Environmental inequalities and multimorbidity: Insights from the Southwest China Multi-Ethnic Cohort Study

Multimorbidity is an increasingly significant public health challenge worldwide. Although the association between environmental factors and the morbidity and mortality of individual chronic diseases is well-established, the relationship between environmental inequalities and multimorbidity, as well as the patterns of multimorbidity across different areas and ethnic groups, remains unclear. We first focus on analyzing the differences in environmental exposures and patterns of multimorbidity across diverse areas and ethnic groups. The results show that individuals of Han ethnicity residing in Chongqing and Sichuan are exposure to higher levels of air pollutants such as PM2.5, PM10, and NO2. Conversely, Tibetans in Tibet and Yi people in Yunnan face elevated concentrations of O3. Furthermore, the Dong, Miao, Buyi ethnicities in Guizhou and Bai in Yunnan have greater access to green spaces. The key multimorbidity patterns observed in Southwest China are related to metabolic abnormalities combined with digestive system diseases. However, significant differences in multimorbidity patterns exist among different regions and ethnic groups. Further utilizing the logistic regression model, the analysis demonstrates that increased exposure to environmental pollutants (PM2.5, PM10, NO2, O3) is significantly associated with higher odds ratios of multimorbidity. Conversely, a greater presence of green spaces (NDVI 250, NDVI 500, NDVI 1000) significantly reduces the risk of multimorbidity. This large-scale epidemiological study provides some evidence of a significant association between environmental inequalities and multimorbidity. By addressing these environmental inequalities and promoting healthy environments for all, we can work towards reducing the prevalence of multimorbidity and improving overall population health.

Optimal postoperative delirium prediction after coronary artery bypass grafting surgery: a prospective cohort study

Background

Postoperative delirium (POD) presents as a serious neuropsychiatric syndrome in patients undergoing off-pump coronary artery bypass grafting (OPCABG) surgery. This is correlated with higher mortality, cognitive decline, and increased costs. The Age-adjusted Charlson Comorbidity Index (ACCI) is recognized as an independent predictor for mortality and survival rate. The purpose of our study is to estimate the predictive value of the ACCI on the POD in patients undergoing OPCABG surgery.

Methods

This prospective cohort study enrolled patients undergoing OPCABG surgery between December 2020 and May 2021 in Qilu Hospital. Patients were divided into the low-ACCI group (score, 0-3) and the high-ACCI group (score ≥4) according to their ACCI scores. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and CAM were used to diagnose POD within 7 days after surgery. The general, laboratory, and clinical data of the patients were recorded and collected. The characteristic ROC curve was applied to further assess the predictive value of the ACCI for POD in patients following OPCABG surgery.

Results

A total of 89 patients were enrolled, including 45 patients in the low-ACCI group and 44 patients in the high-ACCI group. The incidence of POD was higher in the high-ACCI group than in the low-ACCI group (45.5% vs. 15.6%, P = 0.003). Multivariate logistic regression analyses showed that the ACCI (OR, 2.433; 95% CI, 1.468-4.032; P = 0.001) was an independent risk factor for POD. The ACCI accurately predicted POD in patients following OPCABG surgery with an AUC of 0.738, and the Hosmer-Lemeshow goodness of fit test yielded X2 = 5.391 (P = 0.145).

Conclusion

The high-ACCI group showed a high incidence of POD. The ACCI was an independent factor associated with POD in patients following OPCABG surgery. In addition, the ACCI could accurately predict POD in patients following OPCABG surgery.

Clinical Trial Registration

ClinicalTrials.gov, identifier CHiCTR2100052811.

