In-Hospital Mortality and Post-Surgical Complications Among Cancer Patients with Metabolic Syndrome

The effect of food deserts on gynecologic cancer survival

Objective

Living in a food desert is a known negative health risk, with recent literature finding an associated higher mortality in patients with cancers. Gynecologic cancers have not specifically been studied. We aimed to describe patients with gynecologic cancers who live in a food desert and determine if there is an association between living in a food desert and gynecologic cancer mortality.

Methods

The 2013-2019 California Cancer Registry (CCR) was used to identify patients with endometrial, ovarian, or cervical cancers. Patient residential census tract was linked to food desert census tracts identified by the 2015 United States Department of Agriculture Food Access Research Atlas. Comorbidity data were obtained from the California Office of Statewide Health Planning and Development database (OSHPD). Treatment, diagnosis, and survival outcomes were obtained from the CCR's variables and compared by food desert status. Five-year disease-specific survival was analyzed by applying Cox proportional hazards analysis.

Results

40,340 gynecologic cancer cases were identified. 60.1 % had endometrial cancer, 23.2 % had ovarian cancer, and 15.9 % had cervical cancer. The average age of the cohort was 59.4 years, 48.0 % was non-Hispanic White, 50.3 % was privately insured, and 6.8 % of lived in a food desert. Living in a food desert was associated with higher disease-specific mortality for patients with gynecologic cancers (endometrial cancer HR 1.43p < 0.001 95 % CI 1.22-1.68; ovarian cancer HR 1.47p < 0.001 95 % CI 1.27-1.69; cervical cancer HR 1.24p = 0.045 95 % CI 1.01-1.54).

Conclusion

Patients living in food deserts had worse disease-specific survival, making access to food a modifiable risk factor that may result in mitigating gynecologic cancer disparities.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai medical database

Background

Although prognostic factors associated with mortality in patients with emergency colorectal surgery have been identified, an accurate mortality risk assessment is still necessary to determine the range of therapeutic resources in accordance with the severity of patients. We established machine-learning models to predict in-hospital mortality for patients who had emergency colorectal surgery using clinical data at admission and attempted to identify prognostic factors associated with in-hospital mortality.

Methods

This retrospective cohort study included adult patients undergoing emergency colorectal surgery in 42 hospitals between 2012 and 2020. We employed logistic regression and three supervised machine-learning models: random forests, gradient-boosting decision trees (GBDT), and multilayer perceptron (MLP). The area under the receiver operating characteristics curve (AUROC) was calculated for each model. The Shapley additive explanations (SHAP) values are also calculated to identify the significant variables in GBDT.

Results

There were 8792 patients who underwent emergency colorectal surgery. As a result, the AUROC values of 0.742, 0.782, 0.814, and 0.768 were obtained for logistic regression, random forests, GBDT, and MLP. According to SHAP values, age, colorectal cancer, use of laparoscopy, and some laboratory variables, including serum lactate dehydrogenase serum albumin, and blood urea nitrogen, were significantly associated with in-hospital mortality.

Conclusion

We successfully generated a machine-learning prediction model, including GBDT, with the best prediction performance and exploited the potential for use in evaluating in-hospital mortality risk for patients who undergo emergency colorectal surgery.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

The metabolic syndrome and its components as prognostic factors in colorectal cancer: A meta-analysis and systematic review

BACKGROUND AND AIM

Metabolic syndrome (MetS) increases the risk of colorectal cancer (CRC), and the impact of MetS on CRC prognosis remains controversial after the diagnosis of CRC has been established. This study aimed to explore the impact of the individual components and synergies of MetS on the prognosis of patients with CRC.

METHODS

We searched articles published before August 3, 2022, in four databases, including PubMed, Embase, Cochrane Library, and ScienceDirect. The random-effects model inverse variance method was used to estimate the summarized effect size.

