Predicting mortality from change-over-time in the Charlson Comorbidity Index: A retrospective cohort study in a data-intensive UK health system

Predictive ability of both the healthy aging index and the frailty index for all-cause mortality

AIM

We aimed to develop and assess a modified healthy aging index (HAI) among Chileans aged 60 years and older and compare its predictive ability for all-cause mortality risk with the frailty index (FI).

METHODS

This prospective study analyzed data from the Chilean National Health Survey (CNHS) conducted in 2009-2010. We included 847 adults with complete data to construct the HAI and FI. The HAI comprised five indicators (lung function, systolic blood pressure, fasting glucose, cognitive status, and glomerular filtration rate), while the FI assessed frailty using a 36-item scale. HAI scores were calculated by summing the indicator scores, ranging from 0 to 10, with higher scores indicating poorer health. Receiver operating curves (ROC) and area under the curve (AUC) were used to assess predictive validity. Associations with all-cause mortality were assessed using Cox proportional hazard models adjusted by confounders.

RESULTS

The mean HAI score was 4.06, while the FI score was 0.24. The AUC for mortality was higher for the HAI than the FI (0.640, 95% confidence interval (CI) 0.601 to 0.679 vs. 0.586, 95% CI 0.545 to 0.627). After adjusting for confounders, the FI showed a higher mortality risk compared to the HAI (2.63, 95% CI 1.76 to 3.51 vs. 1.16, 95% CI 1.08 to 1.26).

CONCLUSION

The FI and HAI were valid predictors for all-cause mortality in the Chilean population. Integrating these indices into research and clinical practice can significantly enhance our capacity to identify at-risk individuals.

10-Year Multimorbidity Trajectories in Older People Have Limited Benefit in Predicting Short-Term Health Outcomes in Comparison to Standard Multimorbidity Thresholds: A Population-Based Study

Purpose

To identify multimorbidity trajectories among older adults and to compare their health outcome predictive performance with that of cross-sectional multimorbidity thresholds (eg, ≥2 chronic conditions (CCs)).

Patients and Methods

We performed a population-based longitudinal study with a random sample of 99,411 individuals aged >65 years on April 1, 2019. Using health administrative data, we calculated for each individual the yearly CCs number from 2010 to 2019 and constructed the trajectories with latent class growth analysis. We used logistic regression to determine the increase in predictive capacity (c-statistic) of multimorbidity trajectories and traditional cross-sectional indicators (≥2, ≥3, or ≥4 CCs, assessed in April 2019) over that of a baseline model (including age, sex, and deprivation). We predicted 1-year mortality, hospitalization, polypharmacy, and frequent general practitioner, specialist, or emergency department visits.

Results

We identified eight multimorbidity trajectories, each representing between 3% and 25% of the population. These trajectories exhibited trends of increasing, stable, or decreasing number of CCs. When predicting mortality, the 95% CI for the increase in the c-statistic for multimorbidity trajectories [0.032-0.044] overlapped with that of the ≥3 indicator [0.037-0.050]. Similar results were observed when predicting other health outcomes and with other cross-sectional indicators.

Conclusion

Multimorbidity trajectories displayed comparable health outcome predictive capacity to those of traditional cross-sectional multimorbidity indicators. Given its ease of calculation, continued use of traditional multimorbidity thresholds remains relevant for population-based multimorbidity surveillance and clinical practice.

Open versus arthroscopic treatment of the rheumatoid elbow arthritis: a comparison of complications at two years utilizing a nationally representative database

PURPOSE

Symptomatic rheumatoid arthritis (RA) can be addressed surgically with open procedures or elbow arthroscopy. Previous studies comparing outcomes of open to arthroscopic arthrolysis for the management of RA did not utilize a large database study. The aim was to compare demographics and two-year complications, in RA patients undergoing open or arthroscopic elbow arthrolysis.

METHODS

A retrospective, cohort study was performed utilizing a private, nationwide, all-payer database. We queried the database to identify patients undergoing open (n = 578) or arthroscopic (n = 379) arthrolysis for elbow RA. The primary goal of the study was to compare complications at two-years. Categorical variables were assessed utilizing the chi-squared test; while, continuous variables were analyzed using the Student's t-test. Multivariable logistic regression was performed to assess risk factors for infection following open or arthroscopic arthrolysis.

RESULTS

RA patients undergoing open elbow arthrolysis were older (55 vs. 49 years, p < 0.001), predominately female (61.6% vs 60.9%, p = 0.895), and likely to have chronic kidney disease (20.4 vs. 12.9%), and DM (45.2 vs. 32.2%) (both p < 0.005). Open elbow arthrolysis was also associated with higher rates of infection (31.7 vs. 4.7%) and wound complications (26.8 vs. 3.4%) (both p = 0.001). Nerve injury rates were found to be similar (8.3 vs. 9.0%, p = 0.81). On multivariable logistic regression, open elbow procedures were associated with the highest risk for infection (OR: 8.43).

CONCLUSIONS

Patients undergoing open arthrolysis for RA were at a higher risk of infection and wound complications compared to arthroscopic arthrolysis utilizing a nationally representative database. While there appears to be a difference in outcomes following these two procedures, higher level evidence is needed to draw more definitive conclusions.

LEVEL OF EVIDENCE

Retrospective, Level III.

Higher risk of traumatic intracranial hemorrhage with antiplatelet therapy compared to oral anticoagulation-a single-center experience

PURPOSE

Traumatic brain injury is the main reason for the emergency department visit of up to 3% of the patients and a major worldwide cause for morbidity and mortality. Current emergency management guidelines recommend close attention to patients taking oral anticoagulation but not patients on antiplatelet therapy. Recent studies have begun to challenge this. The aim of this study was to determine the impact of antiplatelet therapy and oral anticoagulation on traumatic intracranial hemorrhage.

METHODS

Medical records of adult patients triaged with "head injury" as the main reason for emergency care were retrospectively reviewed from January 1, 2017, to December 31, 2017, and January 1, 2020, to December 31, 2021. Patients ≥ 18 years with head trauma were included. Odds ratio was calculated, and multiple logistic regression was performed.

RESULTS

A total of 4850 patients with a median age of 70 years were included. Traumatic intracranial hemorrhage was found in 6.2% of the patients. The risk ratio for traumatic intracranial hemorrhage in patients on antiplatelet therapy was 2.25 (p < 0.001, 95% confidence interval 1.73-2.94) and 1.38 (p = 0.002, 95% confidence interval 1.05-1.84) in patients on oral anticoagulation compared to patients without mediations that affect coagulation. In binary multiple regression, antiplatelet therapy was associated with intracranial hemorrhage, but oral anticoagulation was not.

CONCLUSION

This study shows that antiplatelet therapy is associated with a higher risk of traumatic intracranial hemorrhage compared to oral anticoagulation. Antiplatelet therapy should be given equal or greater consideration in the guidelines compared to anticoagulation therapy. Further studies on antiplatelet subtypes within the context of head trauma are recommended to improve the guidelines' diagnostic accuracy.

Adverse Events After Isolated Posterior Cruciate Ligament Reconstruction: A National Database Study

Background

Optimal management after posterior cruciate ligament (PCL) injury remains an active area of research, as reconstruction is technically challenging and poses unique risks in the posterior knee. Studies have reported variable rates of complications.

Purpose

To describe the rates of readmission, emergency department (ED) visits, and postoperative complications within 90 days of isolated PCL reconstruction (PCLR) in a large, national cohort to better understand the perioperative variables that influence a practitioner's decision of whether to pursue operative versus nonoperative management.

Study Design

Descriptive epidemiology study.

Methods

PCLRs from January 1, 2010, through August 31, 2020, were identified in PearlDiver, a national administrative database. Patients with concomitant ligament surgery and those with fewer than 90 days of postoperative database activity were excluded. Deep vein thromboses, pulmonary embolisms, surgical site infections, compartment syndrome, and vascular events within 90 days of surgery were identified, as were 90-day readmissions and ED visits. Logistic regression models were built in PearlDiver to calculate odds ratios (ORs) for ED utilization.

Results

The final cohort consisted of 1154 patients with isolated PCLR (mean age, 34 ± 16 years; 62% male). Most patients were located in the Southern United States (n = 417; 36.1%), and most had commercial insurance (n = 992; 86%). The 90-day rates of adverse events were as follows: deep vein thrombosis (13; 1.1%), pulmonary embolism (19; 1.6%), surgical site infection (<11; <1%), compartment syndrome (<11; <1%), vascular event (<11; <1%), readmission (13, 1.1%), and ED utilization (99; 8.6%). The majority of emergency department visits (52%) occurred in the first 2 weeks postoperatively. Predictive factors for ED utilization included Elixhauser Comorbidity Index score (OR = 1.31 per 2-point increase) and Medicaid insurance (OR = 2.03 relative to commercial insurance).

Conclusion

The current study reported rates of adverse events after isolated PCLR in a large, national cohort. The results provide important context for decisions about optimal management of PCL injury.

Complication Rates and Survival of Nonagenarians after Hip Hemiarthroplasty versus Proximal Femoral Nail Antirotation for Intertrochanteric Fractures: A 15-Year Retrospective Cohort Study of 113 Cases

OBJECTIVE

Intertrochanteric fracture is a very common but serious type of hip fracture in nonagenarians. The surgical treatment remains a significant challenge for orthopedists. The objective of this study was to investigate postoperative complications and survival outcomes compared between bipolar hemiarthroplasty (HA) and proximal femoral nail anti-rotation (PFNA) in nonagenarians with intertrochanteric fractures, and to evaluate the efficacy and safety of the two surgical procedures in this patient population.

METHODS

A total of 113 consecutive nonagenarians who underwent bipolar HA or PFNA for the treatment of intertrochanteric fractures from January 2006 to August 2021 were retrospectively studied in the current paper. There were 34 males and 79 females, with a mean age of 92.2 years (range 90-101 years) at the time of operation. The average duration of follow-up was 29.7 months (range 1-120 months). The full cohort was divided into bipolar HA (77 cases) and PFNA (36 cases) groups. Damage control orthopedics was used to determine the optimal surgery time and assist in perioperative management. A restrictive blood transfusion strategy was employed, along with appropriate adjustments under multidisciplinary assessment, throughout the perioperative period. Perioperative clinical information and prognostic data were analyzed. Kaplan-Meier survival curves were used for survival analysis, and landmark analysis divided the entire follow-up period into 1-12 months (short-term), 13-42 months (medium-term) and 43-120 months (long-term) according to the configurations of Kaplan-Meier survival curves.

