Outcomes following robot-assisted versus laparoscopic sleeve gastrectomy: the New York State experience

INTRODUCTION

Laparoscopic sleeve gastrectomy (LSG) represents more than half of all bariatric procedures in the USA, and robot-assisted sleeve gastrectomy (RSG) is becoming increasingly common. There is a paucity of evidence regarding postoperative surgical outcomes (> 30 days) in RSG patients, especially as these patients move between multiple hospital systems.

METHODS

Using 2012-2018 New York State's inpatient and ambulatory data from the Statewide Planning and Research Cooperative System, bivariate and multivariate analyses were employed to examine patient long-term outcomes, postoperative complications, and charges following RSG versus LSG in unmatched and propensity score-matched (PSM) samples.

RESULTS

Among the 72,157 minimally invasive sleeve gastrectomies identified, 2365 (2.6%) were RSGs. In the PSM sample (2365 RSG matched to 23,650 LSG), RSG cases were more likely to be converted to an open procedure (2.3% vs 0.2% LSG patients, p < 0.01) and had a longer mean length of stay (LOS; 2.1 vs. 1.8 days LSG, p < 0.01). Postoperative complications were not different between RSG and LSG patients, but the proportion of emergency room visits resulting in inpatient readmissions was higher among RSG patients (5.5% vs. 4.2% in LSG patients, p < .01). Among the super obese (body mass index ≥ 50) patients, conversions to open procedure and LOS were also significantly higher for RSG versus LSG cases. Average hospital charges for the index admission ($47,623 RSG vs $35,934 LSG) and cumulative changes for 1 year from the date of surgery ($57,484 RSG vs $43,769 LSG) were > 30% higher for RSG patients.

CONCLUSIONS

RSG patients were more likely to have conversions to open procedures, longer postoperative stay, readmissions, and higher charges for both the index admission and beyond, compared to LSG patients. No clear advantages emerged for the utilization of the robotic platform for either average risk or extremely obese patients.

MOSCATO: a supervised approach for analyzing multi-Omic single-Cell data

Background

Advancements in genomic sequencing continually improve personalized medicine, and recent breakthroughs generate multimodal data on a cellular level. We introduce MOSCATO, a technique for selecting features across multimodal single-cell datasets that relate to clinical outcomes. We summarize the single-cell data using tensors and perform regularized tensor regression to return clinically-associated variable sets for each ‘omic’ type.

Results

Robustness was assessed over simulations based on available single-cell simulation methods, and applicability was assessed through an example using CITE-seq data to detect genes associated with leukemia. We find that MOSCATO performs favorably in selecting network features while also shown to be applicable to real multimodal single-cell data.

Conclusions

MOSCATO is a useful analytical technique for supervised feature selection in multimodal single-cell data. The flexibility of our approach enables future extensions on distributional assumptions and covariate adjustments.

Supplementary Information

The online version contains supplementary material available at (10.1186/s12864-022-08759-3).

Is New York State good at managing hollow viscus injury?

BACKGROUND

There are an estimated 100,000 cases of abdominal injury (ABI) in the USA, annually resulting in over $12 billion in direct medical cost and $18 billion in lost productivity. This study assesses the timeliness, safety, and efficacy of the surgical management of abdominal injuries (ABIs), hollow viscus injuries (HVIs), and colonic injuries (CIs) for patients residing in New York State (NYS).

METHODS

Using data from NYS's Statewide Planning and Research Cooperative System (SPARCS), we identified all trauma patients with ABI admitted between 2006 and 2015. We subdivided ABI into HVI and CI using diagnosis and procedure codes and examined processes of care and outcomes adjusting for patient characteristics, injury severity score, structural, and process indicators.

RESULTS

We identified 31,043 hospitalized patients with ABI, 71% were incurred from blunt forces. Most patients with ABI (72%) were treated at a Level I/II trauma center (TC) and 7% patients were transferred to Level I/II TC. Failure to be treated at Level I/II TC was associated with 16% increased hazard of death. HVI was diagnosed in 23% of ABI patients (n = 7294); 18% experienced delayed hollow viscus repair (dHVR); dHVR was associated with a 76% increased hazard of death. CI was diagnosed in 9% of ABI patients (n = 2921) and 18% experienced dHVR. Seventy-five percent of CI were repaired primarily (n = 1354). Less than 37% of stomas were reversed by 4 years of index trauma.

CONCLUSION

Most abdominal trauma in NYS was caused by motor vehicle accidents, falls, and assault. dHVR and not being treated at Level I/II TC were associated with worse outcomes. More research is needed to reduce under-triage and delays in the operative treatment of blunt abdominal trauma.

