Postoperative complications and mortality: Are they unavoidable?

Combining Spirometry and the ARISCAT Respiratory Risk Assessment Can Improve Postoperative Outcomes and Reduce Mortality Risk in Mexico

Introduction

Although a major goal of preoperative evaluation is to identify risk factors and improve postoperative outcomes, current clinical guidelines in Mexico indicate that preoperative spirometry should only be performed on patients with pulmonary disease. The aim of this study was to compare the incidence of postoperative complications (POC), mortality, and risk factors among adults who did or did not undergo preoperative spirometry, based on their Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) risk level.

Material and methods

An observational, retrospective and comparative study design was used to identify 2059 patients from the General Hospital of Mexico who had an ARISCAT assessment during 2013-2017. Patients were classified in two groups: ARISCAT with spirometry (n = 1306) and ARISCAT without spirometry (n = 753). Chi-square, Fisher's exact test and the Student's t-tests were used to compare groups. Logistic regression was used to identify factors associated with an increased risk of POC and mortality.

Results

In the ARISCAT with spirometry group, 11% of patients had POC, compared with 48% of patients in the ARISCAT without spirometry group. High-risk ARISCAT patients who did not receive spirometry had higher mortality (18%), than those who underwent spirometry (0.4%). Logistic regression results indicate that not performing preoperative spirometry increases the probability of POC and mortality.

Conclusions

Our findings suggest that the combined use of preoperative spirometry and ARISCAT is associated with reduced POC and mortality. Future clinical guidelines should recommend the use of preoperative spirometry for patients with a moderate or high ARISCAT level in Mexico.

Postoperative Complications in Emergency Surgeries at a Referral Hospital in Eastern Venezuela

Background Postoperative complications (POC) are undesirable consequences of surgery and are a major area of concern adversely affecting the quality of surgical care and patient safety. Emergency surgery has been observed to have a higher incidence of different POC. The analysis of POC is of great importance due to their impact on the quality of life of patients and because they have become an indicator to measure the quality of hospital services. Objective This study aimed to describe the POC of emergency surgeries in patients from the general surgery department of a referral hospital in eastern Venezuela. Methodology A cross-sectional retrospective study was conducted, including patients undergoing emergency surgery at "Dr. Luis Razetti" University Hospital, Barcelona, Venezuela, between November 2022 and May 2023. Results Medical records of 178 patients were analyzed. Most were male (53.7%), with an average age of 34.98 and a standard deviation of 18.2 years. POC was registered in 28 (15.7%) patients, with surgical site infection being the most common in 21 (39.62%) patients. Those over 65 years old (21.4% vs. 6.4%, p=0.013), patients with a history of hypertension (25% vs. 6.3%, p=0.002), hypoalbuminemia (100% vs. 43.8%, p=0.027), diagnosed with peritonitis due to hollow viscus perforation (21.4% vs. 6%, p=0.007), trauma (25% vs. 9.3%, p=0.018), and those with a midline incision (75% vs. 31.3%, p<0.001) had a higher frequency of POC. There was a mortality rate of 2.8% with no significant difference based on the development of POC. Conclusion POC represents a significant cause of morbidity and mortality in patients undergoing emergency surgeries. The studied sample showed a similar frequency of POC compared to previous reports but with lower mortality. Complications were associated with higher frequencies of hypertension, midline approach, hypoalbuminemia, and emergency surgery for peritonitis due to hollow viscus perforation and trauma.

Requirements for hospitals in Japan to have low operative mortality and failure-to-rescue rates

Aim

We explored institutional factors in Japan associated with lower operative mortality and failure-to-rescue (FTR) rates for eight major gastrointestinal procedures.

Methods

A 22-item online questionnaire was sent to 2119 institutional departments (IDs) to examine the association between institutional factors and operative mortality and FTR rates. IDs were classified according to the number of annual surgeries, board certification status, and locality. In addition, the top 20% and bottom 20% of IDs were identified based on FTR rates and matched with the results of the questionnaire survey. Factors associated with operative mortality were selected by multivariate analysis.

