Usefulness of lactate to albumin ratio for predicting in-hospital mortality in atrial fibrillation patients admitted to the intensive care unit: a retrospective analysis from MIMIC-IV database

BACKGROUND

High lactate to albumin ratio (LAR) has been reported to be associated to with poor prognosis in patients admitted to the intensive care unit (ICU). However, its role in predicting in-hospital mortality in AF patients admitted to ICU has not been explored.

METHODS

The Medical Information Mart for Intensive Care-IV (MIMIC-IV) database was used to retrieve information on patients who had been diagnosed with AF. X-tile software was utilized to determine the optimal cut-off LAR. Area under the receiver operating characteristic curves (AUC), calibration plots, and decision curve analysis (DCA) were conducted to assess the prediction performance of LAR for in-hospital mortality.

RESULTS

Finally, 8,287 AF patients were included and 1,543 death (18.6%) occurred. The optimal cut-off value of LAR is 0.5. Patients in lower LAR (< 0.5) group showed a better in-hospital survival compared to patients in higher LAR (≥ 0.5) group (HR: 2.67, 95%CI:2.39-2.97, P < 0.001). A nomogram for in-hospital mortality in patients with AF was constructed based on multivariate Cox analysis including age, CCI, β blockers usage, APSIII, hemoglobin and LAR. This nomogram exhibited excellent discrimination and calibration abilities in predicting in-hospital mortality for critically ill AF patients.

CONCLUSION

LAR, as a readily available biomarker, can predict in-hospital mortality in AF patients admitted to the ICU. The nomogram that combined LAR with other relevant variables performed exceptionally well in terms of predicting in-hospital mortality.

[Construction and validation of an in-hospital mortality risk prediction model for patients receiving VA-ECMO: a retrospective multi-center case-control study]

OBJECTIVE

To investigate the risk factors of in-hospital mortality and establish a risk prediction model for patients receiving venoarterial extracorporeal membrane oxygenation (VA-ECMO).

METHODS

We retrospectively collected the data of 302 patients receiving VA-ECMO in ICU of 3 hospitals in Guangdong Province between January, 2015 and January, 2022 using a convenience sampling method. The patients were divided into a derivation cohort (201 cases) and a validation cohort (101 cases). Univariate and multivariate logistic regression analyses were used to analyze the risk factors for in-hospital death of these patients, based on which a risk prediction model was established in the form of a nomogram. The receiver operator characteristic (ROC) curve, calibration curve and clinical decision curve were used to evaluate the discrimination ability, calibration and clinical validity of this model.

RESULTS

The in-hospital mortality risk prediction model was established based the risk factors including hypertension (OR=3.694, 95% CI: 1.582-8.621), continuous renal replacement therapy (OR=9.661, 95%CI: 4.103-22.745), elevated Na2 + level (OR=1.048, 95% CI: 1.003-1.095) and increased hemoglobin level (OR=0.987, 95% CI: 0.977-0.998). In the derivation cohort, the area under the ROC curve (AUC) of this model was 0.829 (95% CI: 0.770-0.889), greater than those of the 4 single factors (all AUC < 0.800), APACHE II Score (AUC=0.777, 95% CI: 0.714-0.840) and the SOFA Score (AUC=0.721, 95% CI: 0.647-0.796). The results of internal validation showed that the AUC of the model was 0.774 (95% CI: 0.679-0.869), and the goodness of fit test showed a good fitting of this model (χ2=4.629, P>0.05).

CONCLUSION

The risk prediction model for in-hospital mortality of patients on VA-ECMO has good differentiation, calibration and clinical effectiveness and outperforms the commonly used disease severity scoring system, and thus can be used for assessing disease severity and prognostic risk level in critically ill patients.

Prognostic Utility of Society for Cardiovascular Angiography and Interventions Shock Stage Approach for Classifying Cardiogenic Shock Severity in Takotsubo Syndrome

BACKGROUND

Cardiogenic shock (CS) is a significant complication of Takotsubo syndrome (TTS), contributing to heightened mortality and morbidity. Despite this, the Society for Cardiovascular Angiography and Interventions (SCAI) staging system for CS severity lacks validation in patients with TTS and CS. This study aimed to characterize a patient cohort with TTS using the SCAI staging system and assess its utility in cases of TTS complicated by CS.

METHODS AND RESULTS

From a TTS national registry, 1591 consecutive patients were initially enrolled and stratified into 5 SCAI stages (A through E). Primary outcome was all-cause in-hospital mortality; secondary end points were TTS-related in-hospital complications and 1-year all-cause mortality. After exclusions, the final cohort comprised 1163 patients, mean age 71.0±11.8 years, and 87% were female. Patients were categorized across SCAI shock stages as follows: A 72.1%, B 12.2%, C 11.2%, D 2.7%, and E 1.8%. Significant variations in baseline demographics, comorbidities, clinical presentations, and in-hospital courses were observed across SCAI shock stages. After multivariable adjustment, each higher SCAI shock stage showed a significant association with increased in-hospital mortality (adjusted odds ratio: 1.77-29.31) compared with SCAI shock stage A. Higher SCAI shock stages were also associated with increased 1-year mortality.

CONCLUSIONS

In a large multicenter patient cohort with TTS, the functional SCAI shock stage classification effectively stratified mortality risk, revealing a continuum of escalating shock severity with higher stages correlating with increased in-hospital mortality. This study highlights the applicability and prognostic value of the SCAI staging system in TTS-related CS.

Triple platelet inhibition in intracranial thrombectomy with additional acute cervical stent angioplasty due to tandem lesion: a retrospective single-center analysis

BACKGROUND

Acute stroke treatment with intracranial thrombectomy and treatment of ipsilateral carotid artery stenosis/occlusion ("tandem lesion", TL) in one session is considered safe. However, the risk of stent restenosis after TL treatment is high, and antiplatelet therapy (APT) preventing restenosis must be well balanced to avoid intracranial hemorrhage. We investigated the safety and 90-day outcome of patients receiving TL treatment under triple-APT, focused on stent-patency and possible disadvantageous comorbidities.

METHODS

Patients receiving TL treatment in the setting of acute stroke between 2013 and 2022 were analyzed regarding peri-/postprocedural safety and stent patency after 90 days. All patients received intravenous eptifibatide and acetylsalicylic acid and one of the three drugs prasugrel, clopidogrel, or ticagrelor. Duplex imaging was performed 24 h after treatment, at discharge and 90 days, and digital subtraction angiography was performed if restenosis was suspected.

RESULTS

176 patients were included. Periprocedural complications occurred in 2.3% of the patients at no periprocedural death, and in-hospital death in 13.6%. Discharge mRS score was maintained or improved at the 90-day follow-up in 86%, 4.54% had an in-stent restenosis requiring treatment at 90 days. No recorded comorbidity considered disadvantageous for stent patency showed statistical significance, the duration of the endovascular procedure had no significant effect on outcome.

CONCLUSION

In our data, TL treatment with triple APT resulted in a low restenosis rate, low rates of sICH and a comparably high number of patients with favorable outcome. Aggressive APT in the initial phase may therefore have the potential to prevent recurrent stroke better than restrained platelet inhibition. Comorbidities did not influence stent patency.

Health Care Access Dimensions and Racial Disparities in End-of-Life Care Quality among Patients with Ovarian Cancer

This study investigated the association between health care access (HCA) dimensions and racial disparities in end-of-life (EOL) care quality among non-Hispanic Black (NHB), non-Hispanic White (NHW), and Hispanic patients with ovarian cancer. This retrospective cohort study used the Surveillance, Epidemiology, and End Results-linked Medicare data for women diagnosed with ovarian cancer from 2008 to 2015, ages 65 years and older. Health care affordability, accessibility, and availability measures were assessed at the census tract or regional levels, and associations between these measures and quality of EOL care were examined using multivariable-adjusted regression models, as appropriate. The final sample included 4,646 women [mean age (SD), 77.5 (7.0) years]; 87.4% NHW, 6.9% NHB, and 5.7% Hispanic. In the multivariable-adjusted models, affordability was associated with a decreased risk of intensive care unit stay [adjusted relative risk (aRR) 0.90, 95% confidence interval (CI): 0.83-0.98] and in-hospital death (aRR 0.91, 95% CI: 0.84-0.98). After adjustment for HCA dimensions, NHB patients had lower-quality EOL care compared with NHW patients, defined as: increased risk of hospitalization in the last 30 days of life (aRR 1.16, 95% CI: 1.03-1.30), no hospice care (aRR 1.23, 95% CI: 1.04-1.44), in-hospital death (aRR 1.27, 95% CI: 1.03-1.57), and higher counts of poor-quality EOL care outcomes (count ratio:1.19, 95% CI: 1.04-1.36). HCA dimensions were strong predictors of EOL care quality; however, racial disparities persisted, suggesting that additional drivers of these disparities remain to be identified.

SIGNIFICANCE

Among patients with ovarian cancer, Black patients had lower-quality EOL care, even after adjusting for three structural barriers to HCA, namely affordability, availability, and accessibility. This suggests an important need to investigate the roles of yet unexplored barriers to HCA such as accommodation and acceptability, as drivers of poor-quality EOL care among Black patients with ovarian cancer.