RESULTS

Patients with CRC with MetS were 1.342 times more likely to experience all-cause mortality than those without MetS, and the 95% confidence interval (CI) of hazard ratio (HR) was 1.107-1.627 (P = 0.003). CRC-specific mortality in patients with CRC with MetS was 2.122 times higher than in those without MetS, and the 95% CI of HR was 1.080-4.173 (P = 0.029). CRC-specific mortality exhibited an increasing trend of risk with increased metabolic risk factors. The HR of CRC-specific mortality for one, two, and three metabolic risk factors was 1.206 (95% CI, 1.034-1.407; P = 0.017), 1.881 (95% CI, 1.253-2.824; P = 0.002), and 2.327 (95% CI, 1.262-4.291; P = 0.007), respectively.

CONCLUSIONS

Metabolic syndrome increased all-cause and CRC-specific mortality in patients with CRC. As a single component of MetS, diabetes mellitus increased overall mortality in patients with CRC, while obesity increased CRC-specific mortality in patients with CRC, with a significant difference from non-MetS. Moreover, the risk of CRC-specific mortality increased with increasing number of metabolic risk factors.

The Effect of Metabolic Syndrome on Colorectal Cancer Prognosis after Primary Surgery

PURPOSE

The purpose of this study was to explore whether metabolic syndrome (MetS) affects the prognosis of colorectal cancer (CRC) patients after primary surgery and to analyze the effect of the specific components of MetS on CRC prognosis.

METHODS

The PubMed, Embase and Cochrane Library databases were searched from inception to July 29, 2021. Overall survival (OS) and disease-free survival (DFS) were compared between the MetS group and the non-MetS group.

RESULTS

The studies included in the meta-analysis included 4773 patients. All seven studies compared OS between the two groups, and after pooling all hazard ratios (HRs), no significant difference was found between the MetS group and the non-MetS group (HR = 1.17, 95% CI = 0.91 to 1.49, P = 0.21). Four studies compared DFS between the MetS group and the non-MetS group after pooling all the HRs, and there was no difference between the MetS group and the non-MetS group (HR = 1.05, 95% CI = 0.74 to 1.49, P = 0.21). Among the specific components of MetS, high fasting plasma glucose levels (HR = 1.25, 95% CI = 1.00 to 1.58, P = 0.05) had a marginally significant association with poor OS.

CONCLUSION

MetS may not affect the prognosis of CRC after primary surgery. However, high fasting plasma glucose levels might contribute to poor OS.

Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept study

Objectives

Hospitalized patients with severe obesity require adapted hospital management. The aim of this study was to evaluate a machine learning model to predict in-hospital mortality among this population.

Methods

Data of unselected consecutive emergency department admissions of hospitalized patients with severe obesity (BMI ≥ 40 kg/m2) was analyzed. Data was retrieved from five hospitals from the Mount Sinai health system, New York. The study time frame was between January 2011 and December 2019. Data was used to train a gradient-boosting machine learning model to identify in-hospital mortality. The model was trained and evaluated based on the data from four hospitals and externally validated on held-out data from the fifth hospital.

Results

A total of 14,078 hospital admissions of inpatients with severe obesity were included. The in-hospital mortality rate was 297/14,078 (2.1%). In univariate analysis, albumin (area under the curve [AUC] = 0.77), blood urea nitrogen (AUC = 0.76), acuity level (AUC = 0.73), lactate (AUC = 0.72), and chief complaint (AUC = 0.72) were the best single predictors. For Youden's index, the model had a sensitivity of 0.77 (95% CI: 0.67-0.86) with a false positive rate of 1:9.

Conclusion

A machine learning model trained on clinical measures provides proof of concept performance in predicting mortality in patients with severe obesity. This implies that such models may help to adopt specific decision support tools for this population.

Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Obesity as a mortality risk factor in the medical ward: a case control study

BACKGROUND

Research regarding the association between severe obesity and in-hospital mortality is inconsistent. We evaluated the impact of body mass index (BMI) levels on mortality in the medical wards. The analysis was performed separately before and during the COVID-19 pandemic.