Results

Of the 1083 IDs that responded to the questionnaire, 568 (213 382 patients) were included in the analysis. Operative morbidity, operative mortality, and FTR rates in the top 20% and bottom 20% of IDs were 13.1% and 8.4% (p < 0.001), 0.52% and 4.3% (p < 0.001), and 4.0% and 51.2% (p < 0.001), respectively. Based on the patients' background characteristics, the top 20% of IDs handled more advanced cases. No significant difference in locality was seen between better or worse hospital FTR rates, but fewer esophagectomies, hepatectomies, and pancreatoduodenectomies were performed in depopulated areas. Six items were found to be associated with operative mortality by multivariate logistic analysis. Only 50 (8.8%) IDs met all five factors related to better FTR rates.

Conclusions

The present findings indicate that several hospital factors surrounding surgical treatment, characterized by abundant human resources, are closely related to better postoperative recovery from severe complications.

Machine Learning Approaches for the Image-Based Identification of Surgical Wound Infections: Scoping Review

BACKGROUND

Surgical site infections (SSIs) occur frequently and impact patients and health care systems. Remote surveillance of surgical wounds is currently limited by the need for manual assessment by clinicians. Machine learning (ML)-based methods have recently been used to address various aspects of the postoperative wound healing process and may be used to improve the scalability and cost-effectiveness of remote surgical wound assessment.

OBJECTIVE

The objective of this review was to provide an overview of the ML methods that have been used to identify surgical wound infections from images.

METHODS

We conducted a scoping review of ML approaches for visual detection of SSIs following the JBI (Joanna Briggs Institute) methodology. Reports of participants in any postoperative context focusing on identification of surgical wound infections were included. Studies that did not address SSI identification, surgical wounds, or did not use image or video data were excluded. We searched MEDLINE, Embase, CINAHL, CENTRAL, Web of Science Core Collection, IEEE Xplore, Compendex, and arXiv for relevant studies in November 2022. The records retrieved were double screened for eligibility. A data extraction tool was used to chart the relevant data, which was described narratively and presented using tables. Employment of TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) guidelines was evaluated and PROBAST (Prediction Model Risk of Bias Assessment Tool) was used to assess risk of bias (RoB).

RESULTS

In total, 10 of the 715 unique records screened met the eligibility criteria. In these studies, the clinical contexts and surgical procedures were diverse. All papers developed diagnostic models, though none performed external validation. Both traditional ML and deep learning methods were used to identify SSIs from mostly color images, and the volume of images used ranged from under 50 to thousands. Further, 10 TRIPOD items were reported in at least 4 studies, though 15 items were reported in fewer than 4 studies. PROBAST assessment led to 9 studies being identified as having an overall high RoB, with 1 study having overall unclear RoB.

CONCLUSIONS

Research on the image-based identification of surgical wound infections using ML remains novel, and there is a need for standardized reporting. Limitations related to variability in image capture, model building, and data sources should be addressed in the future.

Management of hospital admission, patient information and education, and immediate preoperative care

An increasing proportion of surgical procedures involves elderly and frail patients in high-income countries, leading to an increased risk of postoperative complications. Complications significantly impact patient outcomes and costs, due to prolonged hospitalization and loss of autonomy. Consequently, it is crucial to evaluate preoperative functional status in older patients, to tailor the perioperative plan, and evaluate risks. The hospital environment often exacerbates cognitive impairments in elderly and frail patients, also increasing the risk of infection, falls, and malnutrition. Thus, it is essential to work on dedicated pathways to reduce hospital readmissions and favor discharges to a familiar environment. In this context, the use of wearable devices and telehealth has been promising. Telemedicine can be used for preoperative evaluations and to allow earlier discharges with continuous monitoring. Wearable devices can track patient vitals both preoperatively and postoperatively. Preoperative education of patient and caregivers can improve postoperative outcomes and is favored by technology-based approach that increases flexibility and reduce the need for in-person clinical visits and associated travel; moreover, such approaches empower patients with a greater understanding of possible risks, moving toward shared decision-making principles. Finally, caregivers play an integral role in patient improvement, for example, in the prevention of delirium. Hence, their inclusion in the care process is not only advantageous but essential to improve perioperative outcomes in this population.

