The impact of obesity on postoperative outcomes in colorectal cancer patients: a retrospective database study

Preoperative body composition measured by bioelectrical impedance analysis can predict pancreatic fistula after pancreatic surgery

BACKGROUND

Postoperative pancreatic fistula (POPF) remains one of the most severe complications after pancreatic surgery. The methods for predicting pancreatic fistula are limited. We aimed to investigate the predictive value of body composition parameters measured by preoperative bioelectrical impedance analysis (BIA) on the development of POPF.

METHODS

A total of 168 consecutive patients undergoing pancreatic surgery from March 2022 to December 2022 at our institution were included in the study and randomly assigned at a 3:2 ratio to the training group and the validation group. All data, including previously reported risk factors for POPF and parameters measured by BIA, were collected. Risk factors were analyzed by univariable and multivariable logistic regression analysis. A prediction model was established to predict the development of POPF based on these parameters.

RESULTS

POPF occurred in 41 of 168 (24.4%) patients. In the training group of 101 enrolled patients, visceral fat area (VFA) (odds ratio [OR] = 1.077, P = 0.001) and fat mass index (FMI) (OR = 0.628, P = 0.027) were found to be independently associated with POPF according to multivariable analysis. A prediction model including VFA and FMI was established to predict the development of POPF with an area under the receiver operating characteristic curve (AUC) of 0.753. The efficacy of the prediction model was also confirmed in the internal validation group (AUC 0.785, 95% CI 0.659-0.911).

CONCLUSIONS

Preoperative assessment of body fat distribution by BIA can predict the risk of POPF after pancreatic surgery.

Development and validation of a novel risk-predicted model for early sepsis-associated acute kidney injury in critically ill patients: a retrospective cohort study

OBJECTIVES

This study aimed to develop a prediction model for the detection of early sepsis-associated acute kidney injury (SA-AKI), which is defined as AKI diagnosed within 48 hours of a sepsis diagnosis.

DESIGN

A retrospective study design was employed. It is not linked to a clinical trial. Data for patients with sepsis included in the development cohort were extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The least absolute shrinkage and selection operator regression method was used to screen the risk factors, and the final screened risk factors were constructed into four machine learning models to determine an optimal model. External validation was performed using another single-centre intensive care unit (ICU) database.

SETTING

Data for the development cohort were obtained from the MIMIC-IV 2.0 database, which is a large publicly available database that contains information on patients admitted to the ICUs of Beth Israel Deaconess Medical Center in Boston, Massachusetts, USA, from 2008 to 2019. The external validation cohort was generated from a single-centre ICU database from China.

PARTICIPANTS

A total of 7179 critically ill patients with sepsis were included in the development cohort and 269 patients with sepsis were included in the external validation cohort.

RESULTS

A total of 12 risk factors (age, weight, atrial fibrillation, chronic coronary syndrome, central venous pressure, urine output, temperature, lactate, pH, difference in alveolar-arterial oxygen pressure, prothrombin time and mechanical ventilation) were included in the final prediction model. The gradient boosting machine model showed the best performance, and the areas under the receiver operating characteristic curve of the model in the development cohort, internal validation cohort and external validation cohort were 0.794, 0.725 and 0.707, respectively. Additionally, to aid interpretation and clinical application, SHapley Additive exPlanations techniques and a web version calculation were applied.

CONCLUSIONS

This web-based clinical prediction model represents a reliable tool for predicting early SA-AKI in critically ill patients with sepsis. The model was externally validated using another ICU cohort and exhibited good predictive ability. Additional validation is needed to support the utility and implementation of this model.

Laparoscopic versus open colectomy for locally advanced colon cancer in obese patients: a nationwide, multicenter, propensity score-based analysis of short- and long-term outcomes

OBJECTIVE

This study evaluated the short-and long-term outcomes of laparoscopic colectomy versus open surgery in obese patients (body mass index ≥25 kg/m2) with locally advanced colon cancer to ascertain the non-inferiority of laparoscopic surgery to open surgery.

METHODS

In this large cohort study (UMIN-ID: UMIN000033529), we retrospectively reviewed prospectively collected data from consecutive patients who underwent laparoscopic or open surgery for pathological stage II-III colon cancer between 2009 and 2013. A comparative analysis was performed after propensity score matching between the laparoscopic and open surgery groups. The primary endpoint was the 3-year relapse-free survival (RFS).

