BACKGROUND:Sepsis presents a significant healthcare challenge, characterized by high morbidity and mortality rates. There is a scarcity of relevant studies investigating the association between serum lactate dehydrogenase level and the prognosis of sepsis in patients from intensive care unit, with smaller sample sizes compared to other studies. METHODS:A retrospective analysis was conducted utilizing data from the Second Affiliated Hospital of Guangzhou Medical University and the Medical Information Mart for Intensive Care IV (MIMIC-IV). The primary outcome was the in-hospital mortality. Multivariate Cox proportional hazards regression was adopted to assess the independent association. Receiver operator characteristic (ROC) curve was used to evaluate the predictive value. RESULTS:We included a total of 2148 patients in the Guangzhou Sepsis Cohort (GZSC) database and 5830 patients in the MIMIC-IV database. In multivariate Cox proportional hazards regression, high levels of LDH are significantly associated with higher mortality (HR = 1.21, 95% CI 1.13-1.30, p < 0.001 in the GZSC database and HR = 1.19, 95% CI 1.13-1.25, p < 0.001 in the MIMIC-IV database). The ROC curves showed that the AUC of LDH was 0.663 in the GZSC database and 0.660 in the MIMIC-IV database. CONCLUSIONS:A lower lactate dehydrogenase level is associated with reduced in-hospital mortality among patients with sepsis, suggesting its potential as a valuable marker for predicting prognosis in this patient population.

BACKGROUND:The estimated pulse wave velocity (ePWV) is a recently developed, simple and useful tool to measure arterial stiffness and to predict long-term cardiovascular mortality. However, the association of ePWV with mortality risk in patients with subarachnoid hemorrhage (SAH) is unclear. Herein, this study aims to assess the potential prediction value of ePWV on short- and long-term mortality of SAH patients. METHODS:Data of adult patients with no traumatic SAH were extracted from the Medical Information Mart for Intensive Care (MIMIC) III and IV database in this retrospective cohort study. Weighted univariate and multivariable Cox regression analyses were used to explore the associations of ePWV levels with 30-day mortality and 1-year mortality in SAH patients. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, subgroup analyses of age, the sequential organ failure assessment (SOFA) score, surgery, atrial fibrillation (AF), renal failure (RF), hepatic diseases, chronic obstructive pulmonary disease (COPD), sepsis, hypertension, and diabetes mellitus (DM) were also performed. RESULTS:Among 1,481 eligible patients, 339 died within 30 days and 435 died within 1 year. After adjusting for covariates, ePWV ≥ 12.10 was associated with higher risk of both 30-day mortality (HR = 1.77, 95%CI: 1.17-2.67) and 1-year mortality (HR = 1.97, 95%CI: 1.36-2.85), compared to ePWV < 10.12. The receiver operator characteristic (ROC) curves showed that compared to single SOFA score, ePWV combined with SOFA score had a relative superior predictive performance on both 30-day mortality and 1-year mortality, with the area under the curves (AUCs) of 0.740 vs. 0.664 and 0.754 vs. 0.658. This positive relationship between ePWV and mortality risk was also found in age ≥ 65 years old, SOFA score < 2, non-surgery, non-hepatic diseases, non-COPD, non-hypertension, non-DM, and sepsis subgroups. CONCLUSION:Baseline ePWV level may have potential prediction value on short- and long-term mortality in SAH patients. However, the application of ePWV in SAH prognosis needs further clarification.

BACKGROUND:Renal replacement therapy (RRT) is an important treatment option for sepsis-associated acute kidney injury (AKI); however, the optimal timing for its initiation remains controversial. Herein, we investigated the clinical outcomes of early continuous kidney replacement therapy (CKRT), defined as CKRT initiation within 6 hours of sepsis-associated AKI onset, which was earlier than the initiation time defined in previous studies. METHODS:We used clinical data sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. This study included patients aged ≥ 18 years who met the sepsis diagnostic criteria and received CKRT because of stage 2 or 3 AKI. Early and late CKRTs were defined as CKRT initiation within 6 hours and after 6 hours of the development of sepsis-associated AKI, respectively. RESULTS:Of the 33,236 patients diagnosed with sepsis, 553 underwent CKRT for sepsis-associated AKI. After excluding cases of early mortality and patients with a dialysis history, 45 and 334 patients were included in the early and late CKRT groups, respectively. After propensity score matching, the 28-day mortality rate was significantly lower in the early CKRT group than in the late CKRT group (26.7% vs. 43.9%, = 0.035). The early CKRT group also had a significantly greater number of days free of mechanical ventilation (median, 19; interquartile range [IQR], 3-25) and vasopressor administration (median, 21; IQR, 5-26) than the late CKRT group did (median, 10.5; IQR, 0-23; = 0.037 and median, 13.5; IQR, 0-25; = 0.028, respectively). The Kaplan-Meier curve also showed that early CKRT initiation was associated with an improved 28-day mortality rate (log-rank test, = 0.040). In contrast, there was no significant difference in the 28-day mortality between patients who started CKRT within 12 hours and those who did not (log-rank test, = 0.237). CONCLUSION:Early CKRT initiation improved the survival of patients with sepsis-associated AKI. Initiation of CKRT should be considered as early as possible after sepsis-associated AKI onset, preferably within 6 hours.