Open conversion after failed endovascular aneurysm repair is increasing and its 30-day mortality is higher than that after primary open repair

BACKGROUND

Endovascular aneurysm repair (EVAR) has become the preferred treatment of abdominal aortic aneurysms (AAAs). Recent studies have demonstrated that cases of EVAR failure repair and subsequent open conversion have increased. The aim of the present study was to evaluate the national trend of annual cases and assess the 30-day outcomes of conversion to open repair after failed EVAR compared with primary open repair.

METHODS

The National Surgical Quality Improvement Program database was queried for relevant Current Procedural Terminology and International Classification of Diseases, Ninth and Tenth Revision, codes to identify patients who had undergone conversion to open repair or primary open repair of nonruptured AAAs from 2009 to 2018. The annual trend of cases was assessed, and the perioperative outcomes of both procedures were compared. Multivariable logistic regression analyses were conducted to identify independent perioperative factors associated with mortality.

RESULTS

Of the 9635 patients with nonruptured AAAs included in the present analysis, 9250 had undergone primary repair and 385 had required open conversion. During the 10-year period, the annual number of cases of open conversion had steadily increased and that of primary repair had decreased. The incidence of postoperative complications was similar between both groups, except for cardiac arrest, which had occurred more frequently in the open conversion group. The 30-day mortality was higher in the open conversion group than in the primary group (9.6% vs 3.9%; P < .0001). Open conversion was also independently associated with higher odds of death (adjusted odds ratio [OR], 2.1; 95% confidence interval [CI], 1.8-2.4; P < .0001). When the average mortality in both groups was compared between the first and last 5 years, no difference was found (open conversion: 9.8% vs 9.5% [P = 1.00]; primary repair: 3.6% vs 4.2% [P = .19]). Other perioperative factors independently associated with mortality included increased age (OR, 1.8; 95% CI, 1.5-2.1; P < .0001), American Society of Anesthesiologists class ≥III (OR, 2.7; 95% CI, 1.1-6.6; P = .029), insulin-dependent diabetes (OR, 2.0; 95% CI, 1.2-3.3; P = .005), chronic obstructive pulmonary disease (OR, 1.4; 95% CI, 1.1-1.8; P = .006), the presence of dyspnea at rest (OR, 3.3; 95% CI, 1.8-6.1; P < .0001), and a high preoperative hematocrit (OR, 0.94; 95% CI, 0.93-0.97; P < .0001).

CONCLUSIONS

Open conversion to treat nonruptured AAAs after failed EVAR was independently associated with higher mortality. Also, the annual cases of open conversion have continued to increase without any significant changes in postoperative mortality. This highlights the danger of open conversion and stresses the need for better solutions to prevent and manage EVAR failure.

The Marsden Morbidity Index: the derivation and validation of a simple risk index scoring system using cardiopulmonary exercise testing variables to predict morbidity in high-risk patients having major cancer surgery

Background

Morbidity and mortality risk prediction tools are increasingly being used as part of preoperative assessment of patients presenting for major abdominal surgery. Cardiopulmonary exercise testing (CPET) can predict which patients undergoing major abdominal surgery are at risk of complications. The primary objective of this study was to identify preoperative variables including those derived from CPET, which were associated with inpatient morbidity in high-risk patients following major abdominal cancer surgery. The secondary objective was to use these variables to derive and validate a morbidity risk prediction tool.