RESULTS

We identified 1575 eligible patients from 46 institutions. Each group comprised 526 propensity score-matched patients. Comparing the laparoscopic versus open surgery group, laparoscopic surgery was significantly associated with increased median operating time (225 vs. 192.5 min; P < .0001) and decreased median estimated blood loss (20 vs. 140 ml; P < .0001). Lymph node retrieval (20 vs. 19; P = 0.4392) and postoperative complications (4.6% vs. 5.7%; P = 0.4851) were similar, postoperative hospital stay was shorter (10 vs. 12 days; P < .0001), and the 3-year RFS rates were similar (82.8 vs. 81.2%). The hazard ratio (HR) for relapse-free survival for laparoscopic versus open surgery was 0.927 (90% confidence interval [CI], 0.747-1.150, one-sided P for non-inferiority = .001), indicating that for obese patients with colon cancer, laparoscopic surgery was non-inferior to open surgery.

CONCLUSION

Laparoscopic surgery in obese patients with colon cancer offers advantages in terms of short-term outcomes and no disadvantages in terms of long-term outcomes.

Use of FOLFOXIRI Plus Bevacizumab and Subsequent Therapies in Metastatic Colorectal Cancer: An Age-Stratified Analysis

BACKGROUND

Treatment recommendations for metastatic colorectal cancer (mCRC) do not differ by age group; nevertheless, aggressive multiagent chemotherapy comprising FOLFOXIRI+bevacizumab (triplet+bev) is routinely administered in younger patients. This study analyzed real-world data on index triplet+bev use and subsequent systemic therapies.

MATERIALS AND METHODS

This retrospective, observational cohort study was conducted in patients aged ≥ 18 years with mCRC, who were initiated on triplet+bev. Data were derived from the Optum de-identified electronic health record dataset.

RESULTS

Of 36,056 patients, 14%, 36%, and 50% were aged 18-49, 50-64, and ≥ 65 years, respectively. During the study period (2010-2021), triplet+bev use increased in patients aged 18-49 years (1%-4%) but remained at approximately 3% and 1% in patients aged 50-64 and ≥ 65 years, respectively. Patient demographics and clinical characteristics varied slightly; of patients receiving triplet+bev (n = 921) versus nontriplet+bev (n = 35,132) most were male (57% vs. 52%), resided in the Midwest (54% vs. 49%) and Northeast (18% vs. 14%) US regions, and had secondary malignancies (86% vs. 73%). Following triplet+bev, most patients received subsequent therapies (including continued triplet component therapies; 97%) or subsequent "new" therapies (therapies that did not include any agents comprising triplet+bev; 57%), most frequently EGFR inhibitors (28%) and regorafenib (21%), with a similar trend among all age groups.

CONCLUSIONS

Overall, this study shows that younger patients with mCRC are more likely to receive first-line triplet+bev. These results also reveal that nonchemotherapy options are often used beyond first-line triplet chemotherapy for patients with mCRC.

Post-diagnosis adiposity and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis

The adiposity influence on colorectal cancer prognosis remains poorly characterised. We performed a systematic review and meta-analysis on post-diagnosis adiposity measures (body mass index [BMI], waist circumference, waist-to-hip ratio, weight) or their changes and colorectal cancer outcomes. PubMed and Embase were searched through 28 February 2022. Random-effects meta-analyses were conducted when at least three studies had sufficient information. The quality of evidence was interpreted and graded by the Global Cancer Update Programme (CUP Global) independent Expert Committee on Cancer Survivorship and Expert Panel. We reviewed 124 observational studies (85 publications). Meta-analyses were possible for BMI and all-cause mortality, colorectal cancer-specific mortality, and cancer recurrence/disease-free survival. Non-linear meta-analysis indicated a reverse J-shaped association between BMI and colorectal cancer outcomes (nadir at BMI 28 kg/m2). The highest risk, relative to the nadir, was observed at both ends of the BMI distribution (18 and 38 kg/m2), namely 60% and 23% higher risk for all-cause mortality; 95% and 26% for colorectal cancer-specific mortality; and 37% and 24% for cancer recurrence/disease-free survival, respectively. The higher risk with low BMI was attenuated in secondary analyses of RCTs (compared to cohort studies), among studies with longer follow-up, and in women suggesting potential methodological limitations and/or altered physiological state. Descriptively synthesised studies on other adiposity-outcome associations of interest were limited in number and methodological quality. All the associations were graded as limited (likelihood of causality: no conclusion) due to potential methodological limitations (reverse causation, confounding, selection bias). Additional well-designed observational studies and interventional trials are needed to provide further clarification.