Balanced Functional Module Detection in genomic data

Motivation

High-dimensional genomic data can be analyzed to understand the effects of variables on a target variable such as a clinical outcome. For understanding the underlying biological mechanism affecting the target, it is important to discover the complete set of relevant variables. Thus variable selection is a primary goal, which differs from a prediction criterion. Of special interest are functional modules, cooperating sets of variables affecting the target which can be characterized by a graph. In applications such as social networks, the concept of balance in undirected signed graphs characterizes the consistency of associations within the network. This property requires that the module variables have a joint effect on the target outcome with no internal conflict, an efficiency that may be applied to biological networks.

Results

In this paper, we model genomic variables in signed undirected graphs for applications where the set of predictor variables influences an outcome. Consequences of the balance property are exploited to implement a new module discovery algorithm, balanced Functional Module Detection (bFMD), which selects a subset of variables from high-dimensional data that compose a balanced functional module. Our bFMD algorithm performed favorably in simulations as compared to other module detection methods. Additionally, bFMD detected interpretable results in an application using RNA-seq data obtained from subjects with Uterine Corpus Endometrial Carcinoma using the percentage of tumor invasion as the outcome of interest. The variables selected by bFMD have improved interpretability due to the logical consistency afforded by the balance property.

Supplementary information

Supplementary data are available at Bioinformatics Advances online.

SuMO-Fil: Supervised multi-omic filtering prior to performing network analysis

Multi-omic analyses that integrate many high-dimensional datasets often present significant deficiencies in statistical power and require time consuming computations to execute the analytical methods. We present SuMO-Fil to remedy against these issues which is a pre-processing method for Supervised Multi-Omic Filtering that removes variables or features considered to be irrelevant noise. SuMO-Fil is intended to be performed prior to downstream analyses that detect supervised gene networks in sparse settings. We accomplish this by implementing variable filters based on low similarity across the datasets in conjunction with low similarity with the outcome. This approach can improve accuracy, as well as reduce run times for a variety of computationally expensive downstream analyses. This method has applications in a setting where the downstream analysis may include sparse canonical correlation analysis. Filtering methods specifically for cluster and network analysis are introduced and compared by simulating modular networks with known statistical properties. The SuMO-Fil method performs favorably by eliminating non-network features while maintaining important biological signal under a variety of different signal settings as compared to popular filtering techniques based on low means or low variances. We show that the speed and accuracy of methods such as supervised sparse canonical correlation are increased after using SuMO-Fil, thus greatly improving the scalability of these approaches.

Metabolic and bariatric surgery among endometrial cancer survivors: Are we missing an opportunity to help?

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Background: Multiple studies have delineated a clear link between the estrogenic effects of obesity and the incidence of endometrial cancer (EC). Obese EC patients are less likely to receive guideline-recommended surgical treatment (ST) relying instead on chemotherapy and radiation therapy. Furthermore, EC patients are more likely to die from obesity-related complications than from cancer-related causes. Several small-scale studies have demonstrated that metabolic and bariatric surgery (MBS) could offer EC patients fast, safe and effective weight loss, which provides an opportunity to improve survival. This is the first population-based study that examines uptake and outcomes of MBS among EC survivors in New York State (NYS). Methods: This study was based on the all-payer longitudinal data from the NYS’s Statewide Planning and Research Cooperative System and included inpatient and ambulatory surgeries performed between 2006 and 2012. Using ICD and CPT diagnostic and procedure codes, we identified patients diagnosed with EC for the first time, and we further examined whether they received ST within one year of their initial EC diagnosis. We followed EC patients with ST for 4 years to examine the rates of MBS, and we assessed long-term patient outcomes through 2019. We conducted bivariate and multivariate analyses to evaluate all-cause mortality and identify risk factors for poor surgical outcomes and readmissions. Results: Among 24,950 EC patients (2006-2012), 16,156 (65%) of them underwent ST within 1 year of EC diagnosis. Compared to those who did not receive ST, patients who underwent ST were younger, less likely to be White and more likely to be from urban counties, had private insurance, diagnosed with diabetes and hypertension, and had lower Elixhauser scores for readmission and mortality ( p < 0.01 for all). Within 4 years following ST, 136 (0.8%) EC patients underwent MBS. Those who underwent MBS were younger ( p < 0.01), predominantly white, privately insured, morbidly obese ( p < 0.01) and diabetic ( p = 0.01) compared to those who did not undergo MBS. Conclusions: Despite having higher risk of mortality from obesity-related complications such as diabetes and cardiovascular disease, the proportion of EC patients obtaining MBS (0.8%) was similar to that seen among the US population eligible for MBS (1.0%). More research is needed to understand barriers to MBS among eligible women with EC.