RESULTS

Both groups had similar general variables except for the proportion of high adjusted Charlson comorbidity index (aCCI) (≥6 points) (6.5% in bipolar HA group and 22.2% in PFNA group, p = 0.024). Intraoperative blood loss and transfusion requirements were greater, and the intraoperative transfusion rates were higher in the bipolar HA group compared to the PFNA group (all p < 0.05). The complications rates, 1- to 60-month cumulative all-cause mortality, postoperative optimal Harris hip score (HHS), and Barthel index (BI) presented no significant difference between the two groups (all p > 0.05). Both groups had similar overall survival curves (p = 0.37). However, landmark analysis revealed that bipolar HA group exhibited higher survival rates in medium-term (p = 0.01), while similar survival rates were observed in the short- and long-term post-operation periods (both p > 0.05). Cox regression with survival-time-dependent covariate calculated the hazard ratio (HR) of bipolar HA was 0.41 in medium-term (p = 0.039).

CONCLUSION

Bipolar HA is equally effective and reliable as PFNA for treating intertrochanteric fractures in nonagenarians. Despite resulting in more intraoperative blood loss and transfusions, bipolar HA therapy is associated with a higher medium-term survival rate compared to PFNA treatment. The application of damage control orthopedics and precise perioperative patient blood management could contribute to the positive clinical outcomes observed in this patient population.

Risk factors for early mortality in elderly patients with unstable isolated C2 odontoid fracture treated with halo-vest or surgery

The aim of this study was to compare in-hospital mortality of three procedures -halo-vest immobilization, anterior spinal fixation (ASF), and posterior spinal fixation (PSF)- in the treatment of elderly patients with isolated C2 odontoid fracture. We extracted data for elderly patients who were admitted with C2 odontoid fracture and treated with at least one of the three procedures (halo-vest immobilization, ASF, or PSF) during hospitalization. We conducted a generalized propensity score-based matching weight analysis to compare in-hospital mortality among the three procedures. We further investigated independent risk factors for in-hospital death. The study involved 891 patients (halo-vest, n = 463; ASF, n = 74; and PSF, n = 354) with a mean age of 78 years. In-hospital death occurred in 45 (5.1%) patients. Treatment type was not significantly associated with in-hospital mortality. Male sex (odds ratio 2.98; 95% confidence interval 1.32-6.73; p = 0.009) and a Charlson comorbidity index of ≥ 3 (odds ratio 9.18; 95% confidence interval 3.25-25.92; p < 0.001) were independent risk factors for in-hospital mortality. In conclusion, treatment type was not significantly associated with in-hospital mortality in elderly patients with isolated C2 odontoid fracture. Halo-vest immobilization can help to avoid adverse events in patients with C2 odontoid fracture who are considered less suitable for surgical treatment.

Factors affecting do-not-attempt-resuscitation (DNAR) decisions among adult patients in the emergency department of a general tertiary teaching hospital in China: a retrospective observational study

OBJECTIVE

Do-not-attempt-resuscitation (DNAR) orders are designed to allow patients to opt out of receiving cardiopulmonary resuscitation in the event of a cardiac arrest. While DNAR has become a standard component of medical care, there is limited research available specifically focusing on DNAR orders in the context of emergency departments in China. This study aimed to fill that gap by examining the factors related to DNAR orders among patients in the emergency department of a general tertiary teaching hospital in China.

DESIGN

Retrospective observational study.

SETTING

Emergency department.

PARTICIPANTS

This study and analysis on adult patients with DNAR or no DNAR data between 1 January 2022 and 1 January 2023 in the emergency department of a large academic comprehensive tertiary teaching hospital. A total of 689 were included in our study.

PRIMARY OUTCOME MEASURES

Whether the patient received DNAR was our dependent variable.

RESULTS

Among the total patients, 365 individuals (53.0%) had DNAR orders. The following variables, including age, sex, age-adjusted Charlson comorbidity index (ACCI), primary diagnosis of cardiogenic or cancer related, history of neurological dysfunction or cancer, were independently associated with the difference between the DNAR group and the no DNAR group. Furthermore, there were significant statistical differences observed in the choice of DNAR among patients with different stages of cancer.

CONCLUSIONS

In comparison to the no DNAR group, patients with DNAR were characterised by being older, having a higher proportion of female patients, higher ACCI scores, a lower number of patients with a primary diagnosis of cardiogenic and a higher number of patients with a primary diagnosis of cancer related, history of neurological dysfunction or cancer.

Delayed intracranial hemorrhage after head trauma seems rare and rarely needs intervention-even in antiplatelet or anticoagulation therapy

BACKGROUND

Traumatic brain injury causes morbidity, mortality, and at least 2,500,000 yearly emergency department visits in the USA. Computerized tomography of the head is the gold standard to detect traumatic intracranial hemorrhage. Some are not diagnosed at the first scan, and they are denoted "delayed intracranial hemorrhages. " To detect these delayed hemorrhages, current guidelines for head trauma recommend observation and/or rescanning for patients on anticoagulation therapy but not for patients on antiplatelet therapy. The aim of this study was to investigate the prevalence and need for interventions of delayed intracranial hemorrhage after head trauma.

METHODS

The study was a retrospective review of medical records of adult patients with isolated head trauma presenting at Helsingborg General Hospital between January 1, 2020, and December 31, 2020. Univariate statistical analyses were performed.

RESULTS

In total, 1627 patients were included and four (0.25%, 95% confidence interval 0.06-0.60%) patients had delayed intracranial hemorrhage. One of these patients was diagnosed within 24 h and three within 2-30 days. The patient was diagnosed within 24 h, and one of the patients diagnosed within 2-30 days was on antiplatelet therapy. None of these four patients was prescribed anticoagulation therapy, and no intensive care, no neurosurgical operations, or deaths were recorded.

CONCLUSION

Traumatic delayed intracranial hemorrhage is rare and consequences mild and antiplatelet and anticoagulation therapy might confer similar risk. Because serious complications appear rare, observing, and/or rescanning all patients with either of these medications can be debated. Risk stratification of these patients might have the potential to identify the patients at risk while safely reducing observation times and rescanning.

A comparison of palliative care and rapid emergency screening (P-CaRES) tool, broad and narrow criteria, and surprise questions to predict survival of older emergency department patients

BACKGROUND

Palliative care is a form of medical care designed to enhance the quality of life of patients with life-threatening conditions. This study was conducted to compare the accuracy of predicted survival the 1 and 3-month survival rate of Broad and narrow criteria, Surprise questions (SQ), and Palliative Care and Rapid Emergency Screening (P-CaRES) after admission to the emergency department (ED).

METHODS

This prospective cohort study was conducted at an urban teaching hospital in Thailand. Patients aged ≥ 65 years admitted to the ED were classified according to their emergency severity index (ESI) (Level: 1-3). We collected data on SQ, P-CaRES, and broad and narrow criteria. A survival data of participants were collected at 1 and 3 months after admission to the ED. The survival rate was calculated using the Kaplan-Meier and log-rank tests.

RESULTS

A total of 269 patients completed the study. P-CaRES positive and P-CaRES negative patients had 1-month survival rates of 81% and 94.8%, respectively (P = 0.37), and at 3-month survival rates of 70.7% and 90.1%, respectively (P < 0.001). SQ (not surprised) had a 1-month survival rate of 79.3%, while SQ (surprised) had a 97% survival rate (P = 0.01), and SQ (not surprised) had a 75.4% survival rate at 3-months, while SQ (surprised) had a 96.3% survival rate (P = 0.01). Broad and narrow criteria that were positive and negative had 1-month survival rates of 88.1% and 92.5%, respectively (P = 0.71), while those that were positive and negative had 3-month survival rates of 78.6% and 87.2%, respectively (P = 0.19). The hazard ratio (HR) of SQ (not surprised) at 1 month was 3.22( 95%CI:1.16-8.89). The HR at 3 months of P-CaRES (positive) was 3.31 with a 95% confidence interval (CI): 1.74 - 6.27, while the HR for SQ (not surprise) was 7.33, 95% CI: 3.03-19.79; however, broad and narrow criteria had an HR of 1.78, 95% CI:0.84-3.77.

CONCLUSIONS

Among older adults who visited the ED, the SQ were good prognosis tools for predicting 1 and 3-month survival, and P-CaRES were good prognostic tools for predicting 3-month survival.

Improving the evaluation of an integrated healthcare system using entropy balancing: Population health improvements in Gesundes Kinzigtal

Background

Evidence of integrated healthcare networks' effect on population health is scarce. Moreover, current designs for evaluating such networks have shortcomings that can result in misleading conclusions. Our paper evaluates Gesundes Kinzigtal, a best-practice integrated healthcare network, using an innovative design that enlightens the discussion about health gains produced by integrated healthcare.

Research question

What is the effect of Gesundes Kinzigtal on population health?

Methods

We evaluated the effect of the integrated healthcare initiative by performing a quasi-experimental evaluation based on entropy balancing. Integrated network participants were compared to a control group and followed for five years. Claims data from 2004 to 2018 was used. Population health outcomes correspond to survival (Cox hazard ratio, Kaplan-Meier curve), mortality ratio, mean age at the time of death, and years of life lost or gained. Design validity was evaluated by assessing group balance at baseline. Finally, we compared our results to those obtained using a previously published design for evaluating integrated networks.

Results

The treatment group was composed of 9083 network participants, compared to an equivalent control group, showing, respectively, a mortality ratio of 5.4% vs 7.5% (p < 0.05), mean age at the time of death of 80.1 vs 80.3 (p > 0.05) and a gain of 0.2 years of life per person for the treatment group (p > 0.05). The Cox hazard ratio (0.72; p < 0.05) and mean survival time (1784 vs 1768 days; p < 0.05) showed better survival for treated participants. Results using the previously published design were more favorable for the treatment group; however, the design excluded participants significantly associated with greater healthcare needs.

Discussion

The integrated network had a favorable effect on participants' mortality and survival risk. Previous evaluations based on propensity score matching might overestimate the network's impact on population health by excluding participants with greater healthcare needs.

Experience of living with multimorbidity and health workers perspectives on the organization of health services for people living with multiple chronic conditions in Bahir Dar, northwest Ethiopia: a qualitative study

BACKGROUND

Multimorbidity-the simultaneous occurrence of two or more chronic Non-Communicable Diseases) in an individual is increasing globally and challenging health systems. Although individuals living with multimorbidity face a range of adverse consequences and difficulty in getting optimal health care, the evidence base in understanding the burden and capacity of the health system in managing multimorbidity is sparse in low-and middle-income countries (LMICs). This study aimed at understanding the lived experiences of patients with multimorbidity and perspective of service providers on multimorbidity and its care provision, and perceived capacity of the health system for managing multimorbidity in Bahir Dar City, northwest Ethiopia.