The impact of obesity on postoperative outcomes following surgery for colorectal cancer: analysis of the National Inpatient Sample 2015-2019

BACKGROUND

The global burden of obesity has reached epidemic proportions, placing great strain on the North American healthcare system. We designed a retrospective cohort database study comparing postoperative morbidity and healthcare resource utilization between patients living with and without obesity undergoing surgery for colorectal cancer.

METHODS

Adult patients undergoing resection for colorectal cancer were identified from the 2015 to 2019 National Inpatient Sample database. Patients were stratified according to obesity status (i.e., body mass index of 30 kg/m2). Propensity score matching (PSM) with 1:1 nearest-neighbour matching was performed according to demographic, operative, and hospital characteristics. The primary outcome was postoperative morbidity. Secondary outcomes included system-specific postoperative complications, postoperative mortality, length of stay, total admission healthcare cost, and post-discharge disposition. McNemar's and Wilcoxon matched pairs signed rank tests were performed.

RESULTS

After PSM, 7565 non-obese and 7565 obese patients were included. Patients with obesity had a 10% increase in relative risk of overall in-hospital postoperative morbidity (23.1% versus 25.6%, P = 0.0015) and a $4564 increase in hospitalization cost ($70 248 USD versus $74 812 USD, P = 0.0004). Patients with obesity were more likely to require post-operative ICU admission (5.0% versus 8.0%, P < 0.0001) and less likely to be discharged home after their index operation (68.3% versus 64.2%, P = 0.0022).

CONCLUSION

Patients with obesity undergoing surgery for colorectal cancer may be at an increased risk of in-hospital postoperative morbidity. They may also be more likely to have increased hospitalization costs, post-operative ICU admissions, and to not be discharged directly home. Preoperative optimization via weight loss strategies should be further explored.

Evaluating body mass index's impact on Da Vinci Robotic rectal cancer surgery, a retrospective study

Robotic surgery addresses laparoscopic shortcomings and yields comparable results for low and high body mass index (BMI) patients. However, the impact of BMI on postoperative complications in robotic colorectal surgery remains debated. This study assessed the implications of BMI on short outcomes and postoperative complications, highlighting its unique role in the outcomes. Retrospective analysis of 119 patients who underwent robotic-assisted surgery for rectal cancer (January 2022 to March 2023). Patients grouped by BMI: normal weight (BMI < 23.9 kg/m2), overweight (BMI ≥ 23.9 kg/m2 and BMI < 27.9 kg/m2), and obese (BMI ≥ 27.9 kg/m2). Investigated BMI's impact on surgical outcomes and postoperative complications. Statistically significant differences (P < 0.05) in Clavien-Dindo, ASA scores. The obese group had a longer time to flatus (P = 0.002) and a higher re-operation rate than other groups (P = 0.01). The overweight group had a higher anastomotic fistula rate than the obese group. Overall complications showed no significant differences among BMI cohorts (P = 0.0295). There were no significant differences in TNM stages and comorbidities. BMI had no significant impact on overall postoperative complications in robotic surgery for rectal cancer. However, higher BMI correlated with a longer time to flatus and increased re-operation rate.

The Relationship Between BMI and Postoperative Complications Among Colorectal Cancer Patients Undergoing Surgery

INTRODUCTION

Colorectal cancer (CRC) is common worldwide, and surgery is one of the main treatments. Postoperative complications are a concern. The primary objective of this study is to determine whether elevated body mass index (BMI), the presence of comorbidities, tumor characteristics, and the type of surgery are associated with an increased risk of postoperative complications such as wound infections, pulmonary complications, anastomotic leak, venous thromboembolism (VTE), bowel obstruction, and incisional hernia. The secondary objective is to describe the characteristics of colorectal cancer patients with different BMI groups.