Advances of presepsin in sepsis-associated ARDS

This article reviews the correlation between presepsin and sepsis and the resulting acute respiratory distress syndrome (ARDS). ARDS is a severe complication of sepsis. Despite the successful application of protective mechanical ventilation, restrictive fluid therapy, and neuromuscular blockade, which have effectively reduced the morbidity and mortality associated with ARDS, the mortality rate among patients with sepsis-associated ARDS remains notably high. The challenge lies in the prediction of ARDS onset and the timely implementation of intervention strategies. Recent studies have demonstrated significant variations in presepsin (PSEP) levels between patients with sepsis and those without, particularly in the context of ARDS. Moreover, these studies have revealed substantially elevated PSEP levels in patients with sepsis-associated ARDS compared to those with nonsepsis-associated ARDS. Consequently, PSEP emerges as a valuable biomarker for identifying patients with an increased risk of sepsis-associated ARDS and to predict in-hospital mortality.

Scrutinizing mechanical circulatory support in cardiogenic shock: Have we jumped the gun?

Despite increasing therapeutic options and disposable resources, cardiogenic shock (CS) remains a formidable condition with high mortality. Today, veno-arterial extracorporeal membrane oxygenation and microaxial flow devices (Impella, Abiomed, Danvers, USA) are established forms of mechanical circulatory support (MCS) in CS, with increasing application over the years. Despite this trend, incorporation into current ESC (Class IIa, evidence C) and AHA/ACC (Class IIa, evidence B-NR) guidelines is based nearly exclusively on observational results. Despite these recommendations and increasing application, current evidence from randomized controlled trials has not provided clear mortality benefit. Thus, reflection on current evidence is hereby justified.

Association between normalized lactate load and in-hospital mortality in patients with acute myocardial infarction

BACKGROUND

Lactate was a prognostic indicator for acute myocardial infarction (AMI) patients. However, the association between normalized lactate load, representing hypoxic burden over time, and in-hospital mortality remained uncertain.

METHODS

The data for this study was obtained from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 2.1) database. The normalized lactate load, describing the average intensity of hyperlactatemia, was calculated as the area under the curve (AUC) of lactate divided by time. 5882 AMI patients enrolled in this study were divided into survivor (n = 5015), and non-survivor group (n = 867). The primary endpoint was in-hospital mortality. Receiver operating characteristic (ROC) curves were generated to assess the predictive efficacy of normalized lactate load for in-hospital mortality, and areas under the curves of different parameters were compared using DeLong test. Multivariate binary logistic regression analysis was employed to explore the association between normalized lactate load and in-hospital mortality. The adjusting variables included age, gender, ethnicity, heart rate, systolic blood pressure, congestive heart failure, shock, dyslipidemia, cardiac arrest, cerebrovascular disease, neutrophil, lymphocyte, creatinine, blood nitrogen urea, clopidogrel, beta-blockers, angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB), statins, dialysis, extracorporeal membrane oxygenation (ECMO), the Sequential Organ Failure Assessment (SOFA) score and Simplified Acute Physiology Score II (SAPS II). Restricted cubic spline (RCS) was conducted to evaluate nonlinear associations of normalized lactate load with in-hospital mortality.

RESULTS

The overall in-hospital mortality rate was 14.7%. After adjusting for confounding variables, normalized lactate load was independently associated with increased risk of in-hospital mortality (Normalized lactate load≥2.6 vs Normalized lactate load<2.6: OR, 95% CI: 1.56, 1.27-1.93). The RCS demonstrated a positive linear relationship between normalized lactate load and in-hospital mortality (non-linear p = 0.725). ROC curves showed that normalized lactate load was better than first lactate, maximum lactate, and mean lactate in predicting in-hospital mortality, but lower than SOFA and SAPS II. Among participants with at least nine lactate measures, normalized lactate load showed predictive performance comparable to SOFA and SAPS II.

CONCLUSION

Normalized lactate load can be used to predict the prognosis of in-hospital mortality in AMI patients, and its prediction performance increases with the increase of lactate measurement.

Acute ischemic stroke outcomes in patients with COVID-19: a systematic review and meta-analysis

BACKGROUND

Although patients with COVID-19 have a higher risk of acute ischemic stroke (AIS), the impact on stroke outcomes remains uncertain.

AIMS

To determine the clinical outcomes of patients with AIS and COVID-19 (AIS-COVID+).

METHODS

We performed a systematic review and meta-analysis following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. Our protocol was registered with the International Prospective Register of Systematic Reviews (CRD42020211977). Systematic searches were last performed on June 3, 2021 in EMBASE, PubMed, Web-of-Science, Scopus, and CINAHL Databases.

INCLUSION CRITERIA

(1) studies reporting outcomes on AIS-COVID+; (2) original articles published in 2020 or later; (3) study participants aged ≥18 years.

EXCLUSION CRITERIA

(1) case reports with <5 patients, abstracts, review articles; (2) studies analyzing novel interventions. Risk of bias was assessed using the Mixed Methods Appraisal Tool. Random-effects models estimated the pooled OR and 95% confidence intervals (95% CI) for mortality, modified Rankin Scale (mRS) score, length of stay (LOS), and discharge disposition.

RESULTS

Of the 43 selected studies, 46.5% (20/43) reported patients with AIS without COVID-19 (AIS-COVID-) for comparison. Random-effects model included 7294 AIS-COVID+ and 158 401 AIS-COVID-. Compared with AIS-COVID-, AIS-COVID+ patients had higher in-hospital mortality (OR=3.87 (95% CI 2.75 to 5.45), P<0.001), less mRS scores 0-2 (OR=0.53 (95% CI 0.46 to 0.62), P<0.001), longer LOS (mean difference=4.21 days (95% CI 1.96 to 6.47), P<0.001), and less home discharge (OR=0.31 (95% CI 0.21 to 0.47), P<0.001).

CONCLUSIONS

Patients with AIS-COVID had worse outcomes, with almost fourfold increased mortality, half the odds of mRS scores 0-2, and one-third the odds of home discharge. These findings confirm the significant impact of COVID-19 on early stroke outcomes.

Long-term outcome in new onset refractory status epilepticus: a retrospective study

BACKGROUND

New onset refractory status epilepticus (NORSE) is a neurologic emergency without an immediately identifiable cause. The complicated and long ICU stay of the patients can lead to perceiving a prolongation of therapies as futile. However, a recovery is possible even in severe cases. This retrospective study investigates ICU treatments, short- and long-term outcome and ethical decisions of a case series of patients with NORSE.

METHODS

Overall, 283 adults were admitted with status epilepticus (SE) to the Neurocritical Care Unit of the University Hospital Zurich, Switzerland, between 01.2010 and 12.2022. Of them, 25 had a NORSE. We collected demographic, clinical, therapeutic and outcome data. Descriptive statistics was performed.

RESULTS

Most patients were female (68%), previously healthy (Charlson comorbidity index 1 [0-4]) and relatively young (54 ± 17 years). 96% presented with super-refractory SE. Despite extensive workup, the majority (68%) of cases remained cryptogenic. Most patients had a long and complicated ICU stay. The in-hospital mortality was 36% (n = 9). The mortality at last available follow-up was 56% (n = 14) on average 30 months after ICU admission. The cause of in-hospital death for 89% (n = 8) of the patients was the withholding/withdrawing of therapies. Medical staff except for one patient triggered the decision. The end of life (EOL) decision was taken 29 [12-51] days after the ICU admission. Death occurred on day 6 [1-8.5] after the decision was taken. The functional outcome improved over time for 13/16 (81%) hospital survivors (median mRS at hospital discharge 4 [3.75-5] vs. median mRS at last available follow-up 2 [1.75-3], p < 0.001).

CONCLUSIONS

Our data suggest that the long-term outcome can still be favorable in NORSE survivors, despite a prolonged and complicated ICU stay. Clinicians should be careful in taking EOL decisions to avoid the risk of a self-fulfilling prophecy. Our results encourage clinicians to continue treatment even in initially refractory cases.

Sex differences in outcomes after acute coronary syndrome vary with age: a New Zealand national study

AIMS

This study investigated age-specific sex differences in short- and long-term clinical outcomes following hospitalization for a first-time acute coronary syndrome (ACS) in New Zealand (NZ).

METHODS AND RESULTS

Using linked national health datasets, people admitted to hospital for a first-time ACS between January 2010 and December 2016 were included. Analyses were stratified by sex and 10-year age groups. Logistic and Cox regression were used to assess in-hospital death and from discharge the primary outcome of time to first cardiovascular (CV) readmission or death and other secondary outcomes at 30 days and 2 years. Among 63 245 people (mean age 69 years, 40% women), women were older than men at the time of the ACS admission (mean age 73 vs. 66 years), with a higher comorbidity burden. Overall compared with men, women experienced higher rates of unadjusted in-hospital death (10% vs. 7%), 30-day (16% vs. 12%) and 2-year (44% vs. 34%) death, or CV readmission (all P < 0.001). Age group-specific analyses showed sex differences in outcomes varied with age, with younger women (<65 years) at higher risk than men and older women (≥85 years) at lower risk than men: unadjusted hazard ratio of 2-year death or CV readmission for women aged 18-44 years = 1.51 [95% confidence interval (CI) 1.21-1.84] and aged ≥85 years = 0.88 (95% CI 0.83-0.93). The increased risk for younger women was no longer significant after multivariable adjustment whereas the increased risk for older men remained.