METHODS

We retrospectively retrieved data of adult patients admitted to the medical wards at the Mount Sinai Health System in New York City. The study was conducted between January 1, 2011, to March 23, 2021. Patients were divided into two sub-cohorts: pre-COVID-19 and during-COVID-19. Patients were then clustered into groups based on BMI ranges. A multivariate logistic regression analysis compared the mortality rate among the BMI groups, before and during the pandemic.

RESULTS

Overall, 179,288 patients were admitted to the medical wards and had a recorded BMI measurement. 149,098 were admitted before the COVID-19 pandemic and 30,190 during the pandemic. Pre-pandemic, multivariate analysis showed a "J curve" between BMI and mortality. Severe obesity (BMI > 40) had an aOR of 0.8 (95% CI:0.7-1.0, p = 0.018) compared to the normal BMI group. In contrast, during the pandemic, the analysis showed a "U curve" between BMI and mortality. Severe obesity had an aOR of 1.7 (95% CI:1.3-2.4, p < 0.001) compared to the normal BMI group.

CONCLUSIONS

Medical ward patients with severe obesity have a lower risk for mortality compared to patients with normal BMI. However, this does not apply during COVID-19, where obesity was a leading risk factor for mortality in the medical wards. It is important for the internal medicine physician to understand the intricacies of the association between obesity and medical ward mortality.

Metabolic syndrome; associations with adverse outcome after colorectal surgery. A systematic review and meta-analysis

Background

Increasing evidence shows that patients with Metabolic Syndrome (MetS) are at risk for adverse outcome after abdominal surgery. The aim of this study was to investigate the impact of MetS and preoperative hyperglycemia, as an individual component of MetS, on adverse outcome after colorectal surgery.

Methods

A literature review was systematically performed according to the PRISMA guidelines. Inclusion criteria were observational studies that evaluated the relationship between MetS or preoperative hyperglycemia and outcomes after colorectal surgery (i.e. any complication, severe complication defined as Clavien-Dindo grade ≥ III, anastomotic leakage, surgical site infection, mortality and length of stay).

Results

Six studies (246.383 patients) evaluated MetS and eight studies (9.534 patients) reported on hyperglycemia. Incidence rates of MetS varied widely from 7% to 68% across studies. Meta-analysis showed that patients with MetS are more likely to develop severe complications than those without MetS (RR 1.62, 95% CI 1.01–2.59). Moreover, a non-significant trend toward increased risks for any complication (RR 1.35, 95% CI 0.91–2.00), anastomotic leakage (RR 1.67, 95% CI 0.47–5.93) and mortality (RR 1.19, 95% CI 1.00–1.43) was found. Furthermore, preoperative hyperglycemia was associated with an increased risk of surgical site infection (RR 1.35, 95% CI 1.01–1.81).

Conclusion

MetS seem to have a negative impact on adverse outcome after colorectal surgery. As a result of few studies meeting inclusion criteria and substantial heterogeneity, evidence is not conclusive. Future prospective observational studies should improve the amount and quality in order to verify current results.

•

The prevalence of metabolic syndrome (MetS) in colorectal surgery patients is 7–68%.

•

MetS increases the risk of severe complications after colorectal surgery.

•

Preoperative hyperglycemia, as an individual component of MetS, is associated with surgical site infection.

•

Identification of MetS could be valuable in preoperative risk stratification.

Complications following hysterectomy in women with intellectual and developmental disabilities

BACKGROUND

Limited data exist on complications following hysterectomy among women with intellectual and developmental disabilities (IDD).

OBJECTIVE

The objective was to assess the frequencies of postoperative complications in women with IDD following hysterectomy.

METHODS

The National Inpatient Sample from 2014 to 2017 was queried using codes from the International Classification of Disease 9th and 10th revisions to identify women over 15 years of age with a diagnosis of an IDD undergoing hysterectomy. Comparisons were made to women without IDD undergoing the same procedure. Logistic regression analysis was performed to examine between group differences in the frequency of clinical post-surgical complications while adjusting for potential confounding variables.