METHODOLOGY

A retrospective cohort study was conducted using a non-probability sampling technique at a tertiary National Guard Hospital in Riyadh, Saudi Arabia. This study involved 122 patients aged 18 years or more who underwent elective or emergency surgery for colorectal cancer between the years 2015 and 2022. Data analysis was performed using Statistical Package for Social Sciences (SPSS) version 27 (IBM SPSS Statistics, Armonk, NY). Descriptive statistics (mean and standard deviation) were used for quantitative variables, while qualitative variables were presented as percentages and frequencies. Non-parametric tests were applied to compare qualitative variables. Quantitative variables were analyzed using the analysis of variance (ANOVA) test. Significance was established at a p-value of 0.05. Ethical considerations were followed throughout the study. Prior to conducting the study, ethical approval was obtained from the Institutional Review Board of King Abdullah International Medical Research Center (KAIMRC) (approval number: IRB/1598/23).

RESULTS

High BMI scores were observed in patients with postoperative complications. A statistically significant variation in BMI scores (p-value < 0.05) was found between patients with complications and without complications. This observation suggests that factors beyond excessive body weight might contribute to the onset of postoperative complications. Moreover, elevated BMI scores were more prevalent in males and were associated with reduced hemoglobin (Hgb) levels, underscoring the potential influence of physiological variables on the emergence of postoperative complications (p-value < 0.05). Tumors located in the rectum or rectosigmoid regions, as well as partial colectomy procedures, exhibited a higher risk of postoperative complications (p-value < 0.05). However, no significant connections were identified between the presence of comorbidities and the occurrence of postoperative complications (p-value > 0.05).

CONCLUSION

This study highlights the impact of BMI on postoperative outcomes in colorectal cancer patients. Higher BMI was associated with unfavorable postoperative outcomes, such as an increased risk of VTE and fluid collection. However, no significant differences in mortality rates or length of hospital stay (LOS) were observed across various BMI categories. Factors beyond BMI, including tumor characteristics, the type of surgical intervention, and preoperative care, play a significant role in determining postoperative outcomes. Therefore, it is essential to adopt a comprehensive approach that considers multiple factors when managing postoperative complications in colorectal cancer patients, particularly those with higher BMI.

Predictive modeling based on tumor spectral CT parameters and clinical features for postoperative complications in patients undergoing colon resection for cancer

BACKGROUND

Colon cancer is a particularly prevalent malignancy that produces postoperative complications (POCs). However, limited imaging modality exists on the accurate diagnosis of POCs. The purpose of this study was therefore to construct a model combining tumor spectral CT parameters and clinical features to predict POCs before surgery in colon cancer.

METHODS

This retrospective study included 85 patients who had preoperative abdominal spectral CT scans and underwent radical colon cancer resection at our institution. The patients were divided into two groups based on the absence (no complication/grade I) or presence (grades II-V) of POCs according to the Clavien-Dindo grading system. The visceral fat areas (VFA) of patients were semi-automatically outlined and calculated on L3-level CT images using ImageJ software. Clinical features and tumor spectral CT parameters were statistically compared between the two groups. A combined model of spectral CT parameters and clinical features was established by stepwise regression to predict POCs in colon cancer. The diagnostic performance of the model was evaluated using the receiver operating characteristic (ROC) curve, including area under the curve (AUC), sensitivity, and specificity.

RESULTS

Twenty-seven patients with POCs and 58 patients without POCs were included in this study. MonoE40keV-VP and VFA were independent predictors of POCs. The combined model based on predictors yielded an AUC of 0.84 (95% CI: 0.74-0.91), with a sensitivity of 77.8% and specificity of 87.9%.

CONCLUSIONS

The model combining MonoE40keV-VP and VFA can predict POCs before surgery in colon cancer and provide a basis for individualized management plans.

CRITICAL RELEVANCE STATEMENT

The model combining MonoE40keV-VP and visceral fat area can predict postoperative complications before surgery in colon cancer and provide a basis for individualized management plans.