CONCLUSION

Men and women admitted with first-time ACS have differing age and comorbidity profiles, resulting in contrasting age-specific sex differences in the risk of adverse outcomes between the youngest and oldest age groups.

Pre-Sepsis Length of Hospital Stay and Mortality: A Nationwide Multicenter Cohort Study

BACKGROUND

Prolonged length of hospital stay (LOS) is associated with an increased risk of hospital-acquired conditions and worse outcomes. We conducted a nationwide, multicenter, retrospective cohort study to determine whether prolonged hospitalization before developing sepsis has a negative impact on its prognosis.

METHODS

We analyzed data from 19 tertiary referral or university-affiliated hospitals between September 2019 and December 2020. Adult patients with confirmed sepsis during hospitalization were included. In-hospital mortality was the primary outcome. The patients were divided into two groups according to their LOS before the diagnosis of sepsis: early- (< 5 days) and late-onset groups (≥ 5 days). Conditional multivariable logistic regression for propensity score matched-pair analysis was employed to assess the association between late-onset sepsis and the primary outcome.

RESULTS

A total of 1,395 patients were included (median age, 68.0 years; women, 36.3%). The early- and late-onset sepsis groups comprised 668 (47.9%) and 727 (52.1%) patients. Propensity score-matched analysis showed an increased risk of in-hospital mortality in the late-onset group (adjusted odds ratio [aOR], 3.00; 95% confidence interval [CI], 1.69-5.34). The same trend was observed in the entire study population (aOR, 1.85; 95% CI, 1.37-2.50). When patients were divided into LOS quartile groups, an increasing trend of mortality risk was observed in the higher quartiles (P for trend < 0.001).

CONCLUSION

Extended LOS before developing sepsis is associated with higher in-hospital mortality. More careful management is required when sepsis occurs in patients hospitalized for ≥ 5 days.

Postoperative morbidity and mortality of patients with COVID-19 undergoing cardiovascular surgery: an inverse propensity-weighted study : Postoperative outcomes of patients undergoing cardiovascular surgery during the COVID-19 pandemic

BACKGROUND

To evaluate the postoperative morbidity and mortality of patients undergoing cardiovascular surgery during the 2022 nationwide Omicron variant infection wave in China.

METHODS

This retrospective cohort study included 403 patients who underwent cardiovascular surgery for the first time during the 2022 wave of the pandemic within 1 month. Among them, 328 patients were preoperatively diagnosed with COVID-19 Omicron variant infection during the pandemic, and 75 patients were negative. The association between Omicron variant exposure and postoperative prognosis was explored by comparing patients with and without COVID-19 exposure. The primary outcome was in-hospital death after cardiovascular surgery. The secondary outcomes were major postoperative morbidity, including myocardial infarction (MI), acute kidney injury (AKI), postoperative mechanical ventilation hours, ICU stay hours, and postoperative length of stay. The data were analyzed using inverse probability of treatment weighting (IPTW) to minimize bias.

RESULTS

We identified 403 patients who underwent cardiovascular surgery, 328 (81.39%) had Omicron variant infections. In total, 10 patients died in the hospital. Omicron variant infection was associated with a much greater risk of death during cardiovascular surgery after adjustment for IPTW (2.8% vs. 1.3%, adjusted OR 2.185, 95%CI = 1.193 to 10.251, P = 0.041). For major postoperative morbidity, there were no significant differences in terms of myocardial infarction between the two groups (adjusted OR = 0.861, 95%CI = 0.444 to 1.657, P = 0.653), acute kidney injury (adjusted OR = 1.157, 95%CI = 0.287 to 5.155, P = 0.820), postoperative mechanical ventilation hours (B -0.375, 95%CI=-8.438 to 7.808, P = 0.939), ICU stay hours (B 2.452, 95%CI=-13.269 to 8.419, P = 0.660) or postoperative stay (B -1.118, 95%CI=-2.237 to 1.154, P = 0.259) between the two groups.

CONCLUSION

Perioperative COVID-19 infection was associated with an increased risk of in-hospital death among patients who underwent cardiovascular surgery during the Omicron variant wave of the pandemic.

[Hospital admissions and outcomes for systolic and diastolic heart failure in Spain between 2016 and 2019: A population-based study]

BACKGROUND AND PURPOSE

In Spain there is a lack of population data that specifically compare hospitalization for systolic and diastolic heart failure (HF). We assessed clinical characteristics, in-hospital mortality and 30-day cardiovascular readmission rates differentiating by HF type.

METHODS

We conducted a retrospective observational study of patients discharged with the principal diagnosis of HF from The National Health System' acute hospital during 2016-2019, distinguishing between systolic and diastolic HF. The source of the data was the Minimum Basic Data Set. The risk-standardized in-hospital mortality ratio and risk-standardized 30-day cardiovascular readmission ratio were calculated using multilevel risk adjustment models.

RESULTS

The 190,200 episodes of HF were selected. Of these, 163,727 (86.1%) were classified as diastolic HF and were characterized by older age, higher proportion of women, diabetes mellitus, dementia and renal failure than those with systolic HF. In the multilevel risk adjustment models, diastolic HF was a protective factor for both in-hospital mortality (odds ratio [OR]: 0.79; 95% confidence interval [CI]: 0.75-0.83; P<.001) and 30-day cardiovascular readmission versus systolic HF (OR: 0.93; 95% CI: 0.88-0.97; P=.002).

CONCLUSIONS

In Spain, between 2016 and 2019, hospitalization episodes for HF were mostly due to diastolic HF. According to the multilevel risk adjustment models, diastolic HF compared to systolic HF was a protective factor for both in-hospital mortality and 30-day cardiovascular readmission.

Mortality and associated factors among children admitted to an intensive care unit in muhimbili national hospital, from the time of admission to three months after discharge: a prospective cohort study

BACKGROUND

Mortality of children admitted to Intensive Care Units (ICU) is higher in low-to-middle-income countries (LMICs) as compared to high-income countries (HICs). There is paucity of information on outcomes following discharge from ICU, especially from sub-Saharan Africa region. This study was conducted to determine mortality and its associated factors among children admitted to Pediatric ICU (PICU) at Muhimbili National Hospital, from admission to three months after discharge.

METHODOLOGY

This was a hospital-based prospective cohort study conducted between July 2021 and May 2022, among children admitted to PICU who were followed up for 3-month after discharge. Structured questionnaires were used to collect data from their medical charts. Telephone interviews were made after discharge. Medical records and verbal autopsy were used to determine the cause of death after discharge. Cox regression analysis was performed to assess the association between variables. A p-value of < 0.05 was considered statistically significant. Survival after PICU discharge was estimated by Kaplan - Meier curve.

RESULTS

Of 323 children recruited, 177(54.8%) were male, with a median age of 17 months (1-168). The leading cause of PICU admission was severe sepsis 90/323(27.9%). A total of 161/323 children died, yielding an overall mortality of 49.8%. Of 173 children discharged from PICU, 33(19.1%) died. The leading cause of death among children who died in the general ward or as readmission into PICU was sepsis 4/17(23.5%). Respiratory diseases 4/16(25.0%) were the commonest cause of death among those who died after hospital discharge. Independent predictors of overall mortality included single organ dysfunction with hazard ratio(HR):5.97, 95% confidence interval (CI)(3.05-12.26)] and multiple organ dysfunction [HR:2.77,95%CI(1.03-2.21)]. Chronic illness[HR:8.13,95%CI(2.45-27.02)], thrombocytosis [HR:3.39,95%CI(1.32-8.73)], single[HR:3.57,95%CI(1.42-9.03)] and multiple organ dysfunction[HR:3.11,95%CI(1.01-9.61)] independently predicted post-PICU discharge mortality.

CONCLUSION

Overall mortality and post- PICU discharge mortality were high and more likely to affect children with organ dysfunction, chronic illness, and thrombocytosis. The leading causes of mortality post- PICU discharge were sepsis and respiratory diseases. There is a need for a focused follow up plan of children post- PICU discharge, further research on the long term survival and strategies to improve it.

Letter to the editor: Effect of low fibrinogen level on in-hospital mortality and 6-month functional outcome of TBI patients, a single center experience, the retrospective cohort study

This retrospective cohort study aimed to investigate the impact of low fibrinogen levels on in-hospital mortality and 6-month functional outcomes in patients with traumatic brain injury (TBI) within a single center,focusing on the strengths, weaknesses, and suggestions for future research. Patients were followed up to assess in-hospital mortality and functional outcomes at six months post-injury using standardized scales. Statistical analyses, including multivariable regression models, were employed to evaluate the association between low fibrinogen levels and outcomes, adjusting for potential confounders, and revealed a significant association between low fibrinogen levels and increased in-hospital mortality rates among patients with TBI (p < 0.05). Additionally, patients with low fibrinogen levels exhibited poorer functional outcomes at the 6-month follow-up, as evidenced by lower scores on functional assessment scales than those with normal fibrinogen levels, suggesting that low fibrinogen levels upon admission may serve as a prognostic indicator for adverse outcomes in patients with TBI, including higher in-hospital mortality rates and impaired functional recovery at 6 months post-injury. Furthermore, this study explored conservative and surgical management approaches, offering valuable insights into treatment decision-making and outcomes. Future research should prioritize prospective, multicenter studies with standardized protocols, collaborative efforts among institutions, and innovative techniques to advance our understanding and management.