Background:This study aimed to explore the correlation between hyperglycemia at intensive care unit (ICU) admission and the incidence of acute kidney injury (AKI) in patients after cardiac surgery. Methods:We conducted a retrospective cohort study, in which clinical data were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Adults (≥18 years) in the database who were admitted to the cardiovascular intensive care unit after cardiac surgery were enrolled. The primary outcome was the incidence of AKI within 7 days following ICU admission. Secondary outcomes included ICU mortality, hospital mortality, ICU length of stay, and the 28-day and 90-day mortality. Multivariable Cox regression analysis was used to assess the association between ICU-admission hyperglycemia and AKI incidence within 7 days of ICU admission. Different adjustment strategies were used to adjust for potential confounders. Patients were divided into three groups according to their highest blood glucose levels recorded within 24 h of ICU admission: no hyperglycemia (<140 mg/dL), mild hyperglycemia (140-200 mg/dL), and severe hyperglycemia (≥200 mg/dL). Results:Of the 6905 included patients, 2201 (31.9%) were female, and the median (IQR) age was 68.2 (60.1-75.9) years. In all, 1836 (26.6%) patients had severe hyperglycemia. The incidence of AKI within 7 days of ICU admission, ICU mortality, and hospital mortality was significantly higher in patients with severe admission hyperglycemia than those with mild hyperglycemia or no hyperglycemia (80.3% . 73.6% and 61.2%, respectively; 2.8% . 0.9% and 1.9%, respectively; and 3.4% . 1.2% and 2.5%, respectively; all <0.001). Severe hyperglycemia was a risk factor for 7-day AKI (Model 1: hazard ratio [HR]=1.4809, 95% confidence interval [CI]: 1.3126 to 1.6707; Model 2: HR=1.1639, 95% CI: 1.0176 to 1.3313; Model 3: HR=1.2014, 95% CI: 1.0490 to 1.3760; all <0.050). Patients with normal glucose levels (glucose levels <140 mg/dL) had a higher 28-day mortality rate than those with severe hyperglycemia (glucose levels ≥200 mg/dL) (4.0% . 3.8%, <0.001). Conclusions:In post-cardiac surgery patients, severe hyperglycemia within 24 h of ICU admission increases the risk of 7-day AKI, ICU mortality, and hospital mortality. Clinicians should be extra cautious regarding AKI among patients with hyperglycemia at ICU admission after cardiac surgery.

Background The stress hyperglycemia ratio (SHR) indicates relative hyperglycemia levels. Research on the impact of SHR on mortality in coronary heart disease (CHD) patients in intensive care is limited. This study explores the predictive accuracy of SHR for the prognosis of CHD patients in the ICU. Methods This study included 2,059 CHD patients from the American Medical Information Mart for Intensive Care (MIMIC-IV) database. SHR was determined using the formula: SHR = (admission glucose) (mmol/L) / (1.59 * HbA1c [%] - 2.59). Subjects were stratified into quartiles based on SHR levels to examine the correlation between SHR and in-hospital mortality. The restricted cubic splines and Cox proportional hazards models were employed to assess this association, while Kaplan-Meier survival analysis was executed to ascertain the mortality rates across the SHR quartiles. Results Among the 2059 participants (1358 men), the rates of in-hospital and ICU mortality were 8.5% and 5.25%, respectively. Analysis showed SHR as a significant predictor of increased risk for both in-hospital (HR,1.16, 95% CI: 1.02-1.32, P = 0.022) and ICU mortality (HR, 1.16, 95% CI: 1.01-1.35, P = 0.040) after adjustments. A J-shaped relationship was noted between SHR and mortality risks (p for non-linearity = 0.002, respectively). Kaplan-Meier analysis confirmed substantial differences in in-hospital and ICU mortality across SHR quartiles. Conclusions SHR significantly predicts in-hospital and ICU mortality in critically ill CHD patients, indicating that higher SHR levels correlate with longer ICU stays and increased mortality. This underscores the potential of SHR as a prognostic marker for ICU CHD patients.