KEY POINTS

• Visceral fat area and MonoE40keV-VP were independent predictors of postoperative complications in colon cancer. • The combined model yielded a high AUC, sensitivity, and specificity in predicting postoperative complications. • The combined model was superior to the single visceral fat area or MonoE40keV-VP in predicting postoperative complications.

Outcomes of robot-assisted versus laparoscopic surgery for colorectal cancer in morbidly obese patients: A propensity score-matched analysis of the US Nationwide Inpatient Sample

BACKGROUND AND AIM

Morbid obesity is associated with poorer postoperative outcomes in colorectal cancer (CRC) patients. We aimed to evaluate short-term outcomes after robotic versus conventional laparoscopic CRC resection in morbidly obese patients.

METHODS

This population-based, retrospective study extracted data from the US Nationwide Inpatient Sample during 2005-2018. Adults ≥ 20 years old, with morbid obesity and CRC, and undergoing robotic or laparoscopic resections were identified. Propensity score matching (PSM) was applied to minimize the confounding. Univariate and multivariable regression was conducted to evaluate the associations between outcomes and study variables.

RESULTS

After PSM, 1296 patients remained. The risks of any postoperative complication (adjusted odds ratio [aOR] = 0.99, 95% confidence interval [CI]: 0.80, 1.22), prolonged length of stay (LOS) (aOR = 0.80, 95% CI: 0.63, 1.01), death (aOR = 0.57, 95% CI: 0.11, 3.10), or pneumonia (aOR = 1.13, 95% CI: 0.73, 1.77) were not significantly different between the two procedures after adjustment. Robotic surgery was significantly associated with greater hospital cost (aBeta = 26.26, 95% CI: 16.08, 36.45) than laparoscopic surgery. Stratified analyses revealed that, in patients with tumor located at the colon, robotic surgery was associated with lower risk of prolonged LOS (aOR = 0.72, 95% CI: 0.54, 0.95).

CONCLUSIONS

In patients with morbid obesity, risks of postoperative complication, death, or pneumonia are not significantly different between robotic and laparoscopic CRC resection. Among patients with tumor located at the colon, robotic surgery is associated with lower risk of prolonged LOS. These findings fill the knowledge gap and provide useful information for clinicians on risk stratification and treatment choice.

Analysis of factors associated with postoperative acute kidney injury in patients with colorectal cancer and the development of a risk prediction model: a retrospective study

BACKGROUND

To investigate the factors associated with acute kidney injury (AKI) in postoperative colorectal cancer (CRC) patients and develop a risk prediction model.

METHODS

The clinical data of 389 CRC patients were retrospectively analyzed. The patients were divided into AKI (n = 30) and non-AKI groups (n = 359) according to KDIGO diagnostic criteria. Demographic data, the presence of underlying diseases, perioperative conditions and related examination results were compared between the two groups. Binary logistic regression was used to analyze the independent risk factors for postoperative AKI, and a risk prediction model was established. And a verification group (94 patients) was used to verify the model.

RESULTS

30 patients (7.71%) with CRC had postoperative AKI. Binary logistic regression analysis showed that preoperative combined hypertension, preoperative anemia, inadequate intraoperative crystalloid infusion, low intraoperative minimum mean arterial pressure (MAP) and moderate to severe postoperative decline in hemoglobin (Hb) levels were independent risk factors. The risk prediction model developed was expressed as Logit P = - 0.853 + 1.228 * preoperative combined hypertension + 1.275 *preoperative anemia - 0.002 * intraoperative crystalloid infusion (ml) - 0.091 * intraoperative minimum MAP (mmHg) + 1.482 * moderate to severe postoperative decline in Hb levels. In Hosmer-Lemeshow test, χ² = 8.157, P = 0.718 showed that the fitting effect was good. The area under ROC curve was 0.776 (95% CI 0.682-0.871, P < 0.001), with a prediction threshold of 1.570, a sensitivity of 63.3% and a specificity of 88.9%. The sensitivity and specificity of the verification group were 65.8% and 86.1%.

CONCLUSIONS

Preoperative combined hypertension, preoperative anemia, inadequate intraoperative crystalloid infusion, low intraoperative minimum MAP, and moderate to severe postoperative decline in Hb levels were independent risk factors for AKI development in CRC patients. The prediction model can effectively predict the occurrence of postoperative AKI in patients with CRC.

