Cost-effectiveness of surgical comanagement: A systematic review

Predicting perioperative myocardial injury/infarction after noncardiac surgery in patients under surgical and medical co-management: a prospective cohort study

BACKGROUND

Perioperative myocardial injury/infarction (PMI) following noncardiac surgery is a frequent cardiac complication. This study aims to evaluate PMI risk and explore preoperative assessment tools of PMI in patients at increased cardiovascular (CV) risk who underwent noncardiac surgery under the surgical and medical co-management (SMC) model.

METHODS

A prospective cohort study that included consecutive patients at increased CV risk who underwent intermediate- or high-risk noncardiac surgery at the Second Medical Center, Chinese PLA General Hospital, between January 2017 and December 2022. All patients were treated with perioperative management by the SMC team. The SMC model was initiated when surgical intervention was indicated and throughout the entire perioperative period. The incidence, risk factors, and impact of PMI on 30-day mortality were analyzed. The ability of the Revised Cardiac Risk Index (RCRI), frailty, and their combination to predict PMI was evaluated.

RESULTS

613 eligible patients (mean [standard deviation, SD] age 73.3[10.9] years, 94.6% male) were recruited consecutively. Under SMC, PMI occurred in 24/613 patients (3.9%). Patients with PMI had a higher rate of 30-day mortality than patients without PMI (29.2% vs. 0.7%, p = 0.00). The FRAIL Scale for frailty was independently associated with an increased risk for PMI (odds ratio = 5.91; 95% confidence interval [CI], 2.34-14.93; p = 0.00). The RCRI demonstrated adequate discriminatory capacity for predicting PMI (area under the curve [AUC], 0.78; 95% CI, 0.67-0.88). Combining frailty with the RCRI further increased the accuracy of predicting PMI (AUC, 0.87; 95% CI, 0.81-0.93).

CONCLUSIONS

The incidence of PMI was relatively low in high CV risk patients undergoing intermediate- or high-risk noncardiac surgery under SMC. The RCRI adequately predicted PMI. Combining frailty with the RCRI further increased the accuracy of PMI predictions, achieving excellent discriminatory capacity. These findings may aid personalized evaluation and management of high-risk patients who undergo intermediate- or high-risk noncardiac surgery.

Impact of a Hospitalist Co-Management Program on Medical Complications and Length of Stay in Neurosurgical Patients

BACKGROUND

The impact of co-management on clinical outcomes in neurosurgical patients is uncertain. This study aims to describe the implementation of a hospitalist co-management program in a neurosurgery department and its impact on the incidence of complications, mortality, and length of stay.

METHODS

The authors used a quasi-experimental study design that compared a historical control period (July-December 2017) to a prospective intervention arm. During the intervention period, patients admitted to a neurosurgery inpatient unit who were older than 65 years, suffered certain conditions, or were admitted from ICUs were included in the co-management program. Two hospitalists joined the surgical staff and intervened in the diagnostic and therapeutical plan of patients, participating in clinical decisions and coordinating patient navigation with neurosurgeons. The incidence of moderate or severe complications measured by the Accordion Severity Grading System, in-hospital mortality, and length of stay of the two cohorts were compared. Multivariate regression was used to adjust for confounders, and the average treatment effect was estimated using inverse probability of treatment weighting.

RESULTS

The adjusted incidence of moderate or severe complications was lower among co-managed patients (odds ratio [OR] 0.60, 95% confidence interval [CI] 0.39-0.91). Mortality was unchanged (OR 0.83, 95% CI 0.15-4.17). Length of stay was lower in co-managed patients, with a 1.3-day reduction observed after inverse probability of treatment weighting analysis.

CONCLUSION

Hospitalist co-management was associated with a reduced incidence of complications and length of stay in neurosurgical patients, but there was no difference in in-hospital mortality.

Hospitalist Co-management of a Vascular Surgery Service Improves Quality Outcomes and Reduces Cost

INTRODUCTION

Hospitalists can be instrumental in management of inpatients with multiple comorbidities requiring complex medical care such as vascular surgery patients, as well as an expertise in health care delivery. We instituted a unique hospitalist co-management program and assessed length of stay, 30-day readmission rates and mortality, and performed an overall cost-analysis.

METHODS

Hospitalist co-management of vascular surgery inpatients was implemented beginning April 2019, and data was studied until March 2020. We compared this data to an eight-month period prior to implementing co-management (7/2018 - 3/2019). Patient-related outcomes that were assessed include length of stay, re-admission index, mortality index, case-mix index. Cost-analysis was performed to look at indirect and direct cost of care.

RESULTS

A total of 1,062 patients were included in the study 520 pre co-management and 542 patients were post-comanagement. Baseline case-mix index was 2.47, and post-comanagement was 2.46 (p>0.05). In terms of average length of stay (aLOS), the baseline aLOS was 5.16 days per patient, while after co-management it was significantly decreased by 1.25 days to 3.91 days (p<0.05). This improvement in length of stay opened an average of 2.4 telemetry beds per day. Similarly, excess days per patient which reflects the expected length of stay based on comorbidities, improved from -0.59 to -1.65, an improvement of -1.46.

CONCLUSIONS

Hospitalist co-management improves outcomes for vascular surgery inpatients, decreases length of stay, re-admission and mortality while providing a significant cost-savings. The overall average variable direct cost decreased by $1,732 per patient.

CONCLUSION

Hospitalist co-management improves outcomes for vascular surgery inpatients, decreases length of stay, re-admission and mortality while providing a significant cost-savings.

Association of frailty with 90-day postoperative mortality & geriatric comanagement among older adults with cancer

INTRODUCTION

Geriatric medical comanagement of older surgical patients with cancer is associated with lower 90-day postoperative mortality. Here, we investigate the hypothesis that this association varies on the basis of the degree of a patient's frailty.

METHODS

Frailty was assessed using the Memorial Sloan Kettering Frailty Index. Our hypothesis was evaluated using two approaches, both adjusted for age, sex, American Society of Anesthesiologists Physical Status, preoperative albumin, operating room duration, and estimated blood loss. A logistic regression was performed with 90-day mortality as the outcome and geriatric comanagement, continuous Memorial Sloan Kettering Frailty Index, and an interaction term between these two variables as the primary predictors. We then categorized frailty into four levels and, within each level, performed logistic regression with geriatric comanagement as the primary predictor and 90-day mortality as the outcome. Finally, we extracted the effect size and used a meta-analytic approach to test for heterogeneity.

RESULTS

Of 1687 patients aged ≥75 years who underwent elective cancer surgery with a length of stay of ≥1 day, 931 (55%) received comanagement; 31 patients (3.3%) who received comanagement died within 90 days, compared with 72 (9.5%) who did not. Ninety-day mortality was not statistically significantly different by degree of frailty in either analysis (interaction P = 0.4; test of heterogeneity P = 0.8).

CONCLUSION

Geriatric comanagement is valuable for all older surgical patients, not just the frail, and should be provided to as large a portion of the older surgical population as possible. Further research should examine predictors of response to geriatric comanagement.