the time of admission and 48 hours after admission for the survivors had a significant difference (p = 0.001) with the non-survivors. CONCLUSION:  The SOFA score on admission and 48 hours after had a significant positive association with the severity of COVID-19 infection and its risk of mortality. KEY WORDS: COVID-19, Mortality prediction, SOFA score.

Association Between the Serum Phosphate Levels and Hospital Mortality as Well as 90-Day Mortality Among Critically Ill Patients with Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study.

Purpose: COPD patients frequently have abnormal serum phosphorus levels. The objective of this study was to examine the correlation between serum phosphorus levels with hospital and 90-day mortality in critically ill patients with COPD. Patients and Methods: The MIMIC IV database was used for this retrospective cohort analysis. We extracted demographics, vital signs, laboratory tests, comorbidity, antibiotic usage, ventilation and scoring systems within the first 24 hours of ICU admission. Restricted cubic splines and multivariate cox regression analysis models were used to evaluate the connection between serum phosphorus with hospital and 90-day mortality. We assessed and classified various factors including gender, age, renal disease, severe liver disease, the utilization of antibiotics and congestive heart failure. Results: We included a total of 3611 patients with COPD, with a median age of 70.7 years. After adjusting for all other factors, we observed a significant positive association between serum phosphate levels with both hospital mortality (HR 1.19, 95% CI: 1.07-1.31, p<0.001) and 90-day mortality (HR 1.15, 95% CI: 1.06-1.24, p<0.001). Compared to the medium group (Q2 ≥3.15, <4.0), the adjusted hazard ratios for hospital mortality were 1.47 (95% CI: 1.08-2, p=0.013), and 1.31 (95% CI: 1.06-1.61, p=0.013) for 90-day mortality in the high group (Q3≥4.0). Hospital mortality decreased at serum phosphate levels below 3.8 mg/dl (HR 0.664, 95% CI: 0.468-0.943, p=0.022), but increased for both hospital (HR 1.312, 95% CI: 1.141-1.509, p<0.001) and 90-day mortality (HR 1.236, 95% CI: 1.102-1.386, p<0.001) when levels were above 3.8 mg/dl. Subgroup and sensitivity analyses yielded consistent results. Conclusion: In critical ill COPD patients, this study demonstrated a non-linear association between serum phosphate levels and both hospital and 90-day mortality. Notably, there was an inflection point at 3.8 mg/dl, indicating a significant shift in outcomes. Future prospective research is necessary to validate this correlation.

Association of hydration status and in-hospital mortality in critically ill patients with ischemic stroke: Data from the MIMIC-IV database.

BACKGROUND: Hydration plays a critical role in the pathophysiological progression of ischemic stroke. However, the impact of extreme hydration on the mortality of critically ill patients with ischemic stroke remains unclear. Therefore, our objective was to evaluate the association between hydration, as indicated by the blood urea nitrogen to creatinine ratio (UCR), and in-hospital mortality in critically ill patients with ischemic stroke. METHODS: Data from the Medical Information Mart for Intensive Care (MIMIC-IV) database were utilized. Patients with ischemic stroke admitted to the Intensive Care Unit (ICU) for the first time were identified. The exposure variable was the hydration state represented by the UCR. The study outcome measure was in-hospital mortality. The primary analytical approach involved multivariate Cox regression analysis. Kaplan-Meier curves were constructed, and subgroup analyses with interaction were performed. RESULTS: A total of 1539 patients, with a mean age of 69.9 years, were included in the study. Kaplan-Meier curves illustrated that patients in higher UCR tertiles exhibited increased in-hospital mortality. Accordingly, the risk of in-hospital mortality significantly rose by 29 % with every 10 units increase in UCR. Subgroup analysis indicated a robust association between UCR and in-hospital mortality in each subgroup, with no statistically significant interactions observed. CONCLUSION: Hydration status is significantly associated with in-hospital all-cause mortality in critically ill patients with ischemic stroke. This finding underscores the importance of closely monitoring critically ill patients for adequate hydration and implementing appropriate rehydration strategies.

Clinical Characteristics of Hospitalized Patients With COVID-19 and Their Association With the Progression to Critical Illness and Death: A Single-Center Retrospective Study From Northwestern Mexico.

OBJECTIVE: The objective of this study was to associate the epidemiological and clinical characteristics of patients hospitalized for COVID-19 with the progression to critical illness and death in northwestern Mexico. METHODS: From March to October 2020, we collected the demographic and clinical characteristics of 464 hospitalized patients from northwestern Mexico. RESULTS: Sixty-four percent (295/464) of the patients became critically ill. Age, occupation, steroid and antibiotic use at previous hospitalization, and underlying diseases (hypertension, obesity, and chronic kidney disease) were associated with critical illness or death (p: < 0.05). No symptoms were associated with critical illness. However, the parameters such as the heart rate, respiratory rate, oxygen saturation, and diastolic pressure and the laboratory parameters such as the glucose, creatinine, white line cells, hemoglobin, D-dimer, and C-reactive protein, among others, were associated with critical illness (p: < 0.05). Finally, advanced age, previous hospital treatment, and the presence of one or more underlying diseases were associated with critical illness and death (p: < 0.02). CONCLUSIONS: Several epidemiological (e.g., age and occupation) and clinical factors (e.g., previous treatment, underlying diseases, and vital signs and laboratory parameters) were associated with critical illness and death in patients hospitalized with COVID-19. These data provide us with possible markers to avoid critical illness or death from COVID-19 in our region.

Association between the anion-gap and 28-day mortality in critically ill adult patients with sepsis: A retrospective cohort study.

Metabolic acidosis is usually associated with the severity of the condition of patients with sepsis or septic shock. Serum anion gap (AG) is one of the indicators of response metabolism. This study was performed to investigate whether the initial serum AG is associated with the 28-day mortality in critically ill adult patients with sepsis. This retrospective cohort study, a total of 15,047 patients with confirmed Sepsis disease from 2008 to 2019 from the Medical Information Mart for Intensive Care IV (MIMIC-IV) v1.0 database. The MIMIC-IV database is a comprehensive, de-identified clinical dataset originating from the Beth Israel Deaconess Medical Center in Boston, it includes extensive data on intensive care unit (ICU) patients, such as vital signs, lab results, and medication orders, spanning multiple years, accessible to researchers through an application process. AG can be obtained by direct extraction in the MIMIC-IV database (itemid = 50,868 from the laboratory events table of mimic_hosp), inclusion of AG values for the first test on first day of ICU admission. The patients were grouped into quartiles according to the AG interquartile range. The primary outcome was the 28-day mortality. Multiple logistic regression analysis was used to calculate the odds ratio (OR), while accounting for potential confounders, and the robustness of the results were evaluated in subgroup analyses. Among the 15,047 patients included in this study, the average age was 65.9 ±â€…16.0 years, 42.5% were female, 66.1% were Caucasian, and the 28-day mortality rate was 17.9% (2686/15,047). Multiple logistic regression analysis revealed the 28-day mortality in every increase of AG (per SD mEq/L), there is an associated 1.2 times (OR 1.2, 95% CI 1.12-1.29, P < .001) increase. Increased 28-day mortality (OR 1.53, 95% confidence interval 1.29-1.81, P < .001) in the group with the AG (15-18 mEq/L), and (OR 1.69, 95% confidence interval 1.4-2.04, P < .001) in the group with the highest AG (≥18 mEq/L), AG (<12 mEq/L) as a reference group, in the fully adjusted model. In adult patients with sepsis, the early AG at the time of ICU admission is an independent risk factor for prognosis.