Association of Frailty with Healthcare Utilization for Patients over One Year Following Surgical Evaluation.

OBJECTIVE: Characterize the distribution of healthcare utilization associated with pre-operative frailty in the year following evaluation by a surgeon. SUMMARY BACKGROUND DATA: Frailty is associated with increased morbidity, mortality, and costs for surgical patients. However, the total financial burden for frail patients beyond the index surgery and inpatient stay remains unknown. METHODS: Prospective cohort assembled from February 2016 to December 2020 within a multi-hospital integrated healthcare delivery and finance system (IDFS), from patients evaluated with the Risk Analysis Index (RAI) of frailty. Inclusion criteria: age greater than 18, valid RAI, membership in the IDFS Health Plan. Data were stratified by frailty and surgical status. RESULTS: The mean (SD) age was 54.7 (16.1) and 58.2% female of the cohort (n=86,572). For all patients with reimbursement for surgery (n=53,856), frail and very frail patients incurred respective increases of 8% ( P =0.027) and 29% ( P <0.001) on utilization relative to the normal group. Robust patients saw a 52% ( P <0.001) decrease. This pattern was more pronounced in the cohort without surgery (n=32,716). The increase over normal utilization for frail and very frail patients increased to 23% ( P =0.004) and 68% ( P <0.001), respectively. Utilization among robust patients decreased 62% ( P <0.001). Increases among the frail were primarily due to increased inpatient medical and post-acute care services (all P <0.001). CONCLUSIONS: Patient frailty is associated with increased total healthcare utilization, primarily via increased inpatient medical and post-acute care following surgery. Quantifying these frailty-related financial burdens may inform clinical decision making as well as the design of value-based reimbursement strategies.

Coaching to Bedside Shift Report and Its Correlation to Hospital Consumer Assessment of Healthcare Providers and Systems and Value-Based Purchasing Dimension Scores: A Multihospital Implementation Study.

OBJECTIVE: The objective of this multihospital study was to investigate how the intervention of coaching to bedside shift report (BSR) correlates with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) outcomes and relates to Centers for Medicare and Medicaid Services (CMS) Hospital Value-Based Purchasing (VBP) Program points over a 4-year period (2017-2020) for an acute care hospital health system. BACKGROUND: Hospital leaders' responsibilities include intertwined areas of patient experience and fiscal accountability. Coaching to BSR is reported to have numerous benefits to the patient's experience. Published studies completed with hospital systems evaluating the intervention of coaching to BSR and how it correlated to patient experience and VBP are limited. METHODS: Coaching to BSR was implemented at 16 adult acute care hospitals. Patient-reported BSR rates were collected in tandem with HCAHPS for 4 years. Statistical correlations were assessed between patient-reported BSR and HCAHPS and consequential effect on VBP dimension scores. RESULTS: Coaching to BSR had a significant impact on top- and bottom-box "rate the hospital" HCAHPS scores at a system and hospital level. Value-based purchasing points and percentages increased over 2017-2020, potentially leading to lower CMS penalty claims over the period the BSR was implemented. CONCLUSIONS: Coaching is a key factor when creating a favorable patient experience. The implementation and sustainability of coaching to BSR may result in improved patient experience ratings and increase VBP point accumulation to hospital systems.

Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer.

BACKGROUND: Substantial evidence supports an association between use of menopausal hormone therapy and decreased colorectal cancer (CRC) risk, indicating a role of exogenous sex hormones in CRC development. However, findings on endogenous oestrogen exposure and CRC are inconsistent. METHODS: We used a Mendelian randomisation approach to test for a causal effect of age at menarche and age at menopause as surrogates for endogenous oestrogen exposure on CRC risk. Weighted genetic risk scores based on 358 single-nucleotide polymorphisms associated with age at menarche and 51 single-nucleotide polymorphisms associated with age at menopause were used to estimate the association with CRC risk using logistic regression in 12,944 women diagnosed with CRC and 10,741 women without CRC from three consortia. Sensitivity analyses were conducted to address pleiotropy and possible confounding by body mass index. RESULTS: Genetic risk scores for age at menarche (odds ratio per year 0.98, 95% confidence interval: 0.95-1.02) and age at menopause (odds ratio 0.98, 95% confidence interval: 0.94-1.01) were not significantly associated with CRC risk. The sensitivity analyses yielded similar results. CONCLUSIONS: Our study does not support a causal relationship between genetic risk scores for age at menarche and age at menopause and CRC risk.