Background:Early enteral nutrition (EN) is recommended for sepsis management, but its optimal timing and clinical benefits remain uncertain. This study evaluates whether early EN improves outcomes compared to delayed EN in patients with sepsis. Methods:We analyzed data of septic patients from the MIMIC-IV 2.2 database, focusing on those in the Medical Intensive Care Unit (MICU) and Surgical Intensive Care Unit (SICU). Patients who initiated EN within 3 days were classified into the early EN group, while those who started EN between 3 and 7 days were classified into the delayed EN group. Propensity score matching was used to compare outcomes between the groups. Results:Among 1,111 patients, 786 (70.7%) were in the early EN group and 325 (29.3%) were in the delayed EN group. Before propensity score matching, the early EN group demonstrated lower mortality (crude OR = 0.694; 95% CI: 0.514-0.936; = 0.018) and shorter ICU stays (8.3 [5.2, 12.3] vs. 10.0 [7.5, 14.2] days; < 0.001). After matching, no significant difference in mortality was observed. However, the early EN group had shorter ICU stays (8.3 [5.2, 12.4] vs. 10.1 [7.5, 14.2] days; < 0.001) and a lower incidence of AKI stage 3 (49.3% vs. 55.5%; = 0.030). Subgroup analysis revealed that early EN significantly reduced the 28-day mortality rate in sepsis patients with lactate levels ≤4 mmol/L, with an adjusted odds ratio (aOR) of 0.579 (95% CI: 0.361, 0.930; = 0.024). Conclusion:Early enteral nutrition may not significantly reduce overall mortality in sepsis patients but may shorten ICU stays and decrease the incidence of AKI stage 3. Further research is needed to identify specific patient characteristics that benefit most from early EN.

Objective:This retrospective study aimed to explore the relationship between intraoperative glucose (IG) and the length of hospital stay (LOS) in patients with femoral neck fractures via the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Methods:A generalized additive model was performed to explore the relationship between IG levels and LOS. Restricted cubic spline curves were used to analyze the dose-response relationship between IG levels and prolonged LOS (or 7-day LOS). Threshold effect analysis was conducted to assess the key points influencing their association. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were performed to evaluate the predictive performance of IG levels for LOS. Results:A total of 743 patients with femoral neck fractures were enrolled from the MIMIC-IV database. We found that there was a non-linear relationship between IG and the LOS (or prolonged LOS/>7 days LOS). Moreover, their relationship was still significant even after adjusting for potential confounders. The threshold effect showed that IG was significantly related to a prolonged LOS when it was >137 mg/dl, and IG was significantly related to a 7-day LOS when it was >163 mg/dl. ROC showed that IG had a better function in predicting a 7-day LOS in participants with IG >163 mg/dl than in predicting a prolonged LOS among participants with IG >137 mg/dl. Moreover, the DCA results showed that IG can obtain a favorable net benefit in clinical settings in predicting a 7-day LOS among participants with IG >163 mg/dl. Conclusions:In summary, there was a non-linear relationship between IG levels and LOS. In patients with IG levels >163 mg/dl, using IG content to predict an LOS >7 days had a good function.

OBJECTIVE:To investigate the association between preoperative nutritional scores and moderate-to-severe acute kidney injury (AKI) after coronary artery bypass graft (CABG) surgery and the predictive significance of nutritional indices for moderate to severe AKI. METHODS:This study retrospectively included older patients underwent CABG surgery from the Medical Information Mart for Intensive Care (MIMIC) database. Nutritional scores were calculated by the Geriatric Nutritional Risk Index (GNRI) and the Prognostic Nutritional Index (PNI), respectively. Moderate-to-severe injury was determined by KDIGO criteria. Logistic regression, subgroup analysis, and restricted cubic splines were utilized to investigate the association. The predictive value was also assessed by the area under the curve (AUC), net reclassification index (NRI), and integrated discrimination improvement (IDI). RESULTS:A total of 1,007 patients were retrospectively included, of which 100 (9.9%) and 380 (37.7%) had malnutrition calculated by GNRI and PNI scores. The incidence of moderate-to-severe AKI was 524 (52.0%). After adjustment for selected risk factors, worse nutritional scores were associated with a higher incidence of moderate-to-severe AKI (<0.001; =0.001). Integrating these indices into different base models improves their performance, as manifested by significant improvements in AUCs and NRIs ( < 0.05). CONCLUSION:Worse preoperative nutritional status was associated with an elevated risk of postoperative moderate-to-severe AKI. Integrating these indices into base models improve their predictive performance. These results highlight the importance of assessing nutritional status among older patients had CABG surgery.