RESULTS

Of eligible women undergoing hysterectomy, 1,370 were identified as having IDD and 624,700 did not. Compared to controls, women with IDD were significantly younger (45 vs. 50 years, p < 0.001). Women with IDD were also more likely to have had governmental health insurance (83% vs. 34%, p < 0.001), an open hysterectomy approach (78% vs. 69%, p = 0.002), and longer hospital stays (4 vs. 3 days, p < 0.001). After adjusting for potential confounders, women with IDD had greater odds of postoperative urinary complications (OR 3.74, 95% CI 1.18-11.83) and complications related to decubitus ulcer formation (OR 8.97, 95% CI 2.10-38.36).

CONCLUSIONS

Women with IDD have increased odds having urinary and decubitus ulcer complications following hysterectomy, compared to women without IDD. These results inform surgical decision-making and anticipatory guidance for these women and their caregivers.

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease.

RESULTS

Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Class III obesity rather than metabolic syndrome impacts clinical outcomes of acute pancreatitis: A propensity score weighted analysis

OBJECTIVES

The incidence rates of acute pancreatitis (AP) and the prevalence of class III obesity, and metabolic syndrome (MetS) are increasing in the US. Since class III obesity was associated with adverse clinical outcomes of AP, we sought to understand if the presence of metabolic comorbidities collectively recognized, as MetS were associated with worse clinical outcomes and increased health-care utilization.

METHODS

The Nationwide Readmissions Database (NRD) (2010-2014) was reviewed to identify all adult subjects with a principal discharge diagnosis of AP. Inpatient mortality, severe AP (SAP), and 30-day readmissions were the primary outcomes analyzed. Propensity score weighted analyses were used to compare AP subjects with and without MetS and were further stratified by class III obesity status.

RESULTS

MetS was associated with 12.91% (139,165/1,078,183) of all admissions with AP. Propensity score weighted analyses showed that MetS was associated with an increased proportion of SAP (OR 1.21, 95% CI 1.17, 1.25), but decreased mortality (OR 0.62, 95% CI 0.54, 0.70) and 30-day readmissions (OR 0.86, 95% CI 0.83, 0.89). Propensity score weighted analyses also revealed that class III obesity was independently associated with increased mortality in AP subjects with (OR 1.92, 95% CI 1.41, 2.61) and without MetS (OR 1.55, 95% CI 1.26, 1.92), and increased SAP in subjects with and without MetS.

CONCLUSIONS

Class III obesity appears to be the primary factor associated with adverse clinical outcomes in subjects with MetS admitted with AP. This has significant implications for patient management and future research targeting AP.

Metabolic syndrome predicts postoperative complications after gastrectomy in gastric cancer patients: Development of an individualized usable nomogram and rating model

Background

Metabolic syndrome (MetS), a public health problem, is reportedly related to an increased risk of postoperative complications after surgery. However, whether MetS have an effect on complications after gastric cancer (GC) surgery are unknown. This study aimed to investigate the effects of preoperative MetS on complications after gastrectomy.

Methods

Altogether, 718 gastric cancer patients who planned to receive radical gastrectomy between June 2014 and December 2016 were enrolled, demographic and clinicopathological characteristics were analyzed. Univariate and multivariate analyses were performed to identify potential risk factors for postoperative complications. A predictive model for postoperative complications was constructed in the form of a nomogram, and its clinical usefulness was assessed.

Results

Of the 628 patients ultimately included in the study (mean age 62.92 years, 450 men and 178 women), 84 were diagnosed with MetS preoperatively. Severe postoperative complications (Clavien‐Dindo grade ≥II) were significantly more common in patients with MetS (41.7% versus 23.7%, P < .001). Predictors of postoperative complications included MetS (odds ratio [OR] = 1.800, P = .023), age (OR = 1.418, P = .050), Charlson score (OR = 1.787, P = .004 for 1‐2 points) and anastomosis type (OR = 1.746, P = .007 for Billroth II reconstruction). The high‐risk rating had a high AUC (ROC I = 0.503, ROC Ib = 0.544, ROC IIa = 0.601, ROC IIb = 0.612, ROC IIc = 0.638, ROC III = 0.735), indicating that the risk‐rating model has good discriminative capacity and clinical usefulness.