Modeling of successive cancer risks in Lynch syndrome families in the presence of competing risks using copulas.

In this article, we propose an association model to estimate the penetrance (risk) of successive cancers in the presence of competing risks. The association between the successive events is modeled via a copula and a proportional hazards model is specified for each competing event. This work is motivated by the analysis of successive cancers for people with Lynch Syndrome in the presence of competing risks. The proposed inference procedure is adapted to handle missing genetic covariates and selection bias, induced by the data collection protocol of the data at hand. The performance of the proposed estimation procedure is evaluated by simulations and its use is illustrated with data from the Colon Cancer Family Registry (Colon CFR).

Use of Deep Learning to Evaluate Tumor Microenvironmental Features for Prediction of Colon Cancer Recurrence.

Deep learning may detect biologically important signals embedded in tumor morphologic features that confer distinct prognoses. Tumor morphologic features were quantified to enhance patient risk stratification within DNA mismatch repair (MMR) groups using deep learning. Using a quantitative segmentation algorithm (QuantCRC) that identifies 15 distinct morphologic features, we analyzed 402 resected stage III colon carcinomas [191 deficient (d)-MMR; 189 proficient (p)-MMR] from participants in a phase III trial of FOLFOX-based adjuvant chemotherapy. Results were validated in an independent cohort (176 d-MMR; 1,094 p-MMR). Association of morphologic features with clinicopathologic variables, MMR, KRAS, BRAFV600E, and time-to-recurrence (TTR) was determined. Multivariable Cox proportional hazards models were developed to predict TTR. Tumor morphologic features differed significantly by MMR status. Cancers with p-MMR had more immature desmoplastic stroma. Tumors with d-MMR had increased inflammatory stroma, epithelial tumor-infiltrating lymphocytes (TIL), high-grade histology, mucin, and signet ring cells. Stromal subtype did not differ by BRAFV600E or KRAS status. In p-MMR tumors, multivariable analysis identified tumor-stroma ratio (TSR) as the strongest feature associated with TTR [HRadj 2.02; 95% confidence interval (CI), 1.14-3.57; P = 0.018; 3-year recurrence: 40.2% vs. 20.4%; Q1 vs. Q2-4]. Among d-MMR tumors, extent of inflammatory stroma (continuous HRadj 0.98; 95% CI, 0.96-0.99; P = 0.028; 3-year recurrence: 13.3% vs. 33.4%, Q4 vs. Q1) and N stage were the most robust prognostically. Association of TSR with TTR was independently validated. In conclusion, QuantCRC can quantify morphologic differences within MMR groups in routine tumor sections to determine their relative contributions to patient prognosis, and may elucidate relevant pathophysiologic mechanisms driving prognosis. SIGNIFICANCE: A deep learning algorithm can quantify tumor morphologic features that may reflect underlying mechanisms driving prognosis within MMR groups. TSR was the most robust morphologic feature associated with TTR in p-MMR colon cancers. Extent of inflammatory stroma and N stage were the strongest prognostic features in d-MMR tumors. TIL density was not independently prognostic in either MMR group.

Association of Routine Preoperative Frailty Assessment With 1-Year Postoperative Mortality.