METHODS

A facility-based phenomenological study design was conducted in three public and three private health facilities rendering chronic outpatient Non-Communicable Diseases (NCDs) care in Bahir Dar City, Ethiopia. Nineteen patient participants with two or more chronic NCDs and nine health care providers (six medical doctors and three nurses) were purposively selected and interviewed using semi-structured in-depth interview guides. Data were collected by trained researchers. Interviews were audio-recorded using digital recorders, stored and transferred to computers, transcribed verbatim by the data collectors, translated into English and then imported into NVivo V.12 software for data analysis. We employed a six-step inductive thematic framework analysis approach to construct meaning and interpret experiences and perceptions of individual patients and service providers. Codes were identified and categorized into sub-themes, organizing themes and main themes iteratively to identify similarities and differences across themes, and to interpret them accordingly.

RESULTS

A total of 19 patient participants (5 Females) and nine health workers (2 females) responded to the interviews. Participants' age ranged from 39 to 79 years for patients and 30 to 50 years for health professionals. About half (n = 9) of the participants had three or more chronic conditions. The key themes produced were feeling dependency, social rejection, psychological distress, poor medication adherence and poor quality of care. Living with multimorbidity poses a huge burden on the physical, psychological, social and sexual health of patients. In addition, patients with multimorbidity are facing financial hardship to access optimal multimorbidity care. On the other hand, the health system is not appropriately prepared to provide integrated, person-centered and coordinated care for people living with multiple chronic conditions.

CONCLUSION AND RECOMMENDATIONS

Living with multimorbidity poses huge impact on physical, psychological, social and sexual health of patients. Patients seeking multimorbidity care are facing challenges to access care attributable to either financial constraints or the lack of integrated, respectful and compassionate health care. It is recommended that the health system must understand and respond to the complex care needs of the patients with multimorbidity.

Adapted Diabetes Complications Severity Index and Charlson Comorbidity Index in predicting all-cause and cause-specific mortality among patients with type 2 diabetes

INTRODUCTION

Adapted Diabetes Complications Severity Index (aDCSI) is a commonly used severity measure based on the number and severity of diabetes complications using diagnosis codes. The validity of aDCSI in predicting cause-specific mortality has yet to be verified. Additionally, the performance of aDCSI in predicting patient outcomes compared with Charlson Comorbidity Index (CCI) remains unknown.

RESEARCH DESIGN AND METHODS

Patients aged 20 years or older with type 2 diabetes prior to January 1, 2008 were identified from the Taiwan National Health Insurance claims data and were followed up until December 15, 2018. Complications for aDCSI including cardiovascular, cerebrovascular and peripheral vascular disease, metabolic disease, nephropathy, retinopathy and neuropathy, along with comorbidities for CCI, were collected. HRs of death were estimated using Cox regression. Model performance was evaluated by concordance index and Akaike information criterion.

RESULTS

1,002,589 patients with type 2 diabetes were enrolled, with a median follow-up of 11.0 years. After adjusting for age and sex, aDCSI (HR 1.21, 95% CI 1.20 to 1.21) and CCI (HR 1.18, 1.17 to 1.18) were associated with all-cause mortality. The HRs of aDCSI for cancer, cardiovascular disease (CVD) and diabetes mortality were 1.04 (1.04 to 1.05), 1.27 (1.27 to 1.28) and 1.28 (1.28 to 1.29), respectively, and the HRs of CCI were 1.10 (1.09 to 1.10), 1.16 (1.16 to 1.17) and 1.17 (1.16 to 1.17), respectively. The model with aDCSI had a better fit for all-cause, CVD and diabetes mortality with C-index of 0.760, 0.794 and 0.781, respectively. Models incorporating both scores had even better performance, but the HR of aDCSI for cancer (0.98, 0.97 to 0.98) and the HRs of CCI for CVD (1.03, 1.02 to 1.03) and diabetes mortality (1.02, 1.02 to 1.03) became neutral. When aDCSI and CCI were considered time-varying scores, the association with mortality was stronger. aDCSI had a strong correlation with mortality even after 8 years (HR 1.18, 1.17 to 1.18).

CONCLUSIONS

The aDCSI predicts all-cause, CVD and diabetes deaths but not cancer deaths better than the CCI. aDCSI is also a good predictor for long-term mortality.

Healthcare Resource Consumption and Related Costs in Patients on Antiretroviral Therapies: Findings from Real-World Data in Italy

This real-world analysis conducted on administrative databases of a sample of Italian healthcare entities was aimed at describing the role of therapeutic pathways and drug utilization in terms of adherence, persistence, and therapy discontinuation in HIV-infected patients under antiretroviral therapies (ART) and Tenofovir Alafenamide (TAF)-based regimens on healthcare resource consumption and related direct healthcare costs. Between 2015 and 2019, adults (≥18 years) prescribed with TAF-based therapies were identified and characterized in the year prior to the first prescription (index-date) for TAF-based therapies and followed-up until the end of data availability. Overall, 2658 ART-treated patients were included, 1198 of which were under a TAF-based regimen. TAF-based therapies were associated with elevated percentages of adherence (83.3% patients with proportion of days covered, PDC > 95% and 90.6% with PDC > 85%) and persistence (78.5%). The discontinuation rate was low in TAF-treated patients, ranging from 3.3% in TAF-switchers to 5% in naïve. Persistent patients had lower overall mean annual healthcare expenditures (EUR 11,106 in persistent vs. EUR 12,380 in non-persistent, p = 0.005), and this trend was statistically significant also for costs related to HIV hospitalizations. These findings suggest that a better therapeutic management of HIV infection might result in positive clinical and economic outcomes.

Effects of Home-Based Exercise Training on Cardiac Autonomic Neuropathy and Metabolic Profile in Diabetic Hemodialysis Patients

Background: This study aimed to investigate the effects of a home-based exercise training program on Cardiac Autonomic Neuropathy (CAN) and metabolic profile in Diabetic Kidney Disease (DKD) patients undergoing maintenance hemodialysis (HD). Method: Twenty-eight DKD patients undergoing hemodialysis were randomly assigned into two groups. The exercise (EX) group followed a 6-month combined exercise training program at home, while the control (CO) group remained untrained. All participants at baseline and the end of the study underwent cardiopulmonary exercise testing (CPET), biochemical tests for glucose and lipid profile, and 24-h electrocardiographic monitoring for heart rate variability (HRV) analysis and heart rate turbulence (HRT). Results: At the end of the study, compared to the CO, the EX group showed a significant increase in serum high-density lipoprotein (HDL) by 27.7% (p = 0.01), peak oxygen uptake (VO2peak) by 9.3% (p < 0.05), the standard deviation of R-R intervals (SDNN) by 34.3% (p = 0.03), percentage of successive RR intervals higher than 50ms (pNN50) by 51.1% (p = 0.02), turbulence slope (TS) index by 18.4% (p = 0.01), and decrease in (glycated hemoglobin) HbA1c by 12.5% (p = 0.04) and low-frequency power LF (ms2) by 29.7% (p = 0.01). Linear regression analysis after training showed that VO2peak was correlated with SDNN (r = 0.55, p = 0.03) and HF (r = 0.72, p = 0.02). Multiple regression analysis indicated that the improvement of sympathovagal balance and aerobic capacity depended on patients’ participation in exercise training. Conclusion: In conclusion, a 6-month home-based mixed-type exercise program can improve cardiac autonomic function and metabolic profile in DKD patients on HD.

Male infertility and somatic health - insights into lipid damage as a mechanistic link

Over the past decade, mounting evidence has shown an alarming association between male subfertility and poor somatic health, with substantial evidence supporting the increased incidence of oncological disease, cardiovascular disease, metabolic disorders and autoimmune diseases in men who have previously received a subfertility diagnosis. This paradigm is concerning, but might also provide a novel window for a crucial health reform in which the infertile phenotype could serve as an indication of potential pathological conditions. One of the major limiting factors in this association is the poor understanding of the molecular features that link infertility with comorbidities across the life course. Enzymes involved in the lipid oxidation process might provide novel clues to reconcile the mechanistic basis of infertility with incident pathological conditions. Building research capacity in this area is essential to enhance the early detection of disease states and provide crucial information about the disease risk of offspring conceived through assisted reproduction.

The 10-year multimorbidity trajectory and mortality risk in older people with long-term care needs

BACKGROUND

This study aimed to identify trajectories of multimorbidity in older adults prior to receiving long-term care benefits and to demonstrate their value in predicting mortality.

METHODS

This study included 1,004,924 Korean beneficiaries who completed the National Long-Term Care Insurance (NLTCI) eligibility assessment between 2010 and 2016. Multimorbidity was defined as the coexistence of 2 or more out of 23 chronic diseases related to disability in the 10 years before transitioning to long-term care. Mortality was defined as all-cause deaths after the date of the NLTCI needs assessment. Latent class growth modeling was performed to identify groups that exhibited similar trajectory patterns over time. Sex, age, and long-term care grade were used as covariates. Cox proportional hazards models were used to analyze the mortality rates by trajectories.

RESULTS

Three patterns emerged in the multimorbidity trajectory in the 10 years prior to entering the long-term care system: consistently low morbidity ("consistently low"), an abrupt increase in morbidity in less than one year ("catastrophic"), and an increment in morbidity over a longer period ("progressive"). In multiple Cox regression adjusting for covariates, the hazard ratios (95% confidence interval) of 1-year mortality for the catastrophic and progressive groups were 1.38 (1.36-1.39) and 1.43 (1.41-1.45), respectively, compared to the consistently low group.

CONCLUSIONS

This study identified distinct trajectories of multimorbidity in older people accessing the long-term care system and demonstrated their prognostic value for the survival of those with long-term care needs. Treatment and management strategies targeting individuals with a high-risk trajectory are warranted.