Laparoscopic versus robotic adrenalectomy in severely obese patients

BACKGROUND

Over the last 20 years, the prevalence of severe obesity (body mass index ≥ 35 kg/m²) has almost doubled. This condition increases the challenge of laparoscopic adrenalectomy (LA) by creating problems with instrument reach, adequate exposure, and visualization. The aim was to compare perioperative outcomes of laparoscopic versus robotic adrenalectomy (RA) in severely obese patients.

METHODS

This was an institutional review board-approved retrospective study. Prospectively collected clinical parameters of patients who underwent LA versus RA between 2000 and 2021 at a single center were compared using Mann-Whitney U, ANOVA, Chi-square, and multivariate regression analysis. Continuous data are expressed as median (interquartile range).

RESULTS

For lateral transabdominal (LT) adrenalectomies, skin-to-skin operative time (OT) [164.5 (71.0) vs 198.8 (117.0) minutes, p = 0.006] and estimated blood loss [26.2 (15.0) vs 72.6 (50.0) ml, p = 0.010] were less in RA versus LA group, respectively. Positive margin rate, hospital stay and 90-day morbidity were similar between the groups (p = NS). For posterior retroperitoneal (PR) approach, operative time and perioperative outcomes were similar between LA and RA groups. Multivariate analysis demonstrated robotic versus laparoscopic technique (p = 0.006) to be an independent predictor of a shorter OT.

CONCLUSION

There was a benefit of robotic over the laparoscopic LT adrenalectomy regarding OT and estimated blood loss. Although limited by the small sample size, there was no difference regarding perioperative outcomes between RA and LA performed through a PR approach.

The associations between lipid profiles and visceral obesity among gastrointestinal cancer patients: a cross-sectional study

Background

Visceral obesity is associated with cancer incidence and prognosis. Altered lipid profiles are frequently seen in visceral obese patients. The blood test of lipid profiles is more convenient and has no radical side effects than computed tomography (CT), which is presently the most accurate way to measure visceral fat area. This article aims to investigate the associations between lipid profiles and visceral obesity in gastrointestinal cancer patients.

Methods

In total, 399 patients newly diagnosed with gastrointestinal cancer were enrolled in this observational study. Lipid profiles were obtained from blood samples, and visceral fat mass area (VFA) was measured by CT. VFA ≥ 100 cm² was considered visceral obesity. The area under the receiver operating characteristic curve (AUROC) was utilized to evaluate the prognostic powers of lipid parameters for viscerally obese gastrointestinal cancer patients.

Results

Patients who had visceral obesity had higher triglyceride (TG) levels (1.20 ± 0.60 vs. 0.87 ± 0.57 mmo/L, P < 0.001), total cholesterol (TC) levels (3.57 ± 0.84 vs. 3.40 ± 0.82, P = 0.044), and low-density lipoprotein (LDL-C) levels (2.08 ± 0.66 vs. 1.94 ± 0.66, P = 0.047) and lower high-density lipoprotein (HDL-C) levels (0.88 ± 0.24 vs. 1.00 ± 0.26, P < 0.001) than those in the normal group. TG was positively correlated with VFA (r = 0.299, P < 0.001), while HDL-C was inversely correlated with VFA (r = -0.237, P < 0.001). TG and HDL-C had predictive capacity for visceral obesity at cutoff levels of 0.92 mmol/L (AUROC 0.700, 95% CI, 0.653–0.745, P < 0.001) and 0.98 mmol/L (AUROC 0.700, 95% CI, 0.585–0.682, P < 0.001), respectively. TG > 0.92 mmol/L with HDL-C < 0.98 mmol/L was linked with an increased risk of visceral obesity (OR = 4.068, 95% CI, 2.338—7.079, P < 0.001).

Conclusions

Lipid profiles were significantly correlated with VFA. Gastrointestinal cancer patients with TG > 0.92 mmol/L and HDL-C < 0.98 mmol/L were at elevated risk of visceral obesity in the Chinese population. Identifying visceral obesity and taking proper actions in gastrointestinal cancers are helpful for overall tumor prognosis.