Association between albumin-corrected anion gap and in-hospital mortality of intensive care patients with trauma: A retrospective study based on MIMIC-Ⅲ and Ⅳ databases

BACKGROUND

To investigate the correlation between albumin-corrected anion gap(ACAG) within the first 24 hours of admission and in-hospital mortality in trauma patients in intensive care unit(ICU).

MATERIALS AND METHODS

We utilized the MIMIC-Ⅲ and MIMIC-Ⅳ databases to examine trauma patients admitted to the ICU. The relationship between ACAG and in-hospital mortality in trauma patients was analyzed using Receiver Operating Characteristic(ROC) curve, Kaplan-Meier (K-M) survival curve, and Cox regression model. Propensity score matching (PSM) and subgroup analysis were conducted to enhance stability and reliability of the findings. Mortality at 30-day and 90-day served as secondary outcomes.

RESULTS

The study enrolled a total of 1038 patients. The AUC for ACAG (0.701, 95%CI: 0.652-0.749) was notably higher than that for anion gap and albumin. The Log-rank test revealed that the optimal cut-off point of ACAG for predicting in-hospital mortality was determined to be 20.375mmol/L. The multivariate Cox regression analysis demonstrated an independent association between high ACAG level and a higher risk of in-hospital mortality (HR = 3.128, 95% CI: 1.615-6.059). After PSM analysis, a matched cohort consisting of 291 subjects was obtained. We found no signifcant interaction in most stratas. Finally, The in-hospital, 30-day, and 90-day survival rates in the high ACAG group exhibited a statistically decrease compared to those in the low ACAG group both pre- and post-matching.

CONCLUSION

The elevated level of ACAG was found to be independently associated with increased in-hospital mortality among trauma patients in the ICU.

Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers

BACKGROUND

This study aimed to develop and validate an interpretable machine-learning model that utilizes clinical features and inflammatory biomarkers to predict the risk of in-hospital mortality in critically ill patients suffering from sepsis.

METHODS

We enrolled all patients diagnosed with sepsis in the Medical Information Mart for Intensive Care IV (MIMIC-IV, v.2.0), eICU Collaborative Research Care (eICU-CRD 2.0), and the Amsterdam University Medical Centers databases (AmsterdamUMCdb 1.0.2). LASSO regression was employed for feature selection. Seven machine-learning methods were applied to develop prognostic models. The optimal model was chosen based on its accuracy, F1 score and area under curve (AUC) in the validation cohort. Moreover, we utilized the SHapley Additive exPlanations (SHAP) method to elucidate the effects of the features attributed to the model and analyze how individual features affect the model's output. Finally, Spearman correlation analysis examined the associations among continuous predictor variables. Restricted cubic splines (RCS) explored potential non-linear relationships between continuous risk factors and in-hospital mortality.

RESULTS

3535 patients with sepsis were eligible for participation in this study. The median age of the participants was 66 years (IQR, 55-77 years), and 56% were male. After selection, 12 of the 45 clinical parameters collected on the first day after ICU admission remained associated with prognosis and were used to develop machine-learning models. Among seven constructed models, the eXtreme Gradient Boosting (XGBoost) model achieved the best performance, with an AUC of 0.94 and an F1 score of 0.937 in the validation cohort. Feature importance analysis revealed that Age, AST, invasive ventilation treatment, and serum urea nitrogen (BUN) were the top four features of the XGBoost model with the most significant impact. Inflammatory biomarkers may have prognostic value. Furthermore, SHAP force analysis illustrated how the constructed model visualized the prediction of the model.

CONCLUSIONS

This study demonstrated the potential of machine-learning approaches for early prediction of outcomes in patients with sepsis. The SHAP method could improve the interoperability of machine-learning models and help clinicians better understand the reasoning behind the outcome.

Association between admission heart rate and in-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease and respiratory failure: a retrospective cohort study

BACKGROUND

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) combined with respiratory failure (RF) is a chronic respiratory disease that seriously endangers human health. This study aimed to specifically evaluate the relationship between admission heart rate (AHR) and in-hospital mortality in patients with combined AECOPD and RF to better inform clinical treatment.

METHODS

This retrospective cohort study included 397 patients admitted to a Chinese hospital between January 2021 and March 2023. The primary outcome measure was all-cause in-hospital mortality. Multivariate logistic regression analyses were performed to calculate adjusted hazard ratios (OR) with corresponding 95% confidence intervals (CI), and curve fitting and threshold effect were performed to address nonlinear relationships.

RESULTS

In total, 397 patients with AECOPD/RF were screened. The mean (± SD) age of the study cohort was 72.6 ± 9.5 years, approximately 49.4% was female, and the overall in-hospital mortality rate was 5%. Multivariate logistic regression analysis and smooth curve fitting revealed a nonlinear association between AHR and in-hospital mortality in the study population, with 100 beats/min representing the inflection point. Left of the inflection point, the effect size (OR) was 0.474 (95% CI 0.016 ~ 13.683; p = 0.6635). On the right side, each 1 beat/min increase in AHR resulted in an effect size (OR) of 1.094 (95% CI 1.01 ~ 1.186; p = 0.0281).

CONCLUSIONS

Results of the present study demonstrated a nonlinear relationship between AHR and in-hospital mortality in patients with AECOPD/RF. When AHR was < 100 beats/min, it was not statistically significant; however, AHR > 100 beats/min was a predictor of potential mortality, which increased by 9.4% for every 1 beat/min increase in AHR.

In-hospital mortality of patients with acute coronary syndrome (ACS) after implementation of national health insurance (NHI) in Indonesia

BACKGROUND

The National Health Insurance (NHI) was implemented in Indonesia in 2014, and cardiovascular diseases are one of the diseases that have overburdened the healthcare system. However, data concerning the relationship between NHI and cardiovascular healthcare in Indonesia are scarce. We aimed to describe changes in cardiovascular healthcare after the implementation of the NHI while determining whether the implementation of the NHI is related to the in-hospital mortality of patients with acute coronary syndrome (ACS).

METHODS

This is a retrospective comparative study of two cohorts in which we compared the data of 364 patients with ACS from 2013 to 2014 (Cohort 1), before and early after NHI implementation, with those of 1142 patients with ACS from 2018 to 2020 (Cohort 2), four years after NHI initiation, at a tertiary cardiac center in Makassar, Indonesia. We analyzed the differences between both cohorts using chi-square test and Mann-Whitney U test. To determine the association between NHI and in-hospital mortality, we conducted multivariable logistic regression analysis.

RESULTS

We observed an increase in NHI users (20.1% to 95.6%, p < 0.001) accompanied by a more than threefold increase in patients with ACS admitted to the hospital in Cohort 2 (from 364 to 1142, p < 0.001). More patients with ACS received invasive treatment in Cohort 2, with both thrombolysis and percutaneous coronary intervention (PCI) rates increasing more than twofold (9.2% to 19.2%; p < 0.001). There was a 50.8% decrease in overall in-hospital mortality between Cohort 1 and Cohort 2 (p < 0.001).

CONCLUSIONS

This study indicated the potential beneficial effect of universal health coverage (UHC) in improving cardiovascular healthcare by providing more accessible treatment. It can provide evidence to urge the Indonesian government and other low- and middle-income nations dealing with cardiovascular health challenges to adopt and prioritize UHC.

Emergency Department Use and Hospital Mortality Among Heart Transplant Recipients in the United States

BACKGROUND

Annual heart transplant (HT) volumes have increased, as have post-HT outpatient care needs. Data on HT-related emergency department (ED) visits are limited.

METHODS AND RESULTS

A retrospective analysis of 177 450 HT patient ED visits from the 2009 to 2018 Nationwide Emergency Department Sample was conducted. HT recipients, primary diagnoses, and comorbidities associated with ED visits were identified via International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, Tenth Revision (ICD-10) codes. Multivariable logistic regression was used to predict outcomes of hospital admission and death. HT volumes and HT-related ED visits increased from 2009 to 2018. Infection was the most common primary diagnosis (24%), and cardiac primary diagnoses represented 10% of encounters. Hospital admissions occurred in 48% of visits, but overall mortality was low (1.6%). Length of stay was 3.1 days (interquartile range, 1.6-5.9 days), and comorbidity burden was high: 42% had hypertension, 38% had diabetes, and 31% had ≥2 comorbidities. Those aged ≥65 years had significantly higher odds of admission (odds ratio [OR], 2.14 [95% CI, 1.97-2.33]) and death (OR, 2.06 [95% CI, 1.61-2.62]). Comorbidities increased odds of admission (OR, 1.62 [95% CI, 1.51-1.75]) but not death. Renal primary diagnosis had the highest risk of admission (OR, 4.1 [95% CI, 3.6-4.6]), but cardiac primary diagnosis had the highest odds of death (OR, 11.6 [95% CI, 9.1-14.8]).

CONCLUSIONS

HT-related ED visits increased from 2009 to 2018 with high admission rates but low in-hospital mortality, suggesting an opportunity to improve prehospital care. Older patients and those with cardiac primary diagnoses had the highest risk of death. The observed contrast between predictors of admission and mortality signals a need for further study to improve risk stratification and outpatient care strategies.

Rate of Deceased Kidney Donation From Potential In-Hospital Deaths in the US, 2003-2021

This cross-sectional study calculates deceased kidney donation rates in the US using deaths compatible with donation as the metric’s denominator.