Perioperative Factors Impact on Mortality and Survival Rate of Geriatric Patients Undergoing Surgery in the COVID-19 Pandemic: A Prospective Cohort Study in Indonesia

Background: The COVID-19 pandemic continues to have an impact on geriatric patients worldwide since geriatrics itself is an age group with a high risk due to declined physiological function and many comorbidities, especially for those who undergo surgery. In this study, we determine the association between perioperative factors with 30-day mortality and a survival rate of geriatric patients undergoing surgery during COVID-19 pandemic. Methods: A prospective cohort study was conducted at 14 central hospitals in Indonesia. The recorded variables were perioperative factors, 30-day mortality, and survival rate. Analyses of associations between variables and 30-day mortality were performed using univariate/multivariable logistic regression, and survival rates were determined with Kaplan−Meier survival analysis. Results: We analyzed 1621 elderly patients. The total number of patients who survived within 30 days of observation was 4.3%. Several perioperative factors were associated with 30-day mortality (p < 0.05) is COVID-19 (OR, 4.34; 95% CI, 1.04−18.07; p = 0.04), CCI > 3 ( odds ratio [OR], 2.33; 95% confidence interval [CI], 1.03−5.26; p = 0.04), emergency surgery (OR, 3.70; 95% CI, 1.96−7.00; p ≤ 0.01), postoperative ICU care (OR, 2.70; 95% CI, 1.32−5.53; p = 0.01), and adverse events (AEs) in the ICU (OR, 3.43; 95% CI, 1.32−8.96; p = 0.01). Aligned with these findings, COVID-19, CCI > 3, and comorbidities have a log-rank p < 0.05. The six comorbidities that have log-rank p < 0.05 are moderate-to-severe renal disease (log-rank p ≤ 0.01), cerebrovascular disease (log-rank p ≤ 0.01), diabetes with chronic complications (log-rank p = 0.03), metastatic solid tumor (log-rank p = 0.02), dementia (log-rank p ≤ 0.01), and rheumatology disease (log-rank p = 0.03). Conclusions: Having at least one of these conditions, such as COVID-19, comorbidities, emergency surgery, postoperative ICU care, or an AE in the ICU were associated with increased mortality in geriatric patients undergoing surgery during the COVID-19 pandemic.

Implementation of a Physical Activity Vital Sign in Primary Care: Associations Between Physical Activity, Demographic Characteristics, and Chronic Disease Burden

INTRODUCTION

Physical activity is important to prevent and manage multiple chronic medical conditions. The objective of this study was to describe the implementation of a physical activity vital sign (PAVS) in a primary care setting and examine the association between physical activity with demographic characteristics and chronic disease burden.

METHODS

We extracted data from the electronic medical records of patients who had visits from July 2018 through January 2020 in a primary care clinic in which PAVS was implemented as part of the intake process. Data collected included self-reported physical activity, age, sex, body mass index, race, ethnicity, and a modified Charlson Comorbidity Index score indicating chronic disease burden. We classified PAVS into 3 categories of time spent in moderate to strenuous intensity physical activity: consistently inactive (0 min/wk), inconsistently active (<150 min/wk), and consistently active (≥150 min/wk). We used χ² tests of independence to test for association between PAVS categories and all other variables.

RESULTS

During the study period, 13,704 visits, corresponding to 8,741 unique adult patients, had PAVS recorded. Overall, 18.1% of patients reported being consistently inactive, 48.3% inconsistently active, and 33.7% consistently active. All assessed demographic and clinical covariates were associated with PAVS classification (all P < .001). Larger percentages of consistent inactivity were reported for female, older, and underweight or obese patients. Larger percentages of consistent activity were reported for male, younger, and normal weight or overweight patients.

CONCLUSION

Using PAVS as a screening tool in primary care enables physicians to understand the physical activity status of their patients and can be useful in identifying inactive patients who may benefit from physical activity counseling.

Antiplatelet therapy contributes to a higher risk of traumatic intracranial hemorrhage compared to anticoagulation therapy in ground-level falls: a single-center retrospective study

BACKGROUND

Traumatic brain injury (TBI) is a common injury and constitutes up to 3% of emergency department (ED) visits. Current studies show that TBI is most commonly inflicted in older patients after ground-level falls. These patients often take medications affecting coagulation such as anticoagulants or antiplatelet drugs. Guidelines for ED TBI-management assume that anticoagulation therapy (ACT) confers a higher risk of traumatic intracranial hemorrhage (TICH) than antiplatelet therapy (APT). However, recent studies have challenged this. This study aimed to evaluate if oral anticoagulation and platelet inhibitors affected rate of TICH in head-trauma patients with ground-level falls.

METHODS

This was a retrospective review of medical records during January 1, 2017 to December 31, 2017 and January 1 2020 to December 31, 2020 of all patients seeking ED care because of head-trauma. Patients ≥ 18 years with ground-level falls were included.

RESULTS

The study included 1938 head-trauma patients with ground-level falls. Median age of patients with TICH was 81 years. The RR for TICH in APT-patients compared to patients without medication affecting coagulation was 1.72 (p = 0.01) (95% Confidence Interval (CI) 1.13-2.60) and 1.08 (p = 0.73), (95% CI 0.70-1.67) in ACT-patients. APT was independently associated with TICH in regression analysis (OR 1.59 (95% CI 1.02-2.49), p = 0.041).

CONCLUSION

This study adds to the growing evidence that APT-patients with ground-level falls might have as high or higher risk of TICH than ACT-patients. This is not addressed in the current guidelines which may need to be updated. We therefore recommend broad prospective studies.

Dengue Virus Infection and Risk of Parkinson's Disease: A Nationwide Longitudinal Study

Background: Increasing evidence suggests a potential relationship between viral infection and Parkinson’s disease (PD). Objective: Herein, we explore the association between infection by dengue virus and PD. Methods: Between 1997 and 2012, we recruited 1,422 patients with dengue fever and 14,220 matched controls (age, sex, time of enrollment, and medical and mental comorbidities) from the Taiwan National Health Insurance Research Database. We identified new onset of PD to the end of 2013. The Kaplan-Meier method was used to estimate the incidence rate of PD. Cox-regression analysis was applied to calculate the hazard ratios (HRs) with 95% confidence intervals (CIs) after adjustment for confounders. Results: During the follow up period, the dengue group had higher incidence of PD than the control group (1.2% vs. 0.4% , p = 0.001). Patients with dengue fever had a significantly higher risk of developing PD [HR, 2.59; 95% CI, 1.51–4.44] compared with the controls, after adjustments for demographic data, PD-related comorbidities, and all-cause clinical visits. The subgroup analysis, stratified by age and sex, found that higher risk for PD was statistically significant for male (HR, 3.51; 95% CI, 1.76–7.00) and patients aged >60 years (HR, 2.96; 95% CI, 1.62–5.41). Conclusion: The risk of PD was 2.59-fold higher in patients with dengue fever than in non-infected controls during the follow-up period. Clinicians need to monitor signs of PD during patient recovery from dengue fever. Additional studies are needed to confirm our results and investigate the mechanisms linking PD and dengue virus infection.

Inequalities in developing multimorbidity over time: A population-based cohort study from an urban, multi-ethnic borough in the United Kingdom

Background

Social and material deprivation accelerate the development of multimorbidity, yet the mechanisms which drive multimorbidity pathways and trajectories remain unclear. We aimed to examine the association between health inequality, risk factors and accumulation or resolution of LTCs, taking disease sequences into consideration.

Methods

We conducted a retrospective cohort of adults aged 18 years and over, registered between April 2005 and May 2020 in general practices in one inner London borough (n = 826,936). Thirty-two long term conditions (LTCs) were selected using a consensus process, based on a definition adapted to the demographic characteristics of the local population. sThe development and resolution of these LTCs were examined according to sociodemographic and clinical risk factors (hypertension; moderate obesity (BMI 30·0-39·9 kg/m2), high cholesterol (total cholesterol > 5 mmol/L), smoking, high alcohol consumption (>14 units per week), and psychoactive substance use), through the application of multistate Markov chain models.

Findings

Participants were followed up for a median of 4.2 years (IQR = 1·8 - 8·4); 631,760 (76%) entered the study with no LTCs, 121,424 (15%) with 1 LTC, 41,720 (5%) with 2 LTCs, and 31,966 (4%) with three or more LTCs. At the end of follow-up, 194,777 (24%) gained one or more LTCs, while 45,017 (5%) had resolved LTCs and 27,021 (3%) died. In multistate models, deprivation (hazard ratio [HR] between 1·30 to 1·64), female sex (HR 1·13 to 1·20), and Black ethnicity (HR 1·20 to 1·30; vs White) were independently associated with increased risk of transition from one to two LTCs, and shorter time spent in a healthy state. Substance use was the strongest risk factor for multimorbidity with an 85% probability of gaining LTCs over the next year. First order Markov chains identified consistent disease sequences including: chronic pain or osteoarthritis followed by anxiety and depression; alcohol and substance dependency followed by HIV, viral hepatitis, and liver disease; and morbid obesity followed by diabetes, hypertension, and chronic pain.

Interpretation

We examined the relations among 32 LTCs, taking the order of disease occurrence into consideration. Distinctive patterns for the development and accumulation of multimorbidity have emerged, with increased risk of transitioning from no conditions to multimorbidity and mortality related to ethnicity, deprivation and gender. Musculoskeletal disorders, morbid obesity and substance abuse represent common entry points to multimorbidity trajectories.

Comparison of Indexes to Measure Comorbidity Burden and Predict All-Cause Mortality in Rheumatoid Arthritis

Objectives: To examine the comorbidity burden in patients with rheumatoid arthritis (RA) patients using a nationwide population-based cohort by assessing the Charlson Comorbidity Index (CCI), Elixhauser Comorbidity Index (ECI), Multimorbidity Index (MMI), and Rheumatic Disease Comorbidity Index (RDCI) scores and to investigate their predictive ability for all-cause mortality. Methods: We identified 24,767 RA patients diagnosed from 1998 to 2008 in Taiwan and followed up until 31 December 2013. The incidence of comorbidities was estimated in three periods (before, during, and after the diagnostic period). The incidence rate ratios were calculated by comparing during vs. before and after vs. before the diagnostic period. One- and 5-year mortality rates were calculated and discriminated by low and high-score groups and modified models for each index. Results: The mean score at diagnosis was 0.8 in CCI, 2.8 in ECI, 0.7 in MMI, and 1.3 in RDCI, and annual percentage changes are 11.0%, 11.3%, 9.7%, and 6.8%, respectively. The incidence of any increase in the comorbidity index was significantly higher in the periods of “during” and “after” the RA diagnosis (incidence rate ratios for different indexes: 1.33–2.77). The mortality rate significantly differed between the high and low-score groups measured by each index (adjusted hazard ratios: 2.5–4.3 for different indexes). CCI was slightly better in the prediction of 1- and 5-year mortality rates. Conclusions: Comorbidities are common before and after RA diagnosis, and the rate of accumulation accelerates after RA diagnosis. All four comorbidity indexes are useful to measure the temporal changes and to predict mortality.