Methods

We conducted a retrospective cohort analysis of consecutive adult patients who had CPET as part of their preoperative work-up for major abdominal cancer surgery. Morbidity was a composite outcome, defined by the Clavien-Dindo score and/or the postoperative morbidity survey (POMS) score which was assessed on postoperative day 7. A risk prediction tool was devised using variables from the first analysis which was then applied prospectively to a matched cohort of patients.

Results

A total of 1398 patients were included in the first phase of the analysis between June 2010 and May 2017. Of these, 540 patients (38.6%) experienced postoperative morbidity. CPET variables deemed significant (p < 0.01) were anaerobic threshold (AT), maximal oxygen consumption at maximal exercise capacity (VO2 max), and ventilatory equivalent for carbon dioxide at anaerobic threshold (AT VE/VCO2). In addition to the CPET findings and the type of surgery the patient underwent, eight preoperative variables that were associated with postoperative morbidity were identified. These include age, WHO category, body mass index (BMI), prior transient ischaemic attack (TIA) or stroke, chronic renal impairment, diabetes mellitus, chronic obstructive pulmonary disease (COPD), and cancer stage. Both sets of variables were then combined to produce a validated morbidity risk prediction scoring tool called the Marsden Morbidity Index. In the second phase of the analysis, this tool was applied prospectively to 424 patients between June 2017 and December 2018. With an area under the curve (AUC) of 0.79, this new model had a sensitivity of 74.2%, specificity of 78.1%, a positive predictive value (PPV) of 79.7%, and a negative predictive value of (NPV) of 79%.

Conclusion

Our study showed that of the CPET variables, AT, VO2 max, and AT VE/VCO2 were shown to be associated with postoperative surgical morbidity following major abdominal oncological surgery. When combined with a number of preoperative comorbidities commonly associated with increased risk of postoperative morbidity, we created a useful institutional scoring system for predicting which patients will experience adverse events. However, this system needs further validation in other centres performing oncological surgery.

Regional variation in post-operative mortality in New Zealand

Background

There is a growing body of evidence that access to best practice perioperative care varies within our population. In this study, we use national‐level data to begin to address gaps in our understanding of regional variation in post‐operative outcomes within New Zealand.

Methods

Using National Collections data, we examined all inpatient procedures in New Zealand public hospitals between 2005 and 2017 (859 171 acute, 2 276 986 elective/waiting list), and identified deaths within 30 days. We calculated crude and adjusted rates per 100 procedures for the 20 district health boards (DHBs), both for the total population and stratified by ethnicity (Māori/European). Odds ratios comparing the risk of post‐operative mortality between Māori and European patients were calculated using crude and adjusted Poisson regression models.

Results

We observed regional variations in post‐operative mortality outcomes. Māori, compared to European, patients experienced higher post‐operative mortality rates in several DHBs, with a trend to higher mortality in almost all DHBs. Regional variation in patterns of age, procedure, deprivation and comorbidity (in particular) largely drives regional variation in post‐operative mortality, although variation persists in some regions even after adjusting for these factors. Inequitable outcomes for Māori also persist in several regions despite adjustment for multiple factors, particularly in the elective setting.

Conclusions

The persistence of variation and ethnic disparities in spite of adjustment for confounding and mediating factors suggests that multiple regions require additional resource and support to improve outcomes. Efforts to reduce variation and improve outcomes for patients will require both central planning and monitoring, as well as region‐specific intervention.