Conclusions

MetS was an independent risk factor for complications after gastrectomy. The nomogram and rating model incorporating MetS, Billroth II anastomosis, age, and Charlson score was useful for individualized prediction of postoperative complications.

Metabolic Syndrome, as Defined Based on Parameters Including Visceral Fat Area, Predicts Complications After Surgery for Rectal Cancer

BACKGROUND/OBJECTIVES

Metabolic syndrome (MetS) has become a major public health problem. However, few studies have examined the impact of MetS on the postoperative complications of colorectal cancer and the conclusions remain controversial. The present study aimed to investigate whether MetS, as defined based on visceral fat area (VFA) instead of BMI or waist circumference, would predict complications after surgery for rectal cancer.

SUBJECTS/METHODS

We conducted a retrospective study of patients who underwent surgery for rectal cancer at our department between January 2013 and August 2018. Univariate and multivariate analyses evaluating the risk factors for postoperative complications were performed. A receiver operating characteristic curve analysis was used to determine the gender-specific cut-off values for VFA.

RESULTS

A total of 381 patients were included in the study. The optimal cut-off values for VFA were 117.9 cm² for men and 76.9 cm² for women, and 153 patients were diagnosed as having MetS. The rate of postoperative complication was significantly higher in the MetS group than that in the non-MetS group (34.6% versus 15.8%, P < 0.001). The multivariate logistic regression analysis demonstrated that MetS (OR 3.712, P < 0.001), NRS 2002 scores ≥ 3 (OR 2.563, P = 0.001), and tumor located at the lower 1/3 (OR 3.290, P = 0.001) were independent risk factors for complications after surgery for rectal cancer.

CONCLUSION

Metabolic syndrome, as defined based on parameters including visceral fat area, was an independent risk factor for complications after surgery for rectal cancer.

Metabolic Syndrome Predicts Worse Perioperative Outcomes in Patients Treated With Partial Nephrectomy for Renal Cell Carcinoma

OBJECTIVE

To test the association between metabolic syndrome (MetS) and its components (high blood pressure, body mass index [BMI]  ≥ 30, altered fasting glucose, low high-density lipoprotein cholesterol and high triglycerides) on perioperative outcomes after partial nephrectomy (PN).

METHODS

Within the National Inpatient Sample database (2000-2015) we identified all PN patients. First, temporal trends of MetS were reported. Second, the effect of MetS components was tested in multivariable logistic regression models predicting overall and specific perioperative complications. Third, we tested for dose-response from the concomitant effect of multiple MetS components. All models were weighted and adjusted for clustering, as well as all available patient and hospital characteristics.

RESULTS

Of 25,875 patients: (1) 59.3% had high blood pressure, (2) 14.7% had BMI  ≥ 30, (3) 21.7% had altered fasting glucose, (4) 20.2% had high triglycerides, and (5) <0.01% had low high-density lipoprotein cholesterol. One vs 2 vs 3 vs 4 MetS components were recorded in 34.9% vs 22.9% vs 8.9% vs 2.2% patients. Of all, 11.1% exhibited  ≥ 3 components and qualified for MetS. The rates of MetS increased over time (estimated annual percentage changes: +12.0%;P <.001). The 4 tested MetS components (high blood pressure, BMI  ≥ 30, altered fasting glucose, and high triglycerides) achieved independent predictor status in multivariable models predicting overall, cardiac, miscellaneous medical, vascular, and respiratory complications, as well as transfusions. Moreover, a statistically significant dose-response was confirmed for the same endpoints.

CONCLUSION

MetS and its components consistently and strongly predict perioperative complications after PN. Moreover, the strength of the effect was directly proportional to the number of MetS components exhibited by each individual patient, even if formal MetS diagnosis of  ≥ 3 components has not been met.

Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals.

RESULTS

Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Does Metabolic Syndrome Increase the Risk of Postoperative Complications in Patients Undergoing Colorectal Cancer Surgery?