Age‑adjusted Charlson comorbidity index and in‑hospital mortality in critically ill patients with cardiogenic shock: A retrospective cohort study

Evidence regarding the relationship between age-adjusted Charlson comorbidity index (ACCI) and in-hospital mortality is limited. Therefore, the present study investigated whether there was an independent association between ACCI and in-hospital mortality in critically ill patients with cardiogenic shock (CS) after adjusting for other covariates (age, sex, history of disease, scoring system, in-hospital management, vital signs at presentation, laboratory findings and vasopressors). ACCI, calculated retrospectively after hospitalization between 2008 and 2019, was derived from intensive care unit (ICU) admissions at the Beth Israel Deaconess Medical Center (Boston, MA, USA). Patients with CS were classified into two categories based on predefined ACCI scores (low, <8; high, ≥8). Based on baseline ACCI, the risk of in-hospital mortality in patients with CS was calculated using a multivariate Cox proportional risk model, and the threshold effect was calculated using a two-piece linear regression model. The in-hospital mortality rate was ~1.5 times greater in the ACCI high group compared with that in the ACCI low group [hazard ratio (HR)=1.45; 95% confidence interval (CI), 1.14-1.86]. Additional analysis showed that ACCI had a curvilinear association with in-hospital mortality risk in patients with CS, with a saturation effect predicted at 4.5. When ACCI was >4.5, the risk of in-hospital CS death increased significantly with increasing ACCI (HR=1.122; 95% CI, 1.054-1.194). Overall, ACCI was an independent predictor of in-hospital mortality in ICU patients with CS. A non-linear relationship was revealed between ACCI and in-hospital mortality, where in-hospital mortality increased significantly when ACCI was >4.5.

A Higher Postoperative Barthel Index at Discharge is Associated with a Lower One-Year Mortality After Hip Fracture Surgery for Geriatric Patients: A Retrospective Case‒Control Study

Purpose

To evaluate the relationship between the postoperative Barthel index assessing activities of daily living at discharge and the one-year mortality after hip fracture surgery.

Methods

Patients with hip fracture admitted to Peking University First Hospital from January 2015 to January 2020 were enrolled retrospectively according to the inclusion and exclusion criteria. The Barthel index and other related confounding variables were collected. Logistic regression and Kaplan‒Meier survival curves were constructed to explore the relationship between the postoperative Barthel index at discharge and the one-year mortality of geriatric patients after hip fracture surgery.

Results

A total of 444 patients with a mean age of 81.61±6.14 years were included. A significant difference was not observed in the preoperative Barthel index at admission between the deceased group and the surviving group (38.90±15.83 vs 36.96±10.74, p=0.446). However, the difference in the postoperative Barthel index at discharge between these two groups was statistically significant (43.08±14.40 vs 53.18±13.43, P<0.001). The multivariable logistic regression analysis revealed that the postoperative Barthel index at discharge was an independent risk factor for one-year mortality after adjustment for confounding variables (adjusted OR 0.73, 95% CI 0.55-0.98, p˂0.05). The Kaplan‒Meier survival curve showed that patients who had a high Barthel index (≥50) at discharge had a significantly lower mortality in the long term than patients with a low Barthel index (<50) at discharge (P< 0.001).

Conclusion

The postoperative Barthel index at discharge was independently associated with the one-year mortality of geriatric patients after hip fracture surgery. A higher postoperative Barthel index at discharge indicated a lower mortality after hip fracture surgery. The Barthel index at discharge has the potential to provide essential prognostic information for early risk stratification and directing future care.

Did ethno-racial disparities in access to transcatheter aortic valve replacement change over time?

Objective

In this study we sought to evaluate whether disparate use of transcatheter aortic valve replacement (TAVR) among non-White patients has decreased over time, and if unequal access to TAVR is driven by unequal access to high-volume hospitals.

Methods

From 2013 to 2017, we used the State Inpatient Database across 8 states (Ariz, Colo, Fla, Md, NC, NM, Nev, Wash) to identify 51,232 Medicare beneficiaries who underwent TAVR versus surgical aortic valve replacement. Hospitals were categorized as low- (<50 per year), medium- (50-100 per year), or high-volume (>100 per year) according to total valve procedures (TAVR + surgical aortic valve replacement). Multivariable logistic regression models with interactions were performed to determine the effect of race, time, and hospital volume on the utilization of TAVR.