The effects of cardiovascular and orthopaedic surgery on vitamin concentrations: a narrative review of the literature and mechanisms of action

Given the rise in worldwide chronic diseases, supplemented by an aging population, the volume of global major surgeries, encompassing cardiac and orthopedic procedures is anticipated to surge significantly. Surgical trauma can be accompanied by numerous postoperative complications and metabolic changes. The present review summarized the results from studies assessing the effects of orthopedic and cardiovascular surgery on vitamin concentrations, in addition to exploring the possible mechanisms associated with changes in concentrations. Studies have revealed a potentially severe depletion in plasma/serum concentrations of numerous vitamins following these surgeries acutely. Vitamins C, D and B1 appear particularly vulnerable to significant depletions, with vitamin C and D depletions consistently transpiring into inadequate and deficient concentrations, respectively. The possible multifactorial mechanisms impacting postoperative vitamin concentrations include changes in hemodilution and vitamin utilization, redistribution, circulatory transport and absorption. For a majority of vitamins, there has been a lack of investigation into the effects of both, cardiac and orthopedic surgery. Additionally, studies were predominantly restricted to short-term postoperative investigations, primarily performed within the first postoperative week of surgery. Overall, results indicated that further examination is necessary to determine the severity and clinical significance of the possible depletions in vitamin concentrations that ensue cardiovascular and orthopedic surgery.

The incidence, risk factors, and new prediction score for fluorescence abnormalities of near-infrared imaging using indocyanine green in laparoscopic low anterior resection for rectal cancer

PURPOSE

Several studies have reported the efficacy of near-infrared imaging using indocyanine green in laparoscopic low anterior resection (LAR), but a detailed examination of its fluorescence abnormalities is still insufficient. The purpose of this study was to clarify the incidence of fluorescence abnormalities and to create a new prediction score in laparoscopic LAR.

METHODS

This was a retrospective, multicenter study that included patients with rectal cancer who underwent laparoscopic LAR from September 2014 to November 2018.

RESULTS

A total of 336 patients were included. The transection line was changed due to fluorescence abnormalities in 5.4% (18/336) of cases, and the median length of additional resection was 70 mm. Anastomotic leakage of Clavien-Dindo grade ≥ II occurred in 6.0% (20/336). The gender and the intraoperative pre-planned proximal margin (IpPM) were significant factors for fluorescence abnormalities. We devised the fluorescence abnormality prediction score (FAPS) derived from the gender, IpPM, and tumor height from the anal verge (TumorAV). The area under the curve of the FAPS was 0.784 (95% CI: 0.677-0.891). When the cutoff was 4, the sensitivity was 0.833, and the specificity was 0.626. The preoperative pre-planned proximal margin (PpPM) was calculated as follows: PpPM (mm) = 189 (mm) - TumorAV (mm) + 61 × Male (1/0). The proximal margin should be set to be larger than the PpPM to avoid fluorescence abnormalities.

CONCLUSION

The incidence of fluorescence abnormalities in laparoscopic LAR was 5.4%. If the FAPS is used, the PpPM may be set from the viewpoint of the blood perfusion.

TRIAL REGISTRATION

Japanese Clinical Trials Registry: UMIN000032654 ( http://www.umin.ac.jp/ctr/index.htm ).

Machine learning predicts unpredicted deaths with high accuracy following hepatopancreatic surgery

Background

Machine learning to predict morbidity and mortality-especially in a population traditionally considered low risk-has not been previously examined. We sought to characterize the incidence of death among patients with a low estimated morbidity and mortality risk based on the National Surgical Quality Improvement Program (NSQIP) estimated probability (EP), as well as develop a machine learning model to identify individuals at risk for "unpredicted death" (UD) among patients undergoing hepatopancreatic (HP) procedures.

Methods

The NSQIP database was used to identify patients who underwent elective HP surgery between 2012-2017. The risk of morbidity and mortality was stratified into three tiers (low, intermediate, or high estimated) using a k-means clustering method with bin sorting. A machine learning classification tree and multivariable regression analyses were used to predict 30-day mortality with a 10-fold cross validation. C statistics were used to compare model performance.