BACKGROUND

Metabolic syndrome is associated with poorer postoperative outcomes after various abdominal operations. However, the impact of metabolic syndrome on outcomes after colorectal cancer surgery remains poorly described.

OBJECTIVE

The purpose of this study was to determine the association between metabolic syndrome and short-term postoperative outcomes in patients undergoing elective colorectal cancer surgery.

DESIGN

This was a retrospective cohort study.

SETTINGS

This study used a national multicenter database.

PATIENTS

Adult patients who underwent elective colectomy for colorectal cancer from 2010 to 2016 were identified in the American College of Surgeons National Surgical Quality Improvement Program database.

MAIN OUTCOME MEASURES

Thirty-day postoperative mortality and morbidity, unplanned reoperation, unplanned readmission, operative time, and length of stay were measured.

RESULTS

A total of 91,566 patients were analyzed; 7603 (8.3%) had metabolic syndrome. On unadjusted analysis, metabolic syndrome was associated with an increased risk of 30-day overall morbidity, pulmonary complications, renal complications, septic complications, cardiac complications, wound complications, blood transfusion, longer length of stay, and unplanned readmissions. On multivariable analysis, metabolic syndrome remained significantly associated with renal complications (OR = 1.44 (95% CI, 1.29-1.60)), superficial surgical site infection (OR = 1.46 (95% CI, 1.32-1.60)), deep surgical site infection (OR = 1.40 (95% CI, 1.15-1.70)), wound dehiscence (OR = 1.47 (95% CI, 1.20-1.80)), and unplanned readmissions (HR = 1.24 (95% CI, 1.15-1.34)). The risks of overall morbidity, cardiac and septic complications, and prolonged length of stay for laparoscopic procedures were significantly associated with diabetes mellitus rather than metabolic syndrome as a composite entity.

LIMITATIONS

This study was limited by its retrospective design and inability to analyze outcomes beyond 30 days.

CONCLUSIONS

Patients with metabolic syndrome undergoing elective surgery for colorectal cancer have an increased risk of 30-day postoperative renal complications, wound complications, and unplanned hospital readmissions. A multidisciplinary approach involving lifestyle modifications and pharmacologic interventions to improve the components of metabolic syndrome should be implemented preoperatively for these patients. See Video Abstract at http://links.lww.com/DCR/A909.

The Impact of Metabolic Syndrome on 30-Day Outcomes Following Elective Anterior Cervical Discectomy and Fusions

STUDY DESIGN

Retrospective review of prospective registry OBJECTIVE.: To analyze the impact of metabolic syndrome (MetS) on 30-day outcomes following elective anterior cervical discectomy and fusions (ACDFs).

SUMMARY OF BACKGROUND DATA

MetS is defined as the presence of a combination of hypertension, diabetes mellitus, and obesity. Past literature has reported MetS to complicate postoperative care in patients undergoing various surgical procedures, including lumbar fusions.

METHODS

The 2015 to 2016 American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried using current procedural terminology (CPT) codes 22,551 (single-level) and 22,552 (additional level). Patients undergoing disc arthroplasty, multi-level (>3) fusion, posterior cervical spine surgery, and patients with fracture, tumor, infection were excluded. MetS was defined using a pre-set criteria used by other NSQIP studies as the presence of-(1) diabetes mellitus, (2) hypertension requiring medication, and (3) body mass index (BMI) more than or equal to 30 kg/m.

RESULTS

A total of 1384 (8.8%) patients with MetS underwent a cervical fusion. Following adjusted analysis, results showed that presence of MetS was associated with higher odds of a prolonged length of stay more than or equal to 3 days (odds ratios [OR] 1.32 [95% confidence interval [CI] 1.12-1.56]; P = 0.001). No significant association was found between MetS and 30-day complications, 30-day reoperations, 30-day re-admissions, a non-home discharge, and death.

CONCLUSION

While MetS was associated with a prolonged length of stay, its presence does not have a large impact on 30-day outcomes following elective ACDF.

LEVEL OF EVIDENCE

3.