Impact of COVID-19 versus other pneumonia on in-hospital mortality and functional decline among Japanese dialysis patients: a retrospective cohort study

Coronavirus disease 2019 (COVID-19) affects both life and health. However, the differentiation from other types of pneumonia and effect of kidney disease remains uncertain. This retrospective observational study investigated the risk of in-hospital death and functional decline in ≥ 20% of Barthel Index scores after COVID-19 compared to other forms of pneumonia among Japanese adults, both with and without end-stage kidney disease (ESKD). The study enrolled 123,378 patients aged 18 years and older from a national inpatient administrative claims database in Japan that covers the first three waves of the COVID-19 pandemic in 2020. After a 1:1:1:1 propensity score matching into non-COVID-19/non-dialysis, COVID-19/non-dialysis, non-COVID-19/dialysis, and COVID-19/dialysis groups, 2136 adults were included in the analyses. The multivariable logistic regression analyses revealed greater odds ratios (ORs) of death [5.92 (95% CI 3.62-9.96)] and functional decline [1.93 (95% CI 1.26-2.99)] only in the COVID-19/dialysis group versus the non-COVID-19/non-dialysis group. The COVID-19/dialysis group had a higher risk of death directly due to pneumonia (OR 6.02, 95% CI 3.50-10.8) or death due to other diseases (OR 3.00, 95% CI 1.11-8.48; versus the non-COVID-19/non-dialysis group). COVID-19 displayed a greater impact on physical function than other types of pneumonia particularly in ESKD.

Machine learning-based prediction of in-hospital mortality in patients with pneumonic chronic obstructive pulmonary disease exacerbations

OBJECTIVE

While linear regression and LASSO models have been established for predicting in-hospital mortality, there is currently no validated clinical prediction algorithm to predict in-hospital mortality for patients with chronic obstructive pulmonary disease (COPD) exacerbations using machine learning. Thus, we will evaluate the BAP-65 and CURB-65, and construct a novel prediction model using the random forest (RF) technique.

METHODS

A dataset of 1,418 patients with COPD exacerbations was collected. Age, gender, mental status, vital signs, and laboratory results were all taken into account for predictors. The categorical outcome variable was hospital-based mortality of people over 65 years. The dataset was divided randomly into a training dataset (70%) and a testing dataset (30%). We trained three prediction models, BAP-65, CURB-65, and the RF model, estimated the area under the receiver operating characteristic curve (AUROC) for the entire dataset. We also conducted a comparison of the AUROC values using the Delong test.

RESULTS

A total of 658 individuals with COPD acute exacerbations were enrolled. Our analysis using the receiver operating characteristic curve demonstrated that the RF model exhibited excellent performance, with an AUROC of 0.80 (95% confidence interval: 0.75-0.84). In comparison, the BAP-65 prediction model yielded an AUROC of 0.72 (0.68-0.75), while the CURB-65 prediction model achieved an AUROC of 0.69 (0.67-0.73).

CONCLUSIONS

The RF model demonstrated superior predictive capabilities than the BAP-65 and CURB-65 models in predicting in-hospital mortality. The results further highlighted significant factors for predicting in-hospital mortality, including blood eosinophil count, systolic blood pressure, and prior history of asthma.

Clinical profile, management and outcomes of patients with cardiogenic shock undergoing transfer between centers in Spain

INTRODUCTION AND OBJECTIVES

The aim of this study was to analyze the clinical profile, management, and prognosis of ST segment elevation myocardial infarction-related cardiogenic shock (STEMI-CS) requiring interhospital transfer, as well as the prognostic impact of structural variables of the treating centers in this setting.

METHODS

This study included patients with STEMI-CS treated at revascularization-capable centers from 2016 to 2020. The patients were divided into the following groups: group A: patients attended throughout their admission at hospitals with interventional cardiology without cardiac surgery; group B: patients treated at hospitals with interventional cardiology and cardiac surgery; and group C: patients transferred to centers with interventional cardiology and cardiac surgery. We analyzed the association between the volume of STEMI-CS cases treated, the availability of cardiac intensive care units (CICU), and heart transplant with hospital mortality.

RESULTS

A total of 4189 episodes were included: 1389 (33.2%) from group A, 2627 from group B (62.7%), and 173 from group C (4.1%). Transferred patients were younger, had a higher cardiovascular risk, and more commonly underwent revascularization, mechanical circulatory support, and heart transplant during hospitalization (P<.001). The crude mortality rate was lower in transferred patients (46.2% vs 60.3% in group A and 54.4% in group B, (P<.001)). Lower mortality was associated with a higher volume of care and CICU availability (OR, 0.75, P=.009; and 0.80, P=.047).

CONCLUSIONS

The proportion of transfers in patients with STEMI-CS in our setting is low. Transferred patients were younger and underwent more invasive procedures. Mortality was lower among patients transferred to centers with a higher volume of STEMI-CS cases and CICU.

Trends and benefits of early hip arthroplasty for femoral neck fracture in China: a national cohort study

BACKGROUND

Limited studies have examined the benefits of early arthroplasty within 48 h from admission to surgery for femoral neck fractures (FNFs). Using the national inpatient database, the authors aimed to investigate the trends in early arthroplasty within 48 h for FNFs in China and to assess its effect on in-hospital complications and 30-day readmission patterns.

MATERIALS AND METHODS

This was a retrospective cohort study. Patients receiving primary total hip arthroplasty (THA) or hemiarthroplasty (HA) for FNFs in the Hospital Quality Monitoring System between 2013 and 2019 were included. After adjusting for potential confounders with propensity score matching, a logistic regression model was performed to compare the differences in in-hospital complications [i.e. in-hospital death, pulmonary embolism, deep vein thrombosis (DVT), wound infection, and blood transfusion], rates and causes of 30-day readmission between early and delayed arthroplasty.

RESULTS

During the study period, the rate of early THA increased from 18.0 to 19.9%, and the rate of early HA increased from 14.7 to 18.4% ( P <0.001). After matching, 11 731 pairs receiving THA and 13 568 pairs receiving HA were included. Compared with delayed THA, early THA was associated with a lower risk of pulmonary embolism [odds ratio (OR) 0.51, 95% CI: 0.30-0.88], DVT (OR 0.59, 95% CI: 0.50-0.70), blood transfusion (OR 0.62, 95% CI: 0.55-0.70), 30-day readmission (OR 0.82, 95% CI: 0.70-0.95), and venous thromboembolism-related readmission (OR 0.50, 95% CI: 0.34-0.74). Similarly, early HA was associated with a lower risk of DVT (OR 0.70, 95% CI: 0.61-0.80) and blood transfusion (OR 0.74, 95% CI: 0.68-0.81) than delayed HA.

CONCLUSION

Despite a slight increase, the rate of early arthroplasty remained at a low level in China. Given that early arthroplasty can significantly improve prognosis, more efforts are needed to optimize the procedure and shorten the time to surgery.

DEVELOPMENT AND INTERNAL-EXTERNAL VALIDATION OF THE ACCI-SOFA MODEL FOR PREDICTING IN-HOSPITAL MORTALITY OF PATIENTS WITH SEPSIS-3 IN THE ICU: A MULTICENTER RETROSPECTIVE COHORT STUDY

ABSTRACT

Objective: To achieve a better prediction of in-hospital mortality, the Sequential Organ Failure Assessment (SOFA) score needs to be adjusted and combined with comorbidities. This study aims to enhance the prediction of SOFA score for in-hospital mortality in patients with Sepsis-3. Methods: This study adjusted the maximum SOFA score within the first 3 days (Max Day3 SOFA) in relation to in-hospital mortality using logistic regression and incorporated the age-adjusted Charlson Comorbidity Index (aCCI) as a continuous variable to build the age-adjusted Charlson Comorbidity Index-Sequential Organ Failure Assessment (aCCI-SOFA) model. The outcome was in-hospital mortality. We developed, internally validated, and externally validated the aCCI-SOFA model using cohorts of Sepsis-3 patients from the MIMIC-IV, MIMIC-III (CareVue), and the FAHWMU cohort. The predictive performance of the model was assessed through discrimination and calibration, which was assessed using the area under the receiver operating characteristic and calibration curves, respectively. The overall predictive effect was evaluated using the Brier score. Measurements and main results: Compared with the Max Day3 SOFA, the aCCI-SOFA model showed significant improvement in area under the receiver operating characteristic with all cohorts: development cohort (0.81 vs 0.75, P < 0.001), internal validation cohort (0.81 vs 0.76, P < 0.001), MIMIC-III (CareVue) cohort (0.75 vs 0.68, P < 0.001), and FAHWMU cohort (0.72 vs 0.67, P = 0.001). In sensitivity analysis, it was suggested that the application of aCCI-SOFA in early nonseptic shock patients had greater clinical value, with significant differences compared with the original SOFA scores in all cohorts ( P < 0.05). Conclusion: For septic patients in intensive care unit, the aCCI-SOFA model exhibited superior predictive performance. The application of aCCI-SOFA in early nonseptic shock patients had greater clinical value.

Perioperative outcomes of hypertrophic cardiomyopathy: An insight from the National Readmission Database

BACKGROUND

Data regarding hypertrophic obstructive cardiomyopathy (HOCM) patients undergoing noncardiac surgery is lacking. We sought to examine the perioperative outcomes of HOCM patients undergoing noncardiac surgery using a national database.