Importance: Patient frailty is a known risk factor for adverse outcomes following surgery, but data are limited regarding whether systemwide interventions related to frailty are associated with improved patient outcomes. Objective: To evaluate whether a frailty screening initiative (FSI) is associated with reduced late-term mortality after elective surgery. Design, Setting, and Participants: This quality improvement study with an interrupted time series analysis used data from a longitudinal cohort of patients in a multihospital, integrated health care system in the US. Beginning in July 2016, surgeons were incentivized to measure frailty with the Risk Analysis Index (RAI) for all patients considering elective surgery. Implementation of the BPA occurred in February 2018. The cutoff for data collection was May 31, 2019. Analyses were conducted between January and September 2022. Exposures: The exposure of interest was an Epic Best Practice Alert (BPA) used to identify patients with frailty (RAI ≥42) and prompt surgeons to document a frailty-informed shared decision-making process and consider additional evaluation by a multidisciplinary presurgical care clinic or the primary care physician. Main Outcomes and Measures: The primary outcome was 365-day mortality after the elective surgical procedure. Secondary outcomes included 30-day and 180-day mortality as well as the proportion of patients referred for additional evaluation based on documented frailty. Results: A total of 50 463 patients with at least 1 year of postsurgical follow-up (22 722 before intervention implementation and 27 741 after) were included (mean [SD] age, 56.7 [16.0] y; 57.6% women). Demographic characteristics, RAI score, and operative case mix, as defined by Operative Stress Score, were similar between time periods. After BPA implementation, the proportion of frail patients referred to a primary care physician and presurgical care clinic increased significantly (9.8% vs 24.6% and 1.3% vs 11.4%, respectively; both P < .001). Multivariable regression analysis demonstrated an 18% reduction in the odds of 1-year mortality (0.82; 95% CI, 0.72-0.92; P < .001). Interrupted time series models demonstrated a significant slope change in the rate of 365-day mortality from 0.12% in the preintervention period to -0.04% in the postintervention period. Among patients triggering the BPA, estimated 1-year mortality changed by -4.2% (95% CI, -6.0% to -2.4%). Conclusions and Relevance: This quality improvement study found that implementation of an RAI-based FSI was associated with increased referrals of frail patients for enhanced presurgical evaluation. These referrals translated to a survival advantage among frail patients of similar magnitude to those observed in a Veterans Affairs health care setting, providing further evidence for both the effectiveness and generalizability of FSIs incorporating the RAI.

Institution of Standardized Consultation Criteria to Increase Early Palliative Care Utilization in Older Patients With Acute Leukemia.

PURPOSE: Older patients with acute leukemia (AL) have a high symptom burden and poor prognosis. Although integration of palliative care (PC) with oncologic care has been shown to improve quality-of-life and end-of-life care in patients with AL, the malignant hematologists at our tertiary care hospital make limited use of PC services and do so late in the disease course. Using the Plan-Do-Study-Act (PDSA) methodology, we aimed to increase early PC utilization by older patients with newly diagnosed AL. METHODS: We instituted the following standardized criteria to trigger inpatient PC consultation: (1) age 70 years and older and (2) new AL diagnosis within 8 weeks. PC consultations were tracked during sequential PDSA cycles in 2021 and compared with baseline rates in 2019. We also assessed the frequency of subsequent PC encounters in patients who received a triggered inpatient PC consult. RESULTS: The baseline PC consultation rate before our intervention was 55%. This increased to 77% and 80% during PDSA cycles 1 and 2, respectively. The median time from diagnosis to first PC consult decreased from 49 days to 7 days. Among patients who received a triggered PC consult, 43% had no subsequent inpatient or outpatient PC encounter after discharge. CONCLUSION: Although standardized PC consultation criteria led to earlier PC consultation in older patients with AL, it did not result in sustained PC follow-up throughout the disease trajectory. Future PDSA cycles will focus on identifying strategies to maintain the integration of PC with oncologic care over time, particularly in the ambulatory setting.

Implementing a Discharge Follow-up Phone Call Program Reduces Readmission Rates in an Integrated Health System.

ABSTRACT: In this study, we sought to determine the effect of implementing a large-scale discharge follow-up phone call program on hospital readmission rates. Previous work has shown that patients with unaddressed concerns during discharge have significantly higher rates of care complications and hospital readmissions. This study is an observational quality improvement project completed from April 17, 2020 to January 31, 2022 at 22 hospitals in a large, integrated academic health system. A nurse-led scripted discharge follow-up phone call program was implemented to contact all patients discharged from inpatient care within 72 hours of discharge. Readmission rates were tracked before and after project implementation. Over a 21-month span, 137,515 phone calls were placed, and 57.92% of patients were successfully contacted within 7 days of discharge. The 7-day readmission rate for contacted patients was 2.91% compared with 4.73% for noncontacted patients. The 30-day readmission rate for contacted patients was 11.00% compared with 12.17% for noncontacted patients. We have found that discharge follow-up phone calls targeting patients decreases risk of readmission, which improves overall patient outcomes.