Studying trajectories of multimorbidity: a systematic scoping review of longitudinal approaches and evidence

OBJECTIVES

Multimorbidity-the co-occurrence of at least two chronic diseases in an individual-is an important public health challenge in ageing societies. The vast majority of multimorbidity research takes a cross-sectional approach, but longitudinal approaches to understanding multimorbidity are an emerging research area, being encouraged by multiple funders. To support development in this research area, the aim of this study is to scope the methodological approaches and substantive findings of studies that have investigated longitudinal multimorbidity trajectories.

DESIGN

We conducted a systematic search for relevant studies in four online databases (Medline, Scopus, Web of Science and Embase) in May 2020 using predefined search terms and inclusion and exclusion criteria. The search was complemented by searching reference lists of relevant papers. From the selected studies, we systematically extracted data on study methodology and findings and summarised them in a narrative synthesis.

RESULTS

We identified 35 studies investigating multimorbidity longitudinally, all published in the last decade, and predominantly in high-income countries from the Global North. Longitudinal approaches employed included constructing change variables, multilevel regression analysis (eg, growth curve modelling), longitudinal group-based methodologies (eg, latent class modelling), analysing disease transitions and visualisation techniques. Commonly identified risk factors for multimorbidity onset and progression were older age, higher socioeconomic and area-level deprivation, overweight and poorer health behaviours.

CONCLUSION

The nascent research area employs a diverse range of longitudinal approaches that characterise accumulation and disease combinations and to a lesser extent disease sequencing and progression. Gaps include understanding the long-term, life course determinants of different multimorbidity trajectories, and doing so across diverse populations, including those from low-income and middle-income countries. This can provide a detailed picture of morbidity development, with important implications from a clinical and intervention perspective.

Guideline Adherence of β-blocker Initiating Dose and its Consequence in Hospitalized Patients With Heart Failure With Reduced Ejection Fraction

Background: We aim to investigate the guideline adherence of β-blocker (BB) initiating dose in Chinese hospitalized patients with heart failure with reduced ejection fraction (HFrEF) and whether the adherence affected the in-hospital outcomes. Methods: This was a retrospective study of patients hospitalized with HFrEF who had initiated BBs during their hospitalization. We defined adherence to clinical practice guidelines as initiating BB with standard dose and non-adherence to guidelines if otherwise, and examined the association between adherence to guidelines and in-hospital BB-related adverse events. Subgroup analyses based on sex, age, coronary heart disease, and hypertension were performed. Results: Among 1,104 patients with HFrEF initiating BBs during hospitalization (median length of hospitalization, 12 days), 304 (27.5%) patients received BB with non-adherent initiating dose. This non-adherence was related to a higher risk (hazard ratio [95% confidence interval]) of BB dose reduction or withdrawal (1.78 [1.42 to 2.22], P < 0.001), but not significantly associated with risks of profound bradycardia, hypotension, cardiogenic shock requiring intravenous inotropes, and severe bronchospasm requiring intravenous steroid during hospitalization. Conclusion: This study identified that over a fourth of patients had received BBs with an initiating dose that was not adherent to guidelines in Chinese hospitalized patients with HFrEF, and this non-adherence was associated with BB dose reduction or withdrawal during hospitalization.

Maryland's Global Budget Revenue Model: How Do Costs and Readmission Rates Fare for Patients Undergoing Total Knee Arthroplasty?

In 2014, Maryland implemented the Global Budget Revenue (GBR) model for cost reduction and quality improvement. This study evaluated GBR's effect on demographics and outcomes for patients who underwent primary total knee arthroplasty (TKA) by comparing Maryland to the United States (U.S.). We identified primary TKA patients in Maryland's State Inpatient Database (n = 71,022) and the National Inpatient Sample (n = 4,045,245) between 2011 and 2016 utilizing International Classification of Disease (ICD)-9 and ICD-10 diagnosis codes. Multiple regression was used for difference-in-difference (DID) analyses to compare the intervention cohort (Maryland) to the nonintervention cohort (U.S.) between the pre-GBR (2011-2013) and post-GBR (2014-2016) periods. After GBR implementation, there were proportionally less white, obese, morbidly obese, Medicare, and Medicaid patients with proportionally more routine discharge patients in Maryland and the U.S. (all p < 0.001). There were proportionally less home health care (HHC) patients in Maryland, but more in the U.S. (both p < 0.001). The mean lengths of stay (LOS), costs, and complications decreased for both cohorts, while charges increased for the U.S. (all p < 0.001). The DID analysis suggested Maryland saw more Asian and Medicaid patients and less obese and morbidly obese patients under GBR. The DID assessments also found decreased LOS, costs, and charges (p < 0.001 for all) for patients under GBR. As other states such as Pennsylvania and Vermont explore hospital budgets, Maryland may provide a more viable model for future health care policies that incorporate global budgets.

Longer Leukocytes Telomere Length Predicts a Significant Survival Advantage in the Elderly TRELONG Cohort, with Short Physical Performance Battery Score and Years of Education as Main Determinants for Telomere Elongation

Leukocyte telomere length (LTL) represents a key integrating component of the cumulative effects of environmental, lifestyle, and genetic factors. A question, however, remains on whether LTL can be considered predictive for a longer and healthier life. Within the elderly prospective TRELONG cohort (n = 612), we aimed to investigate LTL as a predictor of longevity and identify the main determinants of LTL among many different factors (physiological and lifestyle characteristics, physical performance and frailty measures, chronic diseases, biochemical measurements and apolipoprotein E genotyping). We found an ever-increasing relationship between LTL quartiles and survival. Hazard ratio analysis showed that for each unit increase in LTL and Short Physical Performance Battery (SPPB) scores, the mortality risk was reduced by 22.41% and 8.78%, respectively. Conversely, male gender, Charlson Comorbidity Index, and age threatened survival, with mortality risk growing by 74.99%, 16.57% and 8.5%, respectively. Determinants of LTL elongation were SPPB scores (OR = 1.1542; p = 0.0066) and years of education (OR = 1.0958; p = 0.0065), while male gender (OR = 0.4388; p =  0.0143) and increased Disease Count Index (OR = 0.6912; p  =  0.0066) were determinants of LTL attrition. Longer LTL predicts a significant survival advantage in elderly people. By identifying determinants of LTL elongation, we provided additional knowledge that could offer a potential translation into prevention strategies.

Comorbidity burden in patients undergoing left atrial appendage closure

OBJECTIVE

To estimate the risk of in-hospital complications after left atrial appendage closure (LAAC) in relationship with comorbidity burden.

METHODS

Cohort-based observational study using the US National Inpatient Sample database, 1 October 2015 to 31 December 2017. The main outcome of interest was the occurrence of in-hospital major adverse events (MAE) defined as the composite of bleeding complications, acute kidney injury, vascular complications, cardiac complications and postprocedural stroke. Comorbidity burden and thromboembolic risk were assessed by the Charlson Comorbidity Index (CCI), Elixhauser Comorbidity Score (ECS) and CHA2DS2-VASc score. MAE were identified using International Classification of Diseases, Tenth Revision, Clinical Modification codes. The associations of comorbidity with in-hospital MAE were evaluated using logistic regression models.

RESULTS

A total of 3294 hospitalisations were identified, among these, the mean age was 75.7±8.2 years, 60% were male and 86% whites. The mean CHA2DS2-VASc score was 4.3±1.5 and 29.5% of the patients had previous stroke or transient ischaemic attack. The mean CCI and ECS were 2.2±1.9 and 9.7±5.8, respectively. The overall composite rate of in-hospital MAE after LAAC was 4.6%. Females and non-whites had about 1.5 higher odds of in-hospital AEs as well participants with higher CCI (adjusted OR (aOR): 1.19, 95% CI: 1.13 to 1.24, p<0.001), ECS (aOR: 1.06, 95% CI: 1.05 to 1.08, p<0.001) and CHA2DS2-VASc score (aOR: 1.08, 95% CI: 1.02 to 1.15, p=0.01) were significantly associated with in-hospital MAE.

CONCLUSION

In this large cohort of LAAC patients, the majority of them had significant comorbidity burden. In-hospital MAE occurred in 4.6% and female patients, non-whites and those with higher burden of comorbidities were at higher risk of in-hospital MAE after LAAC.

Comparing Outcomes for Female Total Knee Arthroplasty Patients Under Global Budget Revenue

Maryland implemented the all-payer, rater-setting Global Budget Revenue (GBR) payment model in 2014 to reduce cost and improve quality. This study assessed the effect of GBR on total knee arthroplasty (TKA) outcomes by sex. Specifically, the authors assessed (1) demographics and (2) outcomes of males and females undergoing TKA before and after GBR implementation. The Maryland State Inpatient Database was queried from 2011 to 2016. There were 71,066 TKAs (male, n=25,413; female, n=45,634). For continuous and categorical variables, t testing and chi-square analyses were used, respectively. Difference-in-difference analyses using multiple regression compared changes in sex from the pre-GBR period (2011-2013) with the post-GBR period (2014-2016). The female proportion decreased (-1.9%; P=.040). Proportionally more TKA patients were Hispanic and Asian, from high-income areas, using Medicare and Medicaid, and morbidly obese (all P<.001). The mean length of stay (LOS), charges, and costs were decreased after GBR implementation (all P<.001). More patients were discharged routine and had fewer readmissions (both P<.001). There were fewer complications, including deep venous thromboses/pulmonary emboli, urinary tract infections, and blood transfusions (all P<.001). The difference-in-difference analyses suggested more females were discharged with home health care and had longer LOS than did males (both P<.001). The GBR appears to meet its main objective of cost reduction and improvements in quality of care. However, the proportion of females receiving TKA decreased, and their LOS did not improve as much as that of males. As other states consider global budgets, more research is needed to ensure this all-payer, rate-setting, capitated system does not cause decreased access to care. [Orthopedics. 2021;44(2):e266-e273.].

Systematic review on the instruments used for measuring the association of the level of multimorbidity and clinically important outcomes

OBJECTIVES

There are multiple instruments for measuring multimorbidity. The main objective of this systematic review was to provide a list of instruments that are suitable for use in studies aiming to measure the association of a specific outcome with different levels of multimorbidity as the main independent variable in community-dwelling individuals. The secondary objective was to provide details of the requirements, strengths and limitations of these instruments, and the chosen outcomes.