BACKGROUND:Research has identified a link between the triglyceride-glucose index (TyG-i) and the risk of mortality in severely ill patients. However, it remains uncertain if the TyG-i affects mortality by influencing heart rate (HR). METHODS:This study enrolled 3,509 severely ill participants from the Medical Information Mart for Intensive Care (MIMIC-IV) database who had triglyceride, glucose, and HR data upon entering the ICU. Cox regression models were applied to estimate the effect of the TyG-i and HR on 28-day all-cause mortality (ACM) and 28-day in-hospital mortality (IHM). Additionally, Kaplan-Meier (K-M) survival analysis was employed to explore outcome variations among different patient groups. The association of the TyG-i with HR, Sequential Organ Failure Assessment (SOFA) score, and Simplified Acute Physiology Score (SAPS) II was explored through linear regression analysis. Subgroup analysis explored potential interactions among patient characteristics, while sensitivity analysis gauged the robustness of the findings. Additionally, mediation analysis was conducted to assess whether elevated HR acts as an intermediary factor linking the TyG-i to both 28-day ACM and 28-day IHM. RESULTS:During the 28-day follow-up, 586 cases (16.7%) died from all causes, and 439 cases (12.5%) died during hospitalisation. Cox results showed that individuals with a heightened TyG-i and elevated HR had the highest 28-day ACM (Hazard Ratio 1.70, P-value below 0.001) and 28-day IHM (Hazard Ratio 1.72, P-value below 0.001) compared to those with a reduced TyG-i and HR. The K-M curves showed that individuals with low TyG-i and low HR had the lowest incidence of 28-day ACM and 28-day IHM. The linear analysis results evidenced that the TyG-i was independently connected to HR (beta = 3.05, P-value below 0.001), and the TyG-i was also independently associated with SOFA score (beta = 0.39, P-value below 0.001) and SAPS II (beta = 1.79, P-value below 0.001). Subgroup analysis revealed a significant association in participants without hypertension, the interaction of an elevated TyG-i and HR strongly correlated with a higher 28-day death risk (interaction P-value below 0.05). Furthermore, HR mediated 29.5% of the connection between the TyG-i and 28-day ACM (P-value = 0.002), as well as 20.4% of the connection between the TyG-i and 28-day IHM (P-value = 0.002). CONCLUSION:For severely ill patients, the TyG-i is distinctly correlated with HR, and elevated levels of both are strongly connected to greater 28-day ACM and 28-day IHM risks, especially in patients without hypertension. Furthermore, elevated HR mediates the connection between the TyG-i and 28-day mortality.

PURPOSE:To investigate the effect of first 24-hour (24-h) urine output (UO) on in-hospital and 1-year mortality in patients admitted to intensive care units due to acute myocardial infarction. METHODS:This was a retrospective cohort study based on the medical information mart for intensive care IV database involving patients admitted to intensive care units due to acute myocardial infarction. Patients were classified as low UO (LUO), high UO (HUO), and middle UO with a first 24-h UO below 800 ml, over 2500 ml, or in between, respectively. The primary outcome was in-hospital mortality and the secondary outcome was 1-year mortality. RESULTS:A total of 4337 patients were involved. Taking middle UO group as reference, after adjusting for confounders including age, gender, height, weight, comorbidity, occurrence of cardiogenic shock, revascularization, blood pressure, creatinine, N-terminal pro-brain natriuretic peptide, and use of loop diuretics, LUO was independently associated with higher in-hospital mortality [odds ratio 4.05, 95% confidence interval (CI): 3.12-5.26], while HUO was an independent protective factor (odds ratio 0.52, 95% CI: 0.35-0.77). In the multivariant Cox regression model, LUO was an independent risk factor for 1-year mortality (hazard ratio 2.65, 95% CI: 2.16-3.26), while HUO did not show significant association. CONCLUSION:In patients admitted to intensive care units due to acute myocardial infarction, first 24-h UO <800 ml was a strong predictor for higher in-hospital and 1-year mortality, while first 24-h UO over 2500 ml was associated with lower in-hospital mortality but not long-term mortality.