METHODS

We used the National readmission database from 2016 to 2019. We identified HOCM, heart undergoing noncardiac surgery using ICD 10 codes. We examined hospital outcomes as well as 90 days readmission outcomes.

RESULTS

We identified 16,098 HOCM patients and 21,895,699 non-HOCM patients undergoing noncardiac surgery. The HOCM group had more comorbidities at baseline. After adjustment for major clinical predictors, the HOCM group experienced more in-hospital death, odds ratio (OR) 1.33 (1.216-1.47), P < 0.001, acute myocardial infarction (AMI), OR 1.18 (1.077-1.292), P < 0.001, acute heart failure odds ratio OR 1.3 to (1.220-1.431), P < 0.001, 90 days readmission OR 1.237 (1.069-1.432), P < 0.01, cardiogenic shock OR 2.094 (1.855-2.363), P < 0.001. Cardiac arrhythmia was the most common cause of readmission, out of the arrhythmias atrial fibrillation was the most prevalent. Acute heart failure was the most common complication of readmission. There was no difference in major adverse cardiovascular events (MACE), and AMI between both groups and readmission.

CONCLUSION

HOCM patients undergoing noncardiac surgery may be at increased risk of in-hospital and readmission events. Acute heart failure was the most common complication during index admission, while cardiac arrhythmias were the most common complication during readmission. More research is needed to address this patient population further.

Association between patient-reported onset-to-door time and mortality in patients hospitalized with COVID-19 disease

INTRODUCTION

Timely hospital presentation and treatment are critical for recovery from coronavirus disease (COVID-19). However, the relationship between symptom onset-to-door time and key clinical outcomes, such as inpatient mortality, has been poorly understood due to the difficulty of retrospectively measuring symptom onset in observational data. This study examines the association between patient-reported symptom onset-to-door time (ODT) and mortality among patients hospitalized and treated for COVID-19 disease.

METHODS

We conducted a retrospective cohort study of emergency department (ED) encounters of patients with COVID-19 disease who were hospitalized and received remdesivir and/or dexamethasone between March 1, 2020, and March 1, 2022. The exposure was patient-reported ODT in days. The outcome of interest was inpatient mortality, including referral to hospice care. We used multivariable logistic regression to examine the association between ODT and mortality while adjusting for patient characteristics, hospital sites, and seasonality. We tested whether severe illness on hospital presentation modified the association between ODT and mortality. Severe illness was defined by Emergency Severity Index triage level 1 or 2 and hypoxia (SpO2 < 94%).

RESULTS

Of the 3451 ED hospitalizations included, 439 (12.7%) resulted in mortality, and 1693 (49.1%) involved patients with severe illness on hospital presentation. Greater ODT was significantly associated with lower odds of inpatient mortality (adjusted odds ratio (AOR) = 0.96, 95% CI = 0.93-1.00, P = 0.023). There was a statistically significant interaction between ODT and severe illness at hospital arrival on mortality, suggesting the negative association between ODT and mortality specifically pertained to patients who were not severely ill upon ED presentation (AOR = 0.93, 95% CI = 0.87-1.00, P = 0.035). The adjusted probability of mortality was significantly lower for non-severely ill, hospitalized patients who presented on days 8-14 (5.2%-3.3%) versus days 0-3 (9.4%-7.5%) after symptom onset.

CONCLUSION

More days between symptom onset and hospital arrival were associated with lower mortality among hospitalized patients treated for COVID-19 disease, particularly if they did not have severe illness at ED presentation. However, onset-to-door time was not associated with mortality among hospitalized patients with severe illness at ED presentation. Collectively, these results suggest that non-severely ill COVID-19 patients who require hospitalization are less likely to decompensate with each passing day without severe illness. These findings may continue to guide clinical care delivery for hospitalized COVID-19 patients.

Prognostic value of early warning scores in patients presenting to the emergency department with exacerbation of COPD

OBJECTIVE

Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is a condition that frequently presents to the emergency department (ED) and its prognosis is not very well understood. Risk tools that can be used rapidly in the ED are needed to predict the prognosis of these patients.

METHODS

This study comprised a retrospective cohort of AECOPD patients presenting to a single center between 2015 and 2022. The prognostic accuracy of several clinical early warning scoring systems, Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), NEWS‑2, Systemic Inflammatory Response Syndrome (SIRS) and the quick Sepsis-related Organ Failure Assessment (qSOFA), were compared. The outcome variable was determined as one-month mortality.

RESULTS

Of the 598 patients, 63 (10.5%) had died within 1 month after presenting to the ED. Patients who died had more often congestive heart failure, altered mental status, and admission to intensive care, and they were older. Although the MEWS, NEWS, NEWS‑2, and qSOFA scores of those who died were higher than those who survived, there was no difference between the SIRS scores of these two groups. The score with the highest positive likelihood ratio for mortality estimation was qSOFA (8.5, 95% confidence interval [CI] 3.7-19.6). The negative likelihood ratios of the scores were similar, the NEWS score had a negative likelihood ratio of 0.4 (95% CI 0.2-0.8) with the highest negative predictive value of 96.0%.

CONCLUSION

In AECOPD patients, most of the early warning scores that are frequently used in the ED were found to have a moderate ability to exclude mortality and a low ability to predict mortality.

Treating very preterm European infants with inhaled nitric oxide increased in-hospital mortality but did not affect neurodevelopment at 5 years of age

AIM

We examined the outcomes of using inhaled nitric oxide (iNO) to treat very preterm born (VPT) infants across Europe.

METHODS

This was a sub-study of the Screening to Improve Health in Very Preterm Infants in Europe research. It focused on all infants born between 22 + 0 and 31 + 6 weeks/days of gestation from 2011 to 2012, in 19 regions in 11 European countries. We studied 7268 infants admitted to neonatal care and 5 years later, we followed up the outcomes of 103 who had received iNO treatment. They were compared with 3502 propensity score-matched controls of the same age who did not receive treatment.

RESULTS

All countries used iNO and 292/7268 (4.0%) infants received this treatment, ranging from 1.2% in the UK to 10.5% in France. There were also large regional variations within some countries. Infants treated with iNO faced higher in-hospital mortality than matched controls (odds ratio 2.03, 95% confidence interval 1.33-3.09). The 5-year follow-up analysis of 103 survivors showed no increased risk of neurodevelopmental impairment after iNO treatment.

CONCLUSION

iNO was used for VPT patients in all 11 countries. In-hospital mortality was increased in infants treated with iNO, but long-term neurodevelopmental outcomes were not affected in 103 5-year-old survivors.

The Association Between Gender and Clinical Outcomes in Patients With Moderate to Severe Traumatic Brain Injury: A Systematic Review and Meta-Analysis

INTRODUCTION

Traumatic brain injuries (TBIs) are a significant cause of morbidity and mortality in the United States. but have a disproportionate impact on patients based on gender. This systematic review and meta-analysis aim to compare gender differences in clinical outcomes between male and female adult trauma patients with moderate and severe TBI.

METHODS

Studies assessing gender differences in outcomes following TBIs on PubMed, Google Scholar, EMBASE, and ProQuest were searched. Meta-analysis was performed for outcomes including in-hospital mortality, hospital length of stay, intensive care unit length of stay, and Glasgow outcome scale (GOS) at 6 mo.

RESULTS

Eight studies were included for analysis with 26,408 female and 63,393 male patients. Meta-analysis demonstrated that males had a significantly lower risk of mortality than females (RR: 0.88; 95% CI 0.78, 0.99; P = 0.0001). Females had a shorter hospital length of stay (mean difference -1.4 d; 95% CI - 1.6 d, -1.2 d). No significant differences were identified in intensive care unit length of stay (mean difference -3.0 d; 95% CI -7.0 d, 1.1 d; P = 0.94) or GOS at 6 mo (mean difference 0.2 d; 95% CI -0.9 d, 1.4 d; P = 1).

CONCLUSIONS

Compared to male patients, female patients with moderate and severe TBI had a significantly higher in-hospital mortality risk. There were no significant differences in long-term outcomes between genders based on GOS at 6 mo. These findings warrant further investigation into the etiology of these gender disparities and their impact on additional clinical outcome measures.

Interpretable machine learning for in-hospital mortality risk prediction in patients with ST-elevation myocardial infarction after percutaneous coronary interventions

BACKGROUND AND OBJECTIVE

Despite the constant improvement of coronary heart disease (CHD) diagnostics and treatment methods it remains one of the main causes of death in most countries around the world. And myocardial infarction with ST segment elevation on the electrocardiogram (STEMI) still is one of the most dangerous clinical variants of CHD. This study aims to develop an explainable machine learning model for in-hospital mortality (IHM) risk prediction in STEMI patients after myocardial revascularization by percutaneous coronary intervention (PCI).

METHODS

A single-center observational retrospective study was conducted, enrolling 4677 electronic medical records of patients with STEMI after PCI, which were analyzed using statistical analysis and machine learning methods. A pool of potential IHM predictors was identified, and prognostic models were developed and validated based on multivariate logistic regression, random forest, and stochastic gradient boosting methods at two stages of hospital treatment: during the initial physicians examination in the emergency department and immediately after PCI surgery. To explain the IHM prognosis, threshold values of IHM risk factors were determined using 3 grid search methods for optimal cut-off points, calculating centroids and SHapley Additive exPlanations (SHAP).