Assessing the assessment: a comparison of the IPASS and ICCAS to measure change in interprofessional competencies following a large-scale interprofessional forum

Measuring the effectiveness of interprofessional education (IPE) experiences is essential but challenging. Surveying learners before (pretest) and after (posttest) an IPE experience may result in minimal change due to response shift bias. Retrospective pretest/posttest assessment may ameliorate response shift bias but may also result in inflated change scores due to social desirability bias. We studied a cohort of 675 students from 12 health professions who completed the Interprofessional Attitudes Scale (IPAS) within the 4 weeks before (pretest) and the 3 weeks after (posttest) an IPE forum and completed the Interprofessional Collaborative Competency Attainment Survey (ICCAS) within the 3 weeks after the forum as a retrospective pretest/posttest. We found higher scores on the pretest IPAS than the retrospective pretest ICCAS and greater change in scores on the ICCAS than the IPAS, indicating potential response shift and social desirability biases. Furthermore, we found few significant correlations between change scores in subscales of the two tests, but a high number of strong and significant correlation among the ICCAS subscale change scores. Our results indicate the timing of pretest administration may impact change scores or that subscales of IPAS may be more unique than those of ICCAS. These findings suggest that educators should consider the potential impact of response shift and social desirability biases when interpreting results of the IPAS and ICCAS in response to an IPE learning experience.

Teaching surgery novices and trainees advanced laparoscopic suturing: a trial and tribulations

INTRODUCTION

The benefits of minimally invasive surgery are numerous; however, considerable variability exists in its application and there is a lack of standardized training for important advanced skills. Our goal was to determine whether participation in an advanced laparoscopic curriculum (ALC) results in improved laparoscopic suturing skills.

METHODS AND PROCEDURES

Study design was a prospective, randomized controlled trial. Surgery novices and trainees underwent baseline FLS training and were pre-tested on bench models. Participants were stratified by pre-test score and randomized to undergo either further FLS training (control group) or ALC training (intervention group). All were post-tested on the same bench model. Tests for differences between post-test scores of cohorts were performed using least squared means. Multivariable regression identified predictors of post-test score, and Wilcoxon rank sum test assessed for differences in confidence improvement in laparoscopic suturing ability between groups.

RESULTS

Between November 2018 and May 2019, 25 participants completed the study (16 females; 9 males). After adjustment for relevant variables, participants randomized to the ALC group had significantly higher post-test scores than those undergoing FLS training alone (mean score 90.50 versus 82.99, p = 0.001). The only demographic or other variables found to predict post-test score include level of training (p = 0.049) and reported years of video gaming (p = 0.034). There was no difference in confidence improvement between groups.

CONCLUSIONS

Training using the ALC as opposed to basic laparoscopic skills training only is associated with superior advanced laparoscopic suturing performance without affecting improvement in reported confidence levels. Performance on advanced laparoscopic suturing tasks may be predicted by lifetime cumulative video gaming history and year of training but does not appear to be associated with other factors previously studied in relation to basic laparoscopic skills, such as surgical career aspiration or musical ability.

Association of state vision screening requirements with parent-reported vision testing in young children

PURPOSE

To examine the relationship between state school vision screening requirements and the likelihood that children 3-5 years of age receive vision testing.

METHODS

We obtained nationally representative data from the 2016 National Survey of Children's Health on children ages 3-5 (n = 7,567) and used available sources to compile state policies that mandate childhood vision testing. We calculated the rates of parent-reported vision testing for each state and fit logistic regression models using survey-based estimation methods with nationally representative weights. Our models controlled for factors such as age, sex, race/ethnicity, and insurance coverage. Additional analyses added comorbidities that may lead to an eye care provider referral.

RESULTS

Parent-reported vision testing rates by state ranged from 41% to 84%. A significant association was found between the presence of state-level vision screening requirements and parent-reported vision testing, which remained after controlling for comorbidities (aOR = 1.374; P = 0.016). Of these comorbidities, arthritis, blindness, and very low birth weight were associated with a higher rate of vision screening (all P < 0.05).

CONCLUSIONS

The presence of a state-level school vision screening requirement is associated with increased parent-reported vision testing in children 3-5 years of age. This suggests that state policy may ensure timely screening for amblyopia and other sight-threatening complications.