METHODS

We conducted the review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (PROSPERO registration number: CRD42018105297). We searched MEDLINE, Embase and CINAHL electronic databases published in English and manually searched the Journal of Comorbidity between 1 January 2010 and 23 October 2020 inclusive. Studies also had to select adult patients from primary care or general population and had at least one specified outcome variable. Two authors screened the titles, abstracts and full texts independently. Disagreements were resolved with a third author. The modified Newcastle-Ottawa Scale was used for quality assessment.

RESULTS

Ninety-six studies were identified, with 69 of them rated to have a low risk of bias. In total, 33 unique instruments were described. Disease Count and weighted indices like Charlson Comorbidity Index were commonly used. Other approaches included pharmaceutical-based instruments. Disease Count was the common instrument used for measuring all three essential core outcomes of multimorbidity research: mortality, mental health and quality of life. There was a rise in the development of novel weighted indices by using prognostic models. The data obtained for measuring multimorbidity were from sources including medical records, patient self-reports and large administrative databases.

CONCLUSIONS

We listed the details of 33 instruments for measuring the level of multimorbidity as a resource for investigators interested in the measurement of multimorbidity for its association with or prediction of a specific outcome.

Do routine hospital data accurately record comorbidity in advanced kidney disease populations? A record linkage cohort study

BACKGROUND

Routine healthcare datasets capturing clinical and administrative information are increasingly being used to examine health outcomes. The accuracy of such data is not clearly defined. We examine the accuracy of diagnosis recording in individuals with advanced chronic kidney disease using a routine healthcare dataset in England with comparison to information collected by trained research nurses.

METHODS

We linked records from the Access to Transplant and Transplant Outcome Measures study to the Hospital Episode Statistics dataset. International Classification of Diseases (ICD-10) and Office for Population Censuses and Surveys Classification of Interventions and Procedures (OPCS-4) codes were used to identify medical conditions from hospital data. The sensitivity, specificity, positive and negative predictive values were calculated for a range of diagnoses.

RESULTS

Comorbidity information was available in 96% of individuals prior to starting kidney replacement therapy. There was variation in the accuracy of individual medical conditions identified from the routine healthcare dataset. Sensitivity and positive predictive values ranged from 97.7 and 90.4% for diabetes and 82.6 and 82.9% for ischaemic heart disease to 44.2 and 28.4% for liver disease.

CONCLUSIONS

Routine healthcare datasets accurately capture certain conditions in an advanced chronic kidney disease population. They have potential for use within clinical and epidemiological research studies but are unlikely to be sufficient as a single resource for identifying a full spectrum of comorbidities.

Comparing Charlson and Elixhauser comorbidity indices with different weightings to predict in-hospital mortality: an analysis of national inpatient data

Background

Understanding how comorbidity measures contribute to patient mortality is essential both to describe patient health status and to adjust for risks and potential confounding. The Charlson and Elixhauser comorbidity indices are well-established for risk adjustment and mortality prediction. Still, a different set of comorbidity weights might improve the prediction of in-hospital mortality. The present study, therefore, aimed to derive a set of new Swiss Elixhauser comorbidity weightings, to validate and compare them against those of the Charlson and Elixhauser-based van Walraven weights in an adult in-patient population-based cohort of general hospitals.

Methods

Retrospective analysis was conducted with routine data of 102 Swiss general hospitals (2012–2017) for 6.09 million inpatient cases. To derive the Swiss weightings for the Elixhauser comorbidity index, we randomly halved the inpatient data and validated the results of part 1 alongside the established weighting systems in part 2, to predict in-hospital mortality. Charlson and van Walraven weights were applied to Charlson and Elixhauser comorbidity indices. Derivation and validation of weightings were conducted with generalized additive models adjusted for age, gender and hospital types.

Results

Overall, the Elixhauser indices, c-statistic with Swiss weights (0.867, 95% CI, 0.865–0.868) and van Walraven’s weights (0.863, 95% CI, 0.862–0.864) had substantial advantage over Charlson’s weights (0.850, 95% CI, 0.849–0.851) and in the derivation and validation groups. The net reclassification improvement of new Swiss weights improved the predictive performance by 1.6% on the Elixhauser-van Walraven and 4.9% on the Charlson weights.

Conclusions

All weightings confirmed previous results with the national dataset. The new Swiss weightings model improved slightly the prediction of in-hospital mortality in Swiss hospitals. The newly derive weights support patient population-based analysis of in-hospital mortality and seek country or specific cohort-based weightings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-020-05999-5.

Diabetes in Patients With Heart Failure With Reduced Ejection Fraction During Hospitalization: A Retrospective Observational Study

BACKGROUND

Diabetes is prevalent worldwide including hospitalized patients with heart failure with reduced ejection fraction (HFrEF). This retrospective study investigated the association of diabetes with in-hospital adverse events in patients with HFrEF.

METHODS

We analyzed data from electronic medical records of patients hospitalized with HFrEF in West China Hospital of Sichuan University from January 1, 2011, to September 30, 2018. Propensity score matching balances the baseline characteristics between patients with and without diabetes. Logistic and Poisson regressions investigated the association of diabetes with risks of intubation, cardiogenic shock, acute kidney injury (AKI), intensive care unit (ICU) admission and death during hospitalization, and length of ICU and hospital stay in the matched cases.

RESULTS

Among 6,022 eligible patients (including 1,998 with diabetes), 1,930 patient pairs with and without diabetes were included by propensity score matching. Patients with diabetes had a significantly increased risk of intubation (odds ratio [OR], 2.69; 95% confidence interval [CI], 2.25-3.22; P<0.001), cardiogenic shock (OR, 2.01; 95% CI, 1.72-2.35; P<0.001), AKI at any stage (OR, 1.67; 95% CI, 1.44-1.94; P<0.001), ICU admission (OR, 1.89; 95% CI, 1.65-2.15; P<0.001), and death (OR, 4.25; 95% CI, 3.06-6.02; P<0.001) during hospitalization. Patients with diabetes had longer ICU (median difference, 1.47 days; 95% CI, 0.96-2.08; P<0.001) and hospital stay (2.20 days; 95% CI, 1.43-2.86; P<0.001) than those without diabetes. There were potential subgroup effects by age and by hypertension, and CKD status on the association of diabetes with risk of AKI at any stage; and subgroup effects by sex and CKD status on the association of diabetes with risk of intubation. The increase in length of hospital stay was larger in patients without hypertension than those with hypertension.

CONCLUSIONS

Among patients with HFrEF, those with diabetes have a worse prognosis, including a higher risk of in-hospital intubation, cardiogenic shock, AKI, ICU admission and death during hospitalization, and longer ICU and hospital stay.

Validation of the Tokyo guideline 2018 treatment proposal for acute cholecystitis from a single-center retrospective analysis

INTRODUCTION

The revised Tokyo guideline 2018 (TG18) recommends early laparoscopic cholecystectomy (LC) in patients with acute cholecystitis (AC) who satisfy the Charlson Comorbidity Index criteria and the ASA Physical Status Classification (ASA-PS). Our study aims to determine the efficacy of the TG18 treatment strategy.

METHODS

We enrolled 324 patients who had been diagnosed with AC according to the TG18 and who underwent cholecystectomy between 2010 and 2018. Perioperative variables and surgical outcomes were analyzed according to the TG18 treatment strategy and severity grading.

RESULTS

The Charlson Comorbidity Index and ASA-PS scores were significantly higher in patients with Grade II and Grade III AC than in those with Grade I AC. In patients with a higher severity grading, LC failed, necessitating blood transfusion and bailout surgery. Among patients treated by the TG18 strategy were a higher proportion with Grade I or II AC; their ASA-PS scores were significantly lower than patients with Grade III AC. Compared to patients not treated by the TG18 strategy, this group demonstrated significant differences in the achievement of LC, bailout surgery, postoperative hospital stays, and 90-day mortality rates. Intraoperative blood loss and blood transfusion were significantly higher in those not treated by the TG18 strategy.

CONCLUSIONS

Our study shows that the TG18 treatment strategy is well-designed and efficacious. Given the high rate of blood transfusion and conversion surgery in treatment strategies other that TG18, special attention should be paid when selecting the optimal treatment strategy.

Extra-hepatic comorbidity burden significantly increases 90-day mortality in patients with cirrhosis and high model for endstage liver disease

BACKGROUND

We examined how extra-hepatic comorbidity burden impacts mortality in patients with cirrhosis referred for liver transplantation (LT).

METHODS

Adults with cirrhosis evaluated for their first LT in 2012 were followed through their clinical course with last follow up in 2019. Extra-hepatic comorbidity burden was measured using the Charlson Comorbidity Index (CCI). The endpoints were 90-day transplant free survival (Cox-Proportional Hazard regression), and overall mortality (competing risk analysis).

RESULTS

The study included 340 patients, mean age 56 ± 11, 63% male and MELD-Na 17.2 ± 6.6. The CCI was 0 (no comorbidities) in 44%, 1-2 in 44% and > 2 (highest decile) in 12%, with no differences based on gender but higher CCI in patients with fatty and cryptogenic liver disease. Thirty-three (10%) of 332 patients not receiving LT within 90 days died. Beyond MELD-Na, the CCI was independently associated with 90-day mortality (hazard ratio (HR), 1.32 (95% confidence interval (CI) 1.02-1.72). Ninety-day mortality was specifically increased with higher CCI category and MELD ≥18 (12% (CCI = 0), 22% (CCI = 1-2) and 33% (CCI > 2), (p = 0.002)) but not MELD-Na ≤17. At last follow-up, 69 patients were alive, 100 underwent LT and 171 died without LT. CCI was associated with increased overall mortality in the competing risk analysis (Sub-HR 1.24, 95%CI 1.1-1.4).

CONCLUSIONS

Extra-hepatic comorbidity burden significantly impacts short-term mortality in patients with cirrhosis and high MELD-Na. This has implications in determining urgency of LT and mortality models in cirrhosis and LT waitlisting, especially with an ageing population with increasing prevalence of fatty liver disease.

Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models

Objectives

The time-dependent study of comorbidities provides insight into disease progression and trajectory. We hypothesize that understanding longitudinal disease characteristics can lead to more timely intervention and improve clinical outcomes. As a first step, we developed an efficient and easy-to-install toolkit, the Time-based Elixhauser Comorbidity Index (TECI), which pre-calculates time-based Elixhauser comorbidities and can be extended to common data models (CDMs).

