Peri-operative blood glucose management in general surgery - a potential element for improved diabetic patient outcomes - an observational cohort study

On All Accounts: Cost-Effectiveness Analysis of Limited Preoperative Optimization Efforts Before Colon Cancer Surgery

BACKGROUND

Reports suggest that preoperative optimization of a patient's serious comorbidities is associated with a reduction in postoperative complications.

OBJECTIVE

The purpose of this study was to assess the cost and benefits of preoperative optimization, accounting for total costs associated with postoperative morbidity.

DESIGN

This study is a decision tree cost-effectiveness analysis with probabilistic sensitivity analysis (10,000 iterations).

SETTING

This is a hypothetical scenario of stage II colon cancer surgery.

PATIENT

The simulated 65-year-old patient has left-sided, stage II colon cancer.

INTERVENTION

Focused preoperative optimization targets high-risk comorbidities.

OUTCOMES

Total discounted (3%) economic costs (US $2018), effectiveness (quality-adjusted life-years), incremental cost-effectiveness ratio (incremental cost-effectiveness ratio, cost/quality-adjusted life-years gained), and net monetary benefit.

RESULTS

We calculated the per individual expected health care sector total cost of preoperative optimization and sequelae to be $12,395 versus $15,638 in those not optimized (net monetary benefit: $1.04 million versus $1.05 million). A nonoptimized patient attained an average 0.02 quality-adjusted life-years less than one optimized. Thus, preoperative optimization was the dominant strategy (lower total costs; higher quality-adjusted life-years). Probabilistic sensitivity analysis demonstrated 100% of simulations favoring preoperative optimization. The breakeven cost of optimization to remain cost-effective was $6421 per patient.

LIMITATIONS

Generalizability must account for the lack of standardization among existing preoperative optimization efforts, and decision analysis methodology provides guidance for the average patient or general population, and is not patient-specific.

CONCLUSIONS

Although currently not comprehensively reimbursed, focused preoperative optimization may reduce total costs of care while also reducing complications from colon cancer surgery. See Video Abstract at http://links.lww.com/DCR/B494.

EN TODO CASO ANLISIS DE RENTABILIDAD DE LOS ESFUERZOS LIMITADOS DE OPTIMIZACIN PREOPERATORIA ANTES DE LA CIRUGA DE CNCER DE COLON

ANTECEDENTES:Los informes sugieren que la optimización preoperatoria de las comorbilidades graves de un paciente se asocia con una reducción de las complicaciones postoperatorias.OBJETIVO:El propósito de este estudio fue evaluar el costo y los beneficios de la optimización preoperatoria, teniendo en cuenta los costos totales asociados con la morbilidad postoperatoria.DISEÑO:Análisis de costo-efectividad de árbol de decisión con análisis de sensibilidad probabilístico (10,000 iteraciones).AJUSTE ENTORNO CLINICO:Escenario hipotético Cirugía de cáncer de colon en estadio II.PACIENTE:Paciente simulado de 65 años con cáncer de colon en estadio II del lado izquierdo.INTERVENCIÓN:Optimización preoperatoria enfocada dirigida a comorbilidades de alto riesgo.RESULTADOS:Costos económicos totales descontados (3%) (US $ 2018), efectividad (años de vida ajustados por calidad [AVAC]), relación costo-efectividad incremental (ICER, costo / AVAC ganado) y beneficio monetario neto (NMB).RESULTADOS:Calculamos que el costo total esperado por sector de atención médica individual de la optimización preoperatoria y las secuelas es de $ 12,395 versus $ 15,638 en aquellos no optimizados (NMB: $ 1.04 millones versus $ 1.05 millones, respectivamente). Un paciente no optimizado alcanzó un promedio de 0.02 AVAC menos que uno optimizado. Por lo tanto, la optimización preoperatoria fue la estrategia dominante (menores costos totales; mayores AVAC). El análisis de sensibilidad probabilístico demostró que el 100% de las simulaciones favorecían la optimización preoperatoria. El costo de equilibrio de la optimización para seguir siendo rentable fue de $ 6,421 por paciente.LIMITACIONES:La generalización debe tener en cuenta la falta de estandarización entre los esfuerzos de optimización preoperatorios existentes y esa metodología de análisis de decisiones proporciona una guía para el paciente promedio o la población general, no específica del paciente.CONCLUSIONES:Si bien actualmente no se reembolsa de manera integral, la optimización preoperatoria enfocada puede reducir los costos totales de la atención y al mismo tiempo reducir las complicaciones de la cirugía de cáncer de colon. Consulte Video Resumen en http://links.lww.com/DCR/B494.

Guidelines for perioperative management of the diabetic patient. Surg Res Pract. 2015;2015:284063. [PMID: 26078998 PMCID: PMC4452499 DOI: 10.1155/2015/284063]

Management of glycemic levels in the perioperative setting is critical, especially in diabetic patients. The effects of surgical stress and anesthesia have unique effects on blood glucose levels, which should be taken into consideration to maintain optimum glycemic control. Each stage of surgery presents unique challenges in keeping glucose levels within target range. Additionally, there are special operative conditions that require distinctive glucose management protocols. Interestingly, the literature still does not report a consensus perioperative glucose management strategy for diabetic patients. We hope to outline the most important factors required in formulating a perioperative diabetic regimen, while still allowing for specific adjustments using prudent clinical judgment. Overall, through careful glycemic management in perioperative patients, we may reduce morbidity and mortality and improve surgical outcomes.

Implementation of best medical therapy for cardiovascular risk factors in vascular surgery patients treated in a tertiary referral regional unit

OBJECTIVE

Current clinical evidence reports that antiplatelet, statin, angiotensin-converting enzyme inhibitor and beta blockade therapies have advantageous effects on vascular surgery patient morbidity and mortality. Unfortunately, such patients appear to be less likely to receive optimal medical management when compared with coronary artery disease patients. This study assessed medical therapy prescribing in patients attending a regional vascular surgery unit.

METHODS

A retrospective review between February 2010 and February 2011 was performed for patients undergoing aortic aneurysm, carotid, peripheral arterial and amputation surgeries. Gender, age, smoking history, body mass index and cardiovascular risk factors were documented from inpatient charts. Current admission medications and subsequent modification by the vascular team were recorded.

RESULTS

Two hundred and forty-four patients (male = 165, mean age = 71 years) were identified. Prevalence of hypertension, hypercholesterolaemia, myocardial infarction, angina, stroke and diabetes was higher than in the general population. A total of 201 (82.3%) patients were on antiplatelets or antithrombotics upon admission to the vascular ward, which was improved to 231 (94.6%) patients on discharge. A total of 180 (73.7%) patients were on lipid-lowering therapy upon admission, which was improved to 213 (87.2%) patients on discharge. A total of 115 (47.1%) patients were on ACE-inhibitor or angiotensin 2 receptor blocker medications on admission and this was improved to 118 (48.3%) upon discharge. A total of 87 (35.6%) patients were on a beta-blocker, which was improved to 93 (38.1%) patients upon discharge.

CONCLUSION

Despite increased implementation of best medical therapy in the community with compliance rates greater than 73% for aspirin and statin therapy, further improvement is warranted. Vascular surgeons should remain vigilant for further opportunities to optimise medical therapy in this high-risk patient group particularly with antithrombotic, lipid lowering and antihypertensive therapies.