RESULTS

IHM prognostic models were developed using clinical and functional status data of STEMI patients during two stages of hospital treatment. The IHM prediction accuracy according to the first scenario was AUC = 0.85, and according to the second - AUC = 0.9. Predictors identified and validated in the models were converted into risk factors. Models whose parameters were risk factors demonstrated high forecast accuracy (AUC = 0.87), with the best model formed using the SHAP method.

CONCLUSIONS

For the forecast result interpretation risk factors obtained by categorizing continuous variables can be used by assessing the impact of the latter on the end point using the SHAP method.

Type A Aortic Dissection in Heart Transplantation Recipients in the United States

BACKGROUND

Type A aortic dissection in heart transplantation recipients is rare and lethal, with limited research beyond case reports. This study aimed to analyze patient characteristics and clinical outcomes of this condition through a US national database.

METHODS

The National Inpatient Sample database (2002-2018) was used to identify all type A aortic dissection in heart transplantation recipients aged >18 years. Incidence was quantified annually. Primary outcomes were in-hospital mortality; secondary outcomes were hospital length of stay and complications.

RESULTS

We identified 78 cases of type A aortic dissection in heart transplantation recipients. Compared with type A aortic dissection patients without a history of solid organ transplantation (N = 70,715), our patients were younger (55.3 vs 60.7 years), less likely female (18.5% vs 33.5%), and more frequently Black or Hispanic (55% vs 23%). They had a greater prevalence of Marfan syndrome (13% vs 3%), congestive heart failure (46% vs 19%), and chronic kidney disease (19% vs 10%), as well as increased in-hospital mortality (30% vs 18%) and a longer hospital length of stay (29.5 vs 13.7 days). They experienced elevated rates of cardiac (57% vs 31%), respiratory (70. % vs 41%), renal (76% vs 30%), and bleeding complications (37% vs 14%).

CONCLUSIONS

Type A aortic dissection in heart transplantation recipients appears to exhibit distinct characteristics and poorer outcomes compared with those in the general population. Heart transplantation recipients with predisposing risk factors warrant heightened attention to help prevent this devastating condition.

The association between hypoglycemia and mortality in sepsis and septic shock: A systematic review and meta-analysis

Over 48 million cases of sepsis and 11 million sepsis-related deaths were reported in 2017, making it one of the leading causes of mortality. This meta-analysis compared mortality risk among patients with sepsis or septic shock and associated hypoglycemia or euglycemia on admission by searching for observational studies in PubMed, Embase and Scopus databases. The eligible studies included patients with sepsis and/or severe sepsis/septic shock and compared mortality rates between those with hypoglycemia on admission and those who were euglycemic. A stratified analysis based on sepsis or severe sepsis/septic shock and diabetes on admission included 14 studies. Patients with hypoglycemia had a significantly higher risk of in-hospital mortality and mortality during the 1st month after discharge. In addition, hypoglycemic patients with sepsis had a slightly increased risk of in-hospital mortality, but no increase in the mortality risk was observed within 1 month of follow-up. However, in patients with severe sepsis and/or septic shock, hypoglycemia was associated with a higher risk of both in-hospital mortality and mortality during 1 month of follow-up. In patients with diabetes, hypoglycemia was not associated with an increased risk of in-hospital mortality or mortality within 1 month of follow-up. Patients with sepsis or severe sepsis/septic shock and hypoglycemia had an increased mortality risk, and the association was stronger in cases of severe sepsis/septic shock. Hypoglycemia in diabetic patients did not correlate with increased mortality risk. Careful monitoring of blood glucose in sepsis and/or severe sepsis/septic shock patients is required.

Guide catheter extension use are associated with higher procedural success in chronic total occlusion percutaneous coronary interventions

BACKGROUND

Guide catheter extensions (GCEs) increase support and facilitate equipment delivery, but aggressive instrumentation may be associated with a higher risk of complications.

AIM

Our aim was to assess the impact of GCEs on procedural success and complications in patients submitted to chronic total occlusion (CTO) percutaneous coronary intervention (PCI).

METHODS

We analyzed data from the multicenter LATAM CTO Registry. Procedural success was defined as <30% residual stenosis and TIMI 3 distal flow. Major adverse cardiac and cerebrovascular events (MACCE) was defined as the composite of all-cause death, myocardial infarction, target vessel revascularization, and stroke. Propensity score matching (PSM) was used to compare outcomes with and without GCE use.

RESULTS

From August 2010 to August 2021, 3049 patients were included. GCEs were used in 438 patients (14.5%). In unadjusted analysis, patients in the GCE group were older and had more comorbidities. The median J-CTO score and its components were higher in the GCE group. After PSM, procedural success was higher with GCE use (87.7% vs. 80.5%, p = 0.007). The incidence of coronary perforation (odds ratio [OR]: 1.46, 95% confidence interval [CI]: 0.78-2.71, p = 0.230), bleeding (OR: 1.99, 95% CI: 0.41-2.41, p = 0.986), in-hospital death (OR: 1.39, 95% CI: 0.54-3.62, p = 0.495) and MACCE (OR: 1.07, 95% CI: 0.52-2.19, p = 0.850) were similar in both groups.

CONCLUSION

In a contemporary, multicenter cohort of patients undergoing CTO PCI, GCEs were used in older patients, with more comorbidities and complex anatomy. After PSM, GCE use was associated with higher procedural success, and similar incidence of adverse outcomes.

Admission to a Verified Pediatric Trauma Center is Associated With Improved Outcomes in Severely Injured Children

BACKGROUND

Previous studies have shown improved survival for severely injured adult patients treated at American College of Surgeons verified level I/II trauma centers compared to level III and undesignated centers. However, this relationship has not been well established in pediatric trauma centers (PTCs). We hypothesize that severely injured children will have lower mortality at verified level I/II PTCs compared to centers without PTC verification.

METHODS

All patients 1-15 years of age with ISS >15 in the 2017-2019 American College of Surgeons Trauma Quality Programs (ACS TQP) dataset were reviewed. Patients with pre-hospital cardiac arrest, burns, and those transferred out for ongoing inpatient care were excluded. Logistic regression models were used to assess the effects of pediatric trauma center verification on mortality.

RESULTS

16,301 patients were identified (64 % male, median ISS 21 [17-27]), and 60 % were admitted to verified PTCs. Overall mortality was 6.0 %. Mortality at centers with PTC verification was 5.1 % versus 7.3 % at centers without PTC verification (p < 0.001). After controlling for injury mechanism, sex, age, pediatric-adjusted shock index (SIPA), ISS, arrival via interhospital transfer, and adult trauma center verification, pediatric level I/II trauma center designation was independently associated with decreased mortality (OR 0.72, 95 % CI 0.61-0.85).

CONCLUSIONS

Treatment at ACS-verified pediatric trauma centers is associated with improved survival in critically injured children. These findings highlight the importance of PTC verification in optimizing outcomes for severely injured pediatric patients and should influence trauma center apportionment and prehospital triage.

LEVEL OF EVIDENCE

Level IV - Retrospective review of national database.

The Influence of Potential Organ Donors on Standardized Mortality Ratios and ICU Benchmarking

OBJECTIVES

The standardized mortality ratio (SMR) is a common metric to benchmark ICUs. However, SMR may be artificially distorted by the admission of potential organ donors (POD), who have nearly 100% mortality, although risk prediction models may not identify them as high-risk patients. We aimed to evaluate the impact of PODs on SMR.

DESIGN

Retrospective registry-based multicenter study.

SETTING

Twenty ICUs in Finland, Estonia, and Switzerland in 2015-2017.

PATIENTS

Sixty thousand forty-seven ICU patients.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

We used a previously validated mortality risk model to calculate the SMRs. We investigated the impact of PODs on the overall SMR, individual ICU SMR and ICU benchmarking. Of the 60,047 patients admitted to the ICUs, 514 (0.9%) were PODs, and 477 (93%) of them died. POD deaths accounted for 7% of the total 6738 in-hospital deaths. POD admission rates varied from 0.5 to 18.3 per 1000 admissions across ICUs. The risk prediction model predicted a 39% in-hospital mortality for PODs, but the observed mortality was 93%. The ratio of the SMR of the cohort without PODs to the SMR of the cohort with PODs was 0.96 (95% CI, 0.93-0.99). Benchmarking results changed in 70% of ICUs after excluding PODs.

CONCLUSIONS

Despite their relatively small overall number, PODs make up a large proportion of ICU patients who die. PODs cause bias in SMRs and in ICU benchmarking. We suggest excluding PODs when benchmarking ICUs with SMR.

Stress hyperglycemia ratio linked to worse prognosis in Cardiac Intensive Care Unit patients: A retrospective observational study

AIMS

This study aimed to delineate correlation between stress hyperglycemia ratio (SHR) and clinical outcomes among patients in the cardiac intensive care unit (CICU).

METHODS

Participants were categorized based on their SHR threshold values. Key outcomes were short-term mortality and major adverse cardiovascular events (MACEs) at 1-year follow-up. The association between SHR and outcomes was estimated using inverse probability of treatment weighting (IPTW) and Kaplan-Meier analyses. The C-statistic was used to gauge the predictive capability of SHR.