Methods

A Structured Query Language (SQL)-based toolkit, TECI, was built to pre-calculate time-specific Elixhauser comorbidity indices using data from a clinical data repository (CDR). Then it was extended to the Informatics for Integrating Biology and the Bedside (I2B2) and Observational Medical Outcomes Partnership (OMOP) CDMs.

Results

At the University of Arkansas for Medical Sciences (UAMS), the TECI toolkit was successfully installed to compute the indices from CDR data, and the scores were integrated into the I2B2 and OMOP CDMs. Comorbidity scores calculated by TECI were validated against: scores available in the 2015 quarter 1–3 Nationwide Readmissions Database (NRD) and scores calculated using the comorbidities using a previously validated algorithm on the 2015 quarter 4 NRD. Furthermore, TECI identified 18,846 UAMS patients that had changes in comorbidity scores over time (year 2013 to 2019). Comorbidities for a random sample of patients were independently reviewed, and in all cases, the results were found to be 100% accurate.

Conclusions

TECI facilitates the study of comorbidities within a time-dependent context, allowing better understanding of disease associations and trajectories, which has the potential to improve clinical outcomes.

The use of functional performance tests and simple anthropomorphic measures to screen for comorbidity in primary care

BACKGROUND

Many older adults are unaware that they have comorbid diseases. Increased adiposity and reduced muscle mass are identified as key contributors to many chronic diseases in older adults. Understanding the role they play in the development of comorbidities in older populations is of prime importance.

OBJECTIVES

To identify the optimal body shape associated with three common functional performance tests and to determine which anthropometric and functional performance test best explains comorbidity in a sample of older adults in Hong Kong.

METHODS

A total of 432 older adults participated in this cross-sectional study. Researchers assessed their body height, body mass index, waist circumference, waist-to-hip ratio, handgrip strength (kg), functional reach (cm) and results in the timed-up-and-go (TUG) test (seconds). The Charlson Comorbidity Index was used to assess comorbidity.

RESULTS

Allometric modelling indicated that the optimal body shape associated with all functional performance tests would have required the participants to be taller and leaner. The only variable that predicted comorbidity was the TUG test. The inclusion of body size/shape variables did not improve the prediction model.

CONCLUSION

Performance in the TUG test alone was found to be capable of identifying participants at risk of developing comorbidities. The TUG test has potential as a screening tool for the early detection of chronic diseases in older adults.

IMPLICATIONS FOR PRACTICE

Many older people are unaware of their own co-existing illnesses when they consult physicians for a medical condition. TUG can be a quick and useful screening measure to alert nurses in primary care to the need to proceed with more detailed assessments. It is an especially useful screening measure in settings with high patient volumes and fiscal constraints. TUG is low cost and easy to learn and is therefore also relevant for nurses and health workers in low-resource, low-income countries.

Infectious complications associated with parenteral nutrition in intensive care unit and non-intensive care unit patients

INTRODUCTION

Malnutrition is associated with an increased risk of complications in hospitalized patients, and parenteral nutrition (PN) is used when oral or enteral feeding is not possible. This study aimed at analyzing associations between PN characteristics and infectious complications in hospitalized patients.

MATERIAL AND METHODS

This was a retrospective cohort study conducted in a tertiarycare university hospital. Data from consecutive adult patients submitted to PN (January 2016 to December 2017; ICU and ward) were reviewed by means of an electronic database. Patient's clinical characteristics, PN prescription and catheter insertion procedure data were extracted and analyzed. The main outcome was the development of central line-associated bloodstream infection (CLABSI). The secondary outcomes were other infectious complications and mortality, as well as factors associated with CLABSI.

RESULTS

We analyzed 165 patients and 247 catheters used for parenteral nutrition infusion. The CLABSI rate was 6.47 per 1000 catheter-days. In the univariable analysis, CLABSI was associated with longer hospitalization time, longer PN time, longer catheter time, catheter insertion performed by a surgeon or a surgical resident, and procedures performed outside the ICU. In an extended time-dependent Cox regression, no variable was associated with a higher risk of CLABSI, and additional PN days did not increase the rate of CLABSI. The overall mortality rate was 24.8%. Only the patients' comorbidity index was associated with death in the multivariable analysis.

DISCUSSION

In our study, patients who needed PN had an overall CLABSI rate of 6.47 per 1000 catheter-days. These outcomes were not associated with PN and catheter characteristics studied after adjustment for catheter time. The overall mortality rate was 24.8% and it was not associated with PN in multivariable analyses, only with Charlson comorbidity index.

Maryland's Global Budget Revenue model associated with lower inpatient costs and 30-day readmissions in patients undergoing total hip arthroplasty

BACKGROUND

Maryland implemented the Global Budget Revenue (GBR) to reduce hospital costs, improve quality, and decrease readmissions. Studies assessing its impact on inpatient total hip arthroplasty (THA) procedures are lacking. This study compared before and after GBR changes in 1) patient characteristics; 2) discharge dispositions and lengths of stay (LOS); 3) costs and charges of inpatient stays; and 4) 30-day readmission rates (RR) for THA recipients.

METHODS

The Maryland State Inpatient Database was queried for patients who underwent THA between 2010 and 2016 utilizing the ICD-9 and ICD-10 procedure codes (n = 43,251). Pre- and post-GBR periods were grouped as 2010 to 2013 and 2014 to 2016, respectively. Chi-square analyses were used to analyze patient characteristics. Student's t-tests were utilized to compare ages, LOS, costs, charges, and RR.

RESULTS

There were no differences in the proportion of minorities undergoing THA between the pre- and post-GBR periods (18.3% vs 19.4% African American, 1.2% vs 1.3% Hispanic; P = .056). The number of THA patients with Medicaid insurances increased during post-GBR (4.0% vs 6.7%; P < .001). There was an increased rate of home discharges during post-GBR (33.1% vs 40.9%; P < .001). We found lower LOS (-0.50 days; 95% CI: -0.458 to -0.533; P < .001), mean inpatient costs (-$1417.44; 95% CI -$1143.76 to -$1150.32; P < .001), and mean inpatient charges (-$2196.50; 95% CI: -$1980.10 to -$2412.90; P < .001) during the post-GBR period. There were lower 30-day RR during the post-GBR period (-0.9%; P < .001).

CONCLUSIONS

Our findings suggest favorable preliminary results for patients undergoing THA under the GBR model.

Comorbid status and the faecal microbial transplantation failure in treatment of recurrent Clostridioides difficile infection - pilot prospective observational cohort study

BACKGROUND

Faecal microbial transplantation (FMT) is currently the most effective treatment of recurrent Clostridioides difficile infection (CDI). However, up to 20% of patients experience further recurrences after single FMT. The mechanisms that lead to FMT failure and its risk factors are poorly understood. Comorbidity is one of the risk factors of the failure of standard antibiotic therapy of recurrent CDI. It is not known if comorbidity is also associated with the risk of FMT failure.

METHODS

We conducted a prospective observational cohort study in order to elucidate if comorbid status is associated with FMT failure. Patients with microbiologically proven recurrent CDI were recruited and underwent FMT via retention enema. Patients were followed up for 12 weeks after FMT for signs and symptoms of CDI recurrence. Single FMT failure was defined as recurrence of diarrhoea and a positive stool test for the presence of C. difficile antigen or toxin at any time point during the 12 weeks of follow-up. We assessed the association of single FMT failure with possible manageable and unmanageable risk factors. As a surrogate of comorbid status, we used Charlson Comorbidity Index (CCI) ≥ 7.

RESULTS

A total of 60 patients that underwent single FMT (34 women, 26 men) were included in the study. Overall, 15 patients (25%) experienced single FMT failure. 24 patients (40%) had CCI ≥ 7, and 45.0% patients with CCI ≥ 7 experienced failure of single FMT. Patients who experienced single FMT failure had a significantly higher CCI and significantly lower albumin concentration as compared to patients who experienced single FMT success. There was no difference in age, C-reactive protein concentration, leukocyte count and time from FMT to first defecation. In multivariate analysis, CCI ≥ 7 was positively associated with the failure of single FMT. Analysis was controlled for sex, age, time from FMT to first defecation, concomitant PPI therapy, severe CDI, hospital-acquired infection and albumin concentration.

CONCLUSIONS

Comorbid status surrogated by CCI is positively associated with the failure of single FMT in the treatment of recurrent CDI.

The relationship between comorbidities in dementia patients and burden on adult-child primary caregivers: Does having a secondary caregiver matter?

Primary family caregivers of patients with dementia often experience high caregiver burden and significant decline in a range of health outcomes. The current study examined the relationship between medical comorbidities of inpatients with dementia and caregiver burden in adult-child primary caregivers, and the buffering effect of having a secondary caregiver on the relationship between patients' comorbidities and caregiver burden. The study is a secondary analysis of data from a cross-sectional observational study design. The sample comprised 477 dyads of inpatients with dementia and adult-child primary caregivers attending the neurological department of two grade A hospitals. All the inpatients were assessed with the Charlson Comorbidity Index (CCI) and the Mini-Mental State Examination (MMSE). All the adult-child primary caregivers were assessed with the Zarit Burden Interview (ZBI) and completed the questionnaires on socio-demographic data, caring hours, presence of secondary caregiver, and the level of impairment of the patient. Higher burden was associated with higher scores on the CCI and having a spouse of the patient as the secondary caregiver. A significant interaction occurred between the CCI and caregiver burden when having a spouse as the secondary caregiver, indicating the negative effect of the CCI on caregiver burden was greater when the spouse of the patient served as the secondary caregiver. In summary, the negative impact of patients' comorbidities on caregiver burden in adult-child primary caregivers was heightened when the secondary caregiver role was undertaken by the spouse of the patient with dementia. These results may inform programmes targeted to improve care arrangements for people with dementia and their caregivers.

Development and Validation of a Model Consisting of Comorbidity Burden to Calculate Risk of Death Within 6 Months for Patients With Suspected Drug-Induced Liver Injury

BACKGROUND & AIMS

Patients with drug-induced liver injury (DILI) frequently have comorbid conditions, but the effects of non-liver comorbidities on outcomes are not well understood. We investigated the association between comorbidity burden and outcomes of patients with DILI, and developed and validated a model to calculate risk of death within 6 months.

METHODS

A multiple logistic regression model identified variables independently associated with death within 6 months of presenting with suspected DILI (6-month mortality) for 306 patients enrolled in the Drug-Induced Liver Injury Network prospective study at Indiana University (discovery cohort). The model was validated using data from 247 patients with suspected DILI enrolled in the same study at the University of North Carolina (validation cohort). Medical comorbidity burden was calculated using the Charlson Comorbidity Index-patients with scores higher than 2 were considered to have significant comorbidities.