Results

Among 63,507 patients who underwent an HP procedure, median patient age was 63 (IQR: 54-71) years. Patients underwent either pancreatectomy (n=38,209, 60.2%) or hepatic resection (n=25,298, 39.8%). Patients were stratified into three tiers of predicted morbidity and mortality risk based on the NSQIP EP: low (n=36,923, 58.1%), intermediate (n=23,609, 37.2%) and high risk (n=2,975, 4.7%). Among 36,923 patients with low estimated risk of morbidity and mortality, 237 patients (0.6%) experienced a UD. According to the classification tree analysis, age was the most important factor to predict UD (importance 16.9) followed by preoperative albumin level (importance: 10.8), disseminated cancer (importance: 6.5), preoperative platelet count (importance: 6.5), and sex (importance 5.9). Among patients deemed to be low risk, the c-statistic for the machine learning derived prediction model was 0.807 compared with an AUC of only 0.662 for the NSQIP EP.

Conclusions

A prognostic model derived using machine learning methodology performed better than the NSQIP EP in predicting 30-day UD among low risk patients undergoing HP surgery.

Defining Major Surgery: A Delphi Consensus Among European Surgical Association (ESA) Members

BACKGROUND

Major surgery is a term frequently used but poorly defined. The aim of the present study was to reach a consensus in the definition of major surgery within a panel of expert surgeons from the European Surgical Association (ESA).

METHODS

A 3-round Delphi process was performed. All ESA members were invited to participate in the expert panel. In round 1, experts were inquired by open- and closed-ended questions on potential criteria to define major surgery. Results were analyzed and presented back anonymously to the panel within next rounds. Closed-ended questions in round 2 and 3 were either binary or statements to be rated on a Likert scale ranging from 1 (strong disagreement) to 5 (strong agreement). Participants were sent 3 reminders at 2-week intervals for each round. 70% of agreement was considered to indicate consensus.

RESULTS

Out of 305 ESA members, 67 (22%) answered all the 3 rounds. Significant comorbidities were the only preoperative factor retained to define major surgery (78%). Vascular clampage or organ ischemia (92%), high intraoperative blood loss (90%), high noradrenalin requirements (77%), long operative time (73%) and perioperative blood transfusion (70%) were procedure-related factors that reached consensus. Regarding postoperative factors, systemic inflammatory response (76%) and the need for intensive or intermediate care (88%) reached consensus. Consequences of major surgery were high morbidity (>30% overall) and mortality (>2%).

CONCLUSION

ESA experts defined major surgery according to extent and complexity of the procedure, its pathophysiological consequences and consecutive clinical outcomes.

Assessment of hospital quality and safety standards among Medicare beneficiaries undergoing surgery for cancer

BACKGROUND

We sought to assess the relationship between Leapfrog minimum volume standards, Hospital Safety Grades, and Magnet recognition with outcomes among patients undergoing rectal, lung, esophageal, and pancreatic resection for cancer.

METHODS

Standard Analytical Files linked with the Leapfrog Hospital Survey and the Leapfrog Safety Scores Denominator Files were used to identify Medicare patients who underwent surgery for cancer from 2016 to 2017. Multivariable logistic regression analysis was used to examine textbook outcomes relative to Leapfrog volume, safety grades, and Magnet recognition.

RESULTS

Among 26,268 Medicare beneficiaries, 7,491 (28.5%) were treated at hospitals meeting the quality trifactor (Leapfrog, safety grade A, and Magnet recognition) vs 18,777 (71.5%) at hospitals not meeting ≥1 designation. Patients at trifactor hospitals had lower odds of complications (odds ratio = 0.83, 95% confidence interval: 0.76-0.89), prolonged duration of stay (odds ratio = 0.89, 95% confidence interval: 0.82-0.97), and higher odds of experiencing textbook outcome (odds ratio = 1.12, 95% confidence interval: 1.06-1.19). Patients undergoing surgery for lung (odds ratio = 1.19, 95% confidence interval: 1.10-1.30) and pancreatic cancer (odds ratio = 1.37, 95% confidence interval: 1.21-1.55) at trifactor hospitals had higher odds of textbook outcome, whereas this effect was not noted after esophageal (odds ratio = 1.16, 95% confidence interval: 0.90-1.48) or rectal cancer (odds ratio = 1.11, 95% confidence interval: 0.98-1.27) surgery. Leapfrog minimum volume standards mediated the effect of the quality trifactor on patient outcomes.