RESULTS

The study included 1,133 patients from the Medical Information Mart for Intensive Care IV and 412 from the Second Affiliated Hospital of Wenzhou Medical University. Kaplan-Meier curves revealed that individuals with elevated SHR exhibited higher 90-day mortality and MACEs. When considering SHR levels and diabetes status simultaneously, those with increased SHR but non-diabetes had the highest 90-day mortality and MACEs. SHR was associated with short-term mortality and MACEs (HRadjusted 1.63 95%CI 1.15-2.30; HRIPTW 1.47 95%CI 1.05-2.05). Upon integrating SHR into the foundational model, the C-statistic was 0.821, outperforming other hyperglycemia metrics.

CONCLUSION

SHR is a valuable indicator for predicting poor outcomes in CICU patients. Its utility spans potential risk stratification and offers insights for tailoring prognostic treatments to CICU patients.

Should the Vasoactive Inotropic Score be a Determinant for Early Initiation of VA ECMO in Postcardiotomy Cardiogenic Shock?

OBJECTIVES

The authors investigated the role of early venoarterial extracorporeal membrane oxygenation (VA ECMO) implantation in patients with postcardiotomy cardiogenic shock (PCS) on mortality and morbidity when integrating vasoactive-inotropic score (VIS) and type of catecholamine support.

DESIGN

A retrospective, multicenter, observational study with propensity-weight matching.

SETTING

Four university-affiliated intensive care units.

PARTICIPANTS

Patients with PCS in the operating room.

INTERVENTIONS

Early VA ECMO support.

MEASUREMENTS AND MAIN RESULTS

Of 2,742 patients screened during the study period, 424 (16%) patients were treated with inotropic drugs, and 75 (3%) patients were supported by VA ECMO in the operating room. Patients supported by VA ECMO had a higher use of vasopressor and inotropic drugs, with a higher VIS score. After propensity matching (integrating VIS and catecholamines type), mortality (56% v 20%, p < 0.001) and morbidity (cardiac, renal, transfusion) were higher in patients supported by VA ECMO than in a matched control group.

CONCLUSIONS

When matching integrated the pre-ECMO VIS and the type of catecholamines, VA ECMO remained associated with high mortality and morbidity, suggesting that VIS alone should not be used as a main determinant of VA ECMO implantation.

Door-to-diuretic time and mortality in patients with acute heart failure: A systematic review and meta-analysis

Early decongestion therapy with intravenous diuretics may be associated with improved outcomes in acute heart failure (AHF), however data is conflicting. This meta-analysis sought to evaluate the impact of door-to-IV diuretic (D2D) time on mortality in patients with AHF. Pooled estimates from observational studies comprising 28,124 patients, early IV diuresis (reference time 30-105 minutes) was associated with a 23% reduction in 30-day mortality in AHF (OR 0.77; 95% CI 0.64-0.93), despite no significant in-hospital death reduction (OR 0.84; 95% CI 0.57-1.24).

Clinical features and outcomes of patients with pancreatic cancer requiring unplanned medical ICU admission: A retrospective multicenter study

BACKGROUND

We sought to describe the reasons for intensive care unit (ICU) admission and outcomes of patients with pancreatic cancer requiring unplanned medical ICU admission.

PATIENTS AND METHODS

Retrospective cohort study in five ICUs from 2009 to 2020. All patients with pancreatic cancer admitted to the ICU were included. Patients having undergone recent surgery were excluded (< 4 weeks).

RESULTS

269 patients were included. Tumors were mainly adenocarcinoma (90%). Main reason for admission was sepsis/septic shock (32%) with a biliary tract infection in 44 (51%) patients. Second reason for admission was gastrointestinal bleeding (28%). ICU and 3-month mortality rates were 26% and 59% respectively. Performance status 3-4 (odds ratio OR 3.58), disease status (responsive/stable -ref-, newly diagnosed OR 3.25, progressive OR 5.99), mechanical ventilation (OR 8.03), vasopressors (OR 4.19), SAPS 2 (OR 1.69) and pH (OR 0.02) were independently associated with ICU mortality. Performance status 3-4 (Hazard ratio HR 1.96) and disease status (responsive/stable -ref-, newly diagnosed HR 2.67, progressive HR 4.14) were associated with 3-month mortality.

CONCLUSION

Reasons for ICU admissions of pancreatic cancer patients differ from those observed in other solid cancer. Short- and medium-term mortality are strongly influenced by performance status and disease status at ICU admission.

Center-Level Variation in Failure to Rescue After Pediatric Cardiac Surgery

BACKGROUND

Although failure to rescue (FTR) is increasingly recognized as a quality metric, studies in congenital cardiac surgery remain sparse. Within a national cohort of children undergoing cardiac operations, we characterized the presence of center-level variation in FTR and hypothesized a strong association with mortality but not complications.

METHODS

All children undergoing congenital cardiac operations were identified in the 2013 to 2019 Nationwide Readmissions Database. FTR was defined as in-hospital death after cardiac arrest, ventricular tachycardia/fibrillation, prolonged mechanical ventilation, pneumonia, stroke, venous thromboembolism, or sepsis, among other complications. Hierarchical models were used to generate hospital-specific, risk-adjusted rates of mortality, complications, and FTR. Centers in the highest decile of FTR were identified and compared with others.

RESULTS

Of an estimated 74,070 patients, 1.9% died before discharge, at least 1 perioperative complication developed in 43.0%, and 4.1% experienced FTR. After multilevel modeling, decreasing age, nonelective admission, and increasing operative complexity were associated with greater odds of FTR. Variations in overall mortality and FTR exhibited a strong, positive relationship (r = 0.97), whereas mortality and complications had a negligible association (r = -0.02). Compared with others, patients at centers with high rates of FTR had similar distributions of age, sex, chronic conditions, and operative complexity.

CONCLUSIONS

In the present study, center-level variations in mortality were more strongly explained by differences in FTR than complications. Our findings suggest the utility of FTR as a quality metric for congenital heart surgery, although further study is needed to develop a widely accepted definition and appropriate risk-adjustment models.

Pre-hospital mortality among pediatric trauma patients in Nova Scotia

OBJECTIVES

Limited data exist on pre-hospital pediatric trauma mortality in Canada. The Nova Scotia Trauma Registry is a provincial population-based registry that captures data from the Medical Examiner Service. This study examined the characteristics of pediatric trauma patient mortality in the pre-hospital and in-hospital settings.

METHODS

We conducted a cohort study of major pediatric traumas recorded in our provincial database from April 1, 2001 to March 31, 2018. Characteristics of pre-hospital and in-hospital deaths were compared with t tests and Chi-square analyses. Multivariate regression modeling was used to identify predictors of pre-hospital mortality. The geographic distribution of pre-hospital trauma was assessed using choropleth maps.

RESULTS

We identified 1,258 pediatric traumas, resulting in 217 deaths (137 pre-hospital, 80 in-hospital). Males accounted for 62.7% of fatalities. The 15-17 age group accounted for most deaths in both groups (pre-hospital 61.3%; in-hospital 41.3%). Injuries sustained in rural areas resulted in 74.7% of all deaths. For both groups, blunt trauma was the predominant injury type and motor vehicle collisions, the most prevalent injury mechanism. Patients who died pre-hospital had a higher mean age (13.3 vs. 10.7, p = 0.002) and a greater proportion were intentional injuries (23.4% vs. 15%; p = 0.02). Urban residency was more frequently observed in in-hospital deaths (57.5% vs. 36.5%, p < 0.001). Pre-hospital mortality was associated with increasing age (OR 1.1), higher injury severity score (OR 1.1), and intentional injury (OR 15.6).

CONCLUSION

Over 10% of major pediatric traumas resulted in pre-hospital death, primarily from motor vehicle collisions in rural areas. Compared to in-hospital mortality, patients who died pre-hospital were older with more severe injuries and more likely to have intentionally injured themselves. These results underscore the importance for emergency physicians and EMS systems to consider geographic factors and injury patterns, advocate for improved injury prevention programs, mental health supports, and delivery of on-scene critical care services.

Predictors of clinical outcomes in patients with sepsis: A retrospective study from a tertiary care hospital in Pakistan

OBJECTIVE

To assess associations between various clinic-demographic factors and clinical outcomes among patients treated for sepsis.

METHODS

The retrospective study was conducted at the Aga Khan University Hospital, Karachi, and comprised data of all patients aged >18 years diagnosed with sepsis from January to December 2019. Multivariable logistic regression was used to evaluate independent associations between predictors and outcomes. Data was analysed using R packages.

RESULTS

Of the 1,136 patients, 621(54.6%) were male and 515(45.3%) were female. The overall mean age was 59.05±16.91 years. Female gender (odds ratio: 1.029; 95% confidence interval: 1.03-1.64) was found to be an independent predictor of septic shock, while hypertension (odds ratio0.75; 95% confidence interval: 0.59-0.95) emerged as a protective factor. Chronic kidney disease (odds ratio: 1.539; 95% confidence interval: 1.14-2.07) was an independent predictor of prolonged length of stay, while older age appeared to be protective (odds ratio: 0.98; 95% confidence interval: 0.98-0.99). Mortality was associated with a significantly lower odds of Escherichia coli on culture (odds ratio: 0.26; 95% confidence interval: 0.12-0.54).

CONCLUSIONS

Independent associations were found between specific patient characteristics and adverse clinical outcomes.