RESULTS

Six-month mortality was 8.5% in the discovery cohort and 4.5% in the validation cohort. In the discovery cohort, significant comorbidities (odds ratio, 5.4; 95% confidence interval [CI], 2.1-13.8), Model for End-Stage Liver Disease score (odds ratio, 1.11; 95% CI, 1.04-1.17), and serum level of albumin at presentation (odds ratio, 0.39; 95% CI, 0.2-0.76) were independently associated with 6-month mortality. A model based on these 3 variables identified patients who died within 6 months, with c-statistic values of 0.89 (95% CI, 0.86-0.94) in the discovery cohort and 0.91 (95% CI, 0.83-0.99) in the validation cohort. We developed a web-based calculator for use in the clinic to determine risk of death within 6 months for patients with suspected DILI.

CONCLUSIONS

We developed and validated a model based on comorbidity burden, Model for End-Stage Liver Disease score, and serum level of albumin that predicts 6-month mortality in patients with suspected DILI.

The influence of Elixhauser comorbidity index on percutaneous coronary intervention outcomes

BACKGROUND

Clinical outcomes with respect to the evolution of comorbidity burden in national cohorts of patients undergoing PCI have not been reported.

OBJECTIVES

We sought to explore the association between comorbidity burden and periprocedural outcomes in patients treated with PCI in the National Inpatient Sample.

METHODS

6,601,526 PCI procedures were identified between 2004 and 2014 and comorbidities were defined by the Elixhauser classification system (ECS) consisting of 30 comorbidity measures. Endpoints included in-hospital mortality, periprocedural complications, length of stay and cost. Patients were classified based on their ECS in five categories (ECS I < 0, ECS II = 0, ECS III = 1-5, ECS IV = 6-13, and ECS V ≥ 14).

RESULTS

Patients with a score over 13 had a fivefold increase in the odds of mortality (OR: 5.13, 95% CI: 4.76-5.54), major bleeding (OR: 11.46, 95% CI: 10.66-12.33) and doubled the hospitalization costs ($31,452 vs $17.566).

CONCLUSIONS

Our study of over six million PCI procedures demonstrates that patients with the greatest comorbid burden (as defined by an ECS of >13) have a fivefold increase risk of in-hospital mortality, a fourfold increase in in-hospital periprocedural complications and an 11-fold increase in major bleeding events once differences in baseline patient characteristics are adjusted for. In addition, ECS significantly impacts the length of stay and doubles the healthcare costs. Comorbid burden is an important predictor of poor outcomes after PCI and should be considered as part of the decision-making processes in patients undergoing PCI.

Outcome in Patients with Isolated Moderate to Severe Traumatic Brain Injury

Introduction

Traumatic brain injury (TBI) remains a major cause of death. Withdrawal of life-sustaining treatment (WLST) can be initiated if there is little anticipated chance of recovery to an acceptable quality of life. The aim of this study was firstly to investigate WLST rates in patients with moderate to severe isolated TBI and secondly to assess outcome data in the survivor group.

Material and Methods

A retrospective cohort study was performed. Patients aged ≥ 18 years with moderate or severe isolated TBI admitted to the ICU of a single academic hospital between 2011 and 2015 were included. Exclusion criteria were isolated spinal cord injury and referrals to and from other hospitals. Gathered data included demographics, mortality, cause of death, WLST, and Glasgow Outcome Scale (GOS) score after three months. Good functional outcome was defined as GOS > 3.

Results

Of 367 patients, 179 patients were included after applying inclusion and exclusion criteria. 55 died during admission (33%), of whom 45 (82%) after WLST. Patients undergoing WLST were older, had worse neurological performance at presentation, and had more radiological abnormalities than patients without WLST. The decision to withdraw life-sustaining treatment was made on the day of admission in 40% of patients. In 33% of these patients, this decision was made while the patient was in the Emergency Department. 71% of survivors had a good functional outcome after three months. No patient left hospital with an unresponsive wakefulness syndrome (UWS) or suffered from UWS after three months. One patient died within three months of discharge.

Conclusion

In-hospital mortality in isolated brain injured patients was 33%. The vast majority died after a decision to withdraw life-sustaining treatment. None of the patients were discharged with an unresponsive wakefulness syndrome.

Temporal Changes in Co-Morbidity Burden in Patients Having Percutaneous Coronary Intervention and Impact on Prognosis

This study aims to evaluate the impact of co-morbidity burden on outcomes in patients who undergo percutaneous coronary intervention (PCI). We used the Nationwide Inpatient Sample to identify all PCI procedures undertaken in the United States from 2004 to 2014. We then determined co-morbidity burden for each patient record based on the Charlson Co-morbidity Score. Multivariable logistic regression models were used to examine the association between co-morbidity burden and in-hospital mortality other in-hospital complications. A total of 6,601,526 PCI procedures were included in the analysis. Overall co-morbidity burden increased over time, with severe co-morbidity burden (defined as a CCI score ≥3) increasing from 5.3% in 2004 to 14.2% in 2014 (p <0.0001). After adjustment for confounding factors increasing co-morbidity burden was independently associated with increased odds of in-hospital mortality, complications, length of hospital stay, and total cost of hospitalization post PCI. A CCI score of 1 was independently associated with an increase in the odds of in hospital mortality (odds ratio [OR] 1.19 [95% confidence interval [CI] 1.15 to 1.25]), a score of 2 associated with an almost 1.5-fold increase (OR 1.41 [95% CI 1.34 to 1.48]) and a score of ≥3 a 2-fold increase (OR 1.96 [95% CI 1.86 to 2.07]) compared with no co-morbid burden (CCI score of 0). In conclusion, our results show that co-morbid burden is independently associated with increased risk of in-hospital mortality, in-hospital complications, length of stay, and healthcare costs.

Longitudinal changes in comorbidity patterns over time in relation to mortality in older Korean adults

This study investigates the different pattern of change in comorbidity over time and its effect on mortality in older adults in South Korea. Data are from the National Health Insurance Service-Korean Senior (NHIS-Korean Senior) claim database, consisting of a random sample of 10% of adults aged 60 years and older. At baseline in 2002 121,733 subjects, who were admitted to the hospital at least once a year between 2002 and 2008, were analyzed. We used the Cox proportional hazards models after growth mixture modeling (GMM) to estimate trajectories in the combined comorbidity Index scores which is the Gagne's method between 2002 and 2008, and their 1-, 3-, and 5-year mortality rates. Five comorbidity trajectory groups were generated: consistently low, increased, decreased/low, decreased/high, and consistently high. After adjusting for all confounders, compared with decreased/low, the consistently high group presented the highest mortality risk (p < 0.001; P_trend < 0.001), with hazard ratios (HR) of 3.48 at 1-year, 2.53 at 3-year, and 1.92 at 5-year follow-up, followed by the increased and decreased/high groups. Five distinct comorbidity trajectories were identified that predicted increased risk of mortality. The group with the consistently high comorbidity scores over time exhibited the highest mortality risk.

Differential relationship between waist circumference and mortality according to age, sex, and body mass index in Korean with age of 30-90 years; a nationwide health insurance database study

BACKGROUND

A recent concept is that obesity, assessed by body mass index (BMI), is not always a sign of poor health. Thus, in order to use obesity metrics in clinical decision making, it is important to clarify the relationship between waist circumference (WC), a proxy for abdominal obesity, and mortality.

METHODS

Data were used from 8,796,759 subjects aged between 30 and 90 years, who had participated in the Korea National Health Screening Examination between January 1, 2009 and December 31, 2009 and survived at least 1 year post screening. Data from a mean follow-up time of an additional 5.3 years (time at risk) were analyzed for the relationship between WC and mortality according to age, sex, and BMI category.

RESULTS

An increased WC of more than 90 cm in men and 85 cm in women showed a definite negative influence on mortality. However, the detailed relationship between WC and mortality was J-shaped or U-shaped according to age, sex, and BMI category. In the normal BMI group, the optimal WC range with the lowest mortality was < 70 cm in men and 70-75 cm in women, whereas in obese individuals a WC between 80 and 90 cm in men and 75 and 85 cm in women showed the lowest mortality. The association between increased WC and higher mortality tended to be more obvious in normal-weight women than in normal-weight men or obese women. Furthermore, in normal-weight and obese women, the effect of increased WC on mortality was more critical for subjects aged < 60 years rather than those aged ≥ 60 years.

CONCLUSIONS

Abdominal obesity, as measured by WC, showed a significant negative association on mortality, and its association with mortality was different according to age, sex, and BMI category. Therefore, WC should be considered in the assessment of obesity-related health risks, and individualized cut-off points for the definition of a healthy WC according to age, sex, and BMI category are necessary.

Effect of Comorbidity On Unplanned Readmissions After Percutaneous Coronary Intervention (From The Nationwide Readmission Database)

It is unclear how comorbidity influences rates and causes of unplanned readmissions following percutaneous coronary intervention (PCI). We analyzed patients in the Nationwide Readmission Database who were admitted to hospital between 2010 and 2014. The comorbidity burden as defined by the Charlson Comorbidity Index (CCI). Primary outcomes were 30-day readmission rates and causes of readmission according to comorbidity burden. A total of 2,294,346 PCI procedures were included the analysis. The patients in CCI = 0, 1, 2 and ≥3 were 842,272(36.7%), 701,476(30.6%), 347,537(15.1%) and 403,061(17.6%), respectively. 219,227(9.6%) had an unplanned readmission within 30 days and rates by CCI group were 6.6%, 8.6%, 11.4% and 15.9% for CCI groups 0, 1, 2 and ≥3, respectively. The CCI score was also associated with greater cost (cost of index PCI for not readmitted vs readmitted was CCI = 0 $21,257 vs $19,764 and CCI ≥ 3 $26,736 vs $27,723). Compared to patients with CCI = 0, greater CCI score was associated with greater independent odds of readmission (CCI = 1 OR 1.25(1.22–1.28), p < 0.001, CCI ≥ 3 OR 2.08(2.03–2.14), p < 0.001). Rates of non-cardiac causes for readmissions increased with increasing CCI group from 49.4% in CCI = 0 to 57.1% in CCI ≥ 3. Rates of early unplanned readmission increase with greater comorbidity burden and non-cardiac readmissions are higher among more comorbid patients.