Results

Non-White patients were less likely to receive TAVR than White patients (odds ratio [OR], 0.77; 95% CI, 0.71-0.83). However, utilization of TAVR increased over time (OR, 1.73; 95% CI, 1.73-1.80) for the total population, with non-White patients' TAVR use growing faster than for White patients (OR, 1.06; 95% CI, 1.00-1.12), time × race interaction, P = .034. Further, an adjusted volume-stratified time trend analysis showed that utilization of TAVR at high volume hospitals increased faster for non-White patients versus White patients by 8.6% per year (OR, 1.09; 95% CI, 1.01-1.16) whereas use at low- and medium-volume hospitals did not contribute to any decreasing utilization gap.

Conclusions

This analysis shows initial low rates of TAVR utilization among non-White patients followed by accelerated use over time, relative to White patients. This narrowing gap was driven by increased TAVR utilization by non-White patients at high-volume hospitals.

Predictive performance of comorbidity for 30-day and 1-year mortality in patients with bloodstream infection visiting the emergency department: a retrospective cohort study

OBJECTIVES

To investigate whether the Charlson Comorbidity Index (CCI) predicted short-term and long-term mortality in patients with a bloodstream infection visiting the emergency department (ED) and compare it to the often-validated National Early Warning Score (NEWS).

DESIGN

A retrospective cohort study.

SETTING

A tertiary hospital in the Netherlands.

PARTICIPANTS

Adult patients attending the ED with a blood culture-proven infection between 2012 and 2017 were included. We collected the comorbidities from the CCI and the vital signs from the NEWS.

MAIN OUTCOMES

Short-term mortality (30-day) and long-term mortality (1 year). We assessed the predictive performance by discrimination, expressed as the area under the curve (AUC).

RESULTS

We included 1039 patients with a blood culture-proven infection. Mortality was 10.4% within 30 days and 27.8% within 1 year. On average patients had two comorbidities (ranging from 0 to 6). Highly prevalent comorbidities were malignancy (30.2%) and diabetes mellitus (20.5%). The predictive performance of the CCI was highest for 1-year mortality (AUC 0.696 (95%CI) (0.660 to 0.732)) and better compared with the NEWS (AUC (95% CI) 0.594 (0.555 to 0.632)). For prediction of 30-day mortality, the NEWS was superior (AUC (95% CI) 0.706 (0.656 to 0.756)) to the comorbidities of the CCI (AUC (95% CI) 0.568 (0.507 to 0.628)).

CONCLUSIONS

We found that presenting comorbidity (ie, the CCI) is most useful to prognosticate long-term outcome in patients with bloodstream infection in the ED. Short-term mortality is more accurately predicted by deviating vital signs (ie, the NEWS).

Predictive Value of Body Mass Index in Minimally Invasive Mitral Valve Surgery

BACKGROUND

 With this study we aimed to analyze if the separate consideration of body mass index (BMI) could provide any superior predictive values compared with the established risk scores in isolated minimally invasive mitral valve surgery (MIMVS). This might facilitate future therapeutic decision-making, e.g., regarding the question surgery versus transcatheter mitral valve repair (TMVr).

METHODS

 We assessed the relevance of BMI in non-underweight patients who underwent isolated MIMVS. The risk predictive potential of BMI for mortality and several postoperative adverse events was assessed in 429 consecutive patients. This predictive potential was compared with that of European System for Cardiac Outcome Risk Evaluation II (EuroSCORE II) and the Society of Thoracic Surgeons score (STS score) using a comparative receiver operating characteristic curve analysis.

RESULTS

 BMI was a significant numeric predictor of wound healing disorders (p = 0.001) and proved to be significantly superior in case of this postoperative adverse event compared with the EuroSCORE II (p = 0.040) and STS score (p = 0.015). Except for this, the predictive potential of BMI was significantly inferior compared with that of the EuroSCORE II and STS score for several end points, including 30-day (p = 0.029 and p = 0.006) and 1-year (p = 0.012 and p = 0.001) mortality.

CONCLUSION

 Therefore, we suggest that, in the course of decision-making regarding the right treatment modality for non-underweight patients with isolated mitral valve regurgitation, the sole factor of BMI should not be given a predominant weight.