CONCLUSION

Quality trifactor hospitals had better short-term outcomes after lung and pancreatic cancer surgery compared with nontrifactor hospitals.

Postoperative mortality in New Zealand following general anaesthetic: demographic patterns and temporal trends

OBJECTIVES

In this manuscript, we describe broad trends in postoperative mortality in New Zealand (a country with universal healthcare) for acute and elective/waiting list procedures conducted between 2005 and 2017.

DESIGN, PARTICIPANTS AND SETTING

We use high-quality national-level hospitalisation data to compare the risk of postoperative mortality between demographic subgroups after adjusting for key patient-level confounders and mediators. We also present temporal trends and consider how rates in postoperative death following acute and elective/waiting list procedures have changed over this time period.

RESULTS AND CONCLUSION

A total of 1 836 683 unique patients accounted for 3 117 374 admissions in which a procedure was performed under general anaesthetic over the study period. We observed an overall 30-day mortality rate of 0.5 per 100 procedures and a 90-day mortality rate of 0.9 per 100. For acute procedures, we observed a 30-day mortality rate of 1.6 per 100, compared with 0.2 per 100 for elective/waiting list procedures. In terms of procedure specialty, respiratory and cardiovascular procedures had the highest rate of 30-day mortality (age-standardised rate, acute procedures: 3-6 per 100; elective/waiting list: 0.7-1 per 100). As in other contexts, we observed that the likelihood of postoperative death was not proportionally distributed within our population: older patients, Māori patients, those living in areas with higher deprivation and those with comorbidity were at increased risk of postoperative death, even after adjusting for all available factors that might explain differences between these groups. Increasing procedure risk (measured using the Johns Hopkins Surgical Risk Classification System) was also associated with an increased risk of postoperative death. Encouragingly, it appears that risk of postoperative mortality has declined over the past decade, possibly reflecting improvements in perioperative quality of care; however, this decline did not occur equally across procedure specialties.

Definition and assessment of frailty in older patients: the surgical, anaesthesiological and oncological perspective

The number of oncology, surgery and anaesthesia procedures in older patients has greatly increased in recent years due to ageing populations. Older patients are typically characterised by physical changes such as comorbidities, decline in physiological activities and cognitive impairment. All these factors, together with polypharmacological therapies, may substantially impact perioperative outcome, quality of recovery and, more in general, quality of life. A comprehensive multidisciplinary approach to perioperative care is thus needed. The assessment of frailty has a central role in the pre-operative evaluation of older patients and, with a multidisciplinary approach. The best surgical procedures and oncologic therapies can be accurately discussed in the pre- and post-operative periods. All clinicians involved in this scenario should be proactive in multidisciplinary care to achieve better outcomes.

Achieving the High-Value Colectomy: Preventing Complications or Improving Efficiency

BACKGROUND

There is increased focus on the value of surgical care. Postoperative complications decrease value, but it is unknown whether high-value hospitals spend less than low-value hospitals in cases without complications. Previous studies have not evaluated both expenditures and validated outcomes in the same patients, limiting the understanding of interactions between clinical performance, efficient utilization of services, and costliness of surgical episodes.

OBJECTIVE

This study aimed to identify payment differences between low- and high-value hospitals in colectomy cases without adverse outcomes using a linked data set of multipayer claims and validated clinical outcomes.

DESIGN

This is a retrospective observational cohort study. We assigned each hospital a value score (ratio of cases without adverse outcome to mean episode payment). We stratified hospitals into tertiles by value and used analysis of variance tests to compare payments between low- and high-value hospitals, first for all cases, and then cases without adverse outcome.