Molecular characterization of MSI-H colorectal cancer by MLHI promoter methylation, immunohistochemistry, and mismatch repair germline mutation screening.

Microsatellite instability (MSI) occurs in 10% to 20% of colorectal cancers (CRC) and has been attributed to both MLH1 promoter hypermethylation and germline mutation in the mismatch repair (MMR) genes. We present results from a large population- and clinic-based study of MLH1 methylation, immunohistochemistry, and MMR germline mutations that enabled us to (a) estimate the prevalence of MMR germline mutations and MLH1 methylation among MSI-H cases and help us understand if all MSI-H CRC is explained by these mechanisms and (b) estimate the associations between MLH1 methylation and sex, age, and tumor location within the colon. MLH1 methylation was measured in 1,061 population-based and 172 clinic-based cases of CRC. Overall, we observed MLH1 methylation in 60% of population-based MSI-H cases and in 13% of clinic-based MSI-H cases. Within the population-based cases with MMR mutation screening and conclusive immunohistochemistry results, we identified a molecular event in MMR in 91% of MSI-H cases: 54% had MLH1 methylation, 14% had a germline mutation in a MMR gene, and 23% had immunohistochemistry evidence for loss of a MMR protein. We observed a striking age difference, with the prevalence of a MMR germline mutation more than 4-fold lower and the prevalence of MLH1 methylation more than 4-fold higher in cases diagnosed after the age of 50 years than in cases diagnosed before that age. We also determined that female sex is an independent predictor of MLH1 methylation within the MSI-H subgroup. These results reinforce the importance of distinguishing between the underlying causes of MSI in studies of etiology and prognosis.

Effect of wine on carotid atherosclerosis in type 2 diabetes: a 2-year randomized controlled trial.

BACKGROUND/OBJECTIVES: The progression of carotid-plaque volume in patients with type 2 diabetes is common. Previous observational studies showed an association between moderate alcohol and reduced risk of coronary disease. We examined whether consuming moderate wine affects the progression of carotid atherosclerosis. SUBJECTS/METHODS: In the CASCADE (CArdiovaSCulAr Diabetes and Ethanol), a 2-year randomized controlled trial, we randomized abstainers with type 2 diabetes were to drink 150 ml of either red wine, white wine, or water, provided for 2 years. In addition, groups were guided to maintain a Mediterranean diet. We followed 2-year changes in carotid total plaque volume (carotid-TPV) and carotid vessel wall volume (carotid-VWV), using three-dimensional ultrasound. RESULTS: Carotid images were available from 174 of the 224 CASCADE participants (67% men; age = 59 yr; HbA1C = 6.8%). Forty-five percent had detectable plaque at baseline. After 2 years, no significant progression in carotid-TPV was observed (water, -1.4 (17.0) mm3, CI (-2.7, 5.5), white-wine, -1.2 (16.9) mm3, CI (-3.8, 6.2), red wine, -1.3 (17.6) mm3, CI (-3.4, 6.0; p = 0.9 between groups)). In post hoc analysis, we divided the 78 participants with detectable baseline carotid plaque into tertiles. Those with the higher baseline plaque burden, whom were assigned to drink wine, reduced their plaque volume significantly after 2 years, as compared to baseline. Two-year reductions in Apo(B)/Apo(A) ratio(s) were independently associated with regression in carotid-TPV (ß = 0.4; p < 0.001). Two-year decreases in systolic blood pressure were independently associated with regression in carotid-VWV (ß = 0.2; p = 0.005). CONCLUSIONS: No progression in carotid-TPV was observed. In subgroup analyses, those with the greatest plaque burden assigned to drink wine may have had a small regression of plaque burden.