SETTING

January 2012 to December 2016, this investigation used clinical registry data from 56 hospitals participating in the Michigan Surgical Quality Collaborative, linked with 30-day episode payments from the Michigan Value Collaborative.

PATIENTS

A total of 2947 patients undergoing elective colectomy were selected.

MAIN OUTCOME MEASURES

The primary outcome measured was risk-adjusted, price-standardized 30-day episode payments.

RESULTS

The mean adjusted complication rate was 31% (±10.7%) at low-value hospitals and 14% (±4.6%) at high-value hospitals (p < 0.001). Low-value hospitals were paid $3807 (17%) more than high-value hospitals ($22,271 vs $18,464, p < 0.001). Among cases without adverse outcome, payments were still $2257 (11%) higher in low-value hospitals ($19,424 vs $17,167, p = 0.04).

LIMITATIONS

This study focused on outcomes and did not consider processes of care as drivers of value.

CONCLUSIONS

In elective colectomy, high-value hospitals achieve lower episode payments than low-value hospitals for cases without adverse outcome, indicating mechanisms for increasing value beyond reducing complications. Worthwhile targets to optimize value in elective colectomy may include enhanced recovery protocols or other interventions that increase efficiency in all phases of care. See Video Abstract at http://links.lww.com/DCR/B56. LOGRANDO LA COLECTOMÍA DE ALTO VALOR: PREVINIENDO COMPLICACIONES O MEJORANDO LA EFICIENCIA: Hay un mayor enfoque en el valor de la atención quirúrgica. Las complicaciones postoperatorias disminuyen el valor, pero se desconoce si en los casos sin complicaciones, los hospitales de alto valor gastan menos que los hospitales de bajo valor. Estudios anteriores no han evaluado ambos gastos y validado resultados en los mismos pacientes, limitando la comprensión de las interacciones entre el rendimiento clínico, utilización eficiente de los servicios y costos de los episodios quirúrgicos.Identificar las diferencias de pago entre los hospitales de alto y bajo valor, en casos de colectomía sin resultados adversos, utilizando un conjunto de datos vinculados de reclamos de pago múltiple y resultados clínicos validados.Estudio de cohorte observacional retrospectivo. Asignamos a cada hospital una puntuación de valor (proporción de casos sin resultado adverso al pago medio del episodio). Estratificamos los hospitales por valor en terciles y utilizamos el análisis de pruebas de varianza para comparar los pagos entre hospitales de bajo y alto valor, primero para todos los casos y luego casos sin resultados adversos.De enero del 2012 a diciembre del 2016, utilizando datos de registro clínico de 56 hospitales que participan en el Michigan Surgical Quality Collaborative, vinculado con pagos de episodios de 30 días, del Michigan Value Collaborative.Un total de 2947 pacientes con colectomía electiva.Pagos por episodio de 30 días, ajustados al riesgo y estandarizados por precio.La tasa media de complicación ajustada fue de 31% (±10.7%) en hospitales de bajo valor y 14% (±4.6%) en hospitales de alto valor (p < 0.001). A los hospitales de bajo valor se les pagó $3807 (17%) más que a los hospitales de alto valor ($22,271 frente a $18,464, p < 0.001). Entre los casos sin resultados adversos, los pagos fueron de $2257 (11%) más altos en hospitales de bajo valor ($19,424 vs $17,167, p = 0.04).Este estudio se centró en los resultados y no se consideraron a los procesos de atención, como impulsores de valor.En la colectomía electiva, los hospitales de alto valor logran pagos de episodios más bajos, que en los hospitales de bajo valor con casos sin resultados adversos, indicando mecanismos para aumentar el valor, más allá que la reducción de complicaciones. Objetivos valiosos para optimizar el valor de la colectomía electiva, pueden incluir mejoras en los protocolos de recuperación, así como otras intervenciones que aumenten la eficiencia en todas las fases de la atención. Vea el resumen del video en http://links.lww.com/DCR/B56.