Qiao, L., C. L. Welch, R. Hernan, J. Wynn, U. S. Krishnan, J. M. Zalieckas, T. Buchmiller, J. Khlevner, A. De, C. Farkouh-Karoleski, et al., "Common variants increase risk for congenital diaphragmatic hernia within the context of de novo variants", The American Journal of Human Genetics, 2024. AbstractWebsite

Summary Congenital diaphragmatic hernia (CDH) is a severe congenital anomaly often accompanied by other structural anomalies and/or neurobehavioral manifestations. Rare de novo protein-coding variants and copy-number variations contribute to CDH in the population. However, most individuals with CDH remain genetically undiagnosed. Here, we perform integrated de novo and common-variant analyses using 1,469 CDH individuals, including 1,064 child-parent trios and 6,133 ancestry-matched, unaffected controls for the genome-wide association study. We identify candidate CDH variants in 15 genes, including eight novel genes, through deleterious de novo variants. We further identify two genomic loci contributing to CDH risk through common variants with similar effect sizes among Europeans and Latinx. Both loci are in putative transcriptional regulatory regions of developmental patterning genes. Estimated heritability in common variants is ∼19%. Strikingly, there is no significant difference in estimated polygenic risk scores between isolated and complex CDH or between individuals harboring deleterious de novo variants and individuals without these variants. The data support a polygenic model as part of the CDH genetic architecture.

Biccard, B. M., D. Smith, S. Peters, A. Boutall, G. Wilson, E. Coetzee, M. Flint, S. Gumede, S. Rayamajhi, S. Bannister, et al., "Exploring the cost-effectiveness of high versus low perioperative fraction of inspired oxygen in the prevention of surgical site infections among abdominal surgery patients in three low- and middle-income countries", BJA Open, vol. 7, pp. 100207, 2023. AbstractWebsite

Background This study assessed the potential cost-effectiveness of high (80–100%) vs low (21–35%) fraction of inspired oxygen (FiO2) at preventing surgical site infections (SSIs) after abdominal surgery in Nigeria, India, and South Africa. Methods Decision-analytic models were constructed using best available evidence sourced from unbundled data of an ongoing pilot trial assessing the effectiveness of high FiO2, published literature, and a cost survey in Nigeria, India, and South Africa. Effectiveness was measured as percentage of SSIs at 30 days after surgery, a healthcare perspective was adopted, and costs were reported in US dollars ($). Results High FiO2 may be cost-effective (cheaper and effective). In Nigeria, the average cost for high FiO2 was $216 compared with $222 for low FiO2 leading to a −$6 (95% confidence interval [CI]: −$13 to −$1) difference in costs. In India, the average cost for high FiO2 was $184 compared with $195 for low FiO2 leading to a −$11 (95% CI: −$15 to −$6) difference in costs. In South Africa, the average cost for high FiO2 was $1164 compared with $1257 for low FiO2 leading to a −$93 (95% CI: −$132 to −$65) difference in costs. The high FiO2 arm had few SSIs, 7.33% compared with 8.38% for low FiO2, leading to a −1.05 (95% CI: −1.14 to −0.90) percentage point reduction in SSIs. Conclusion High FiO2 could be cost-effective at preventing SSIs in the three countries but further data from large clinical trials are required to confirm this.

Picciochi, M., A. E. Agbeko, and F. Agyei, "Variation of elective healthcare in West Africa: secondary analysis of an inguinal hernia international cohort study", Impact Surgery, vol. 1, no. 4, pp. 145–153, Jul., 2024. AbstractWebsite
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for and on Surgery, N. I. H. C. R.(N. I. H. R.) G. H. R. U. G., Global access to technologies to support safe and effective inguinal hernia surgery: prospective, international cohort study, , vol. 111, issue 7, pp. znae164, 2024/07/01. AbstractWebsite
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on Surgery, N. I. H. R. G. R. H. U. G., and G. S. Collaborative, "{Development and external validation of the ‘Global Surgical-Site Infection’ (GloSSI) predictive model in adult patients undergoing gastrointestinal surgery}", British Journal of Surgery, vol. 111, no. 6, pp. znae129, 06, 2024. AbstractWebsite

{Identification of patients at high risk of surgical-site infections may allow surgeons to minimize associated morbidity. However, there are significant concerns regarding the methodological quality and transportability of models previously developed. The aim of this study was to develop a novel score to predict 30-day surgical-site infection risk after gastrointestinal surgery across a global context and externally validate against existing models.This was a secondary analysis of two prospective international cohort studies: GlobalSurg-1 (July–November 2014) and GlobalSurg-2 (January–July 2016). Consecutive adults undergoing gastrointestinal surgery were eligible. Model development was performed using GlobalSurg-2 data, with novel and previous scores externally validated using GlobalSurg-1 data. The primary outcome was 30-day surgical-site infections, with two predictive techniques explored: penalized regression (least absolute shrinkage and selection operator (‘LASSO’)) and machine learning (extreme gradient boosting (‘XGBoost’)). Final model selection was based on prognostic accuracy and clinical utility.There were 14 019 patients (surgical-site infections = 12.3\%) for derivation and 8464 patients (surgical-site infections = 11.4\%) for external validation. The LASSO model was selected due to similar discrimination to extreme gradient boosting (AUC 0.738 (95\% c.i. 0.725 to 0.750) versus 0.737 (95\% c.i. 0.709 to 0.765)), but greater explainability. The final score included six variables: country income, ASA grade, diabetes, and operative contamination, approach, and duration. Model performance remained good on external validation (AUC 0.730 (95\% c.i. 0.715 to 0.744); calibration intercept −0.098 and slope 1.008) and demonstrated superior performance to the external validation of all previous models.The ‘Global Surgical-Site Infection’ score allows accurate prediction of the risk of surgical-site infections with six simple variables that are routinely available at the time of surgery across global settings. This can inform the use of intraoperative and postoperative interventions to modify the risk of surgical-site infections and minimize associated harm.This study is about finding ways to predict if someone will get an infection after having surgery on their stomach and intestines. If doctors know who is at high risk of getting an infection, they can take steps to prevent it and help the patient recover faster. The researchers used information from patients who had surgery all over the world to try to make a way to score how likely someone is to get infection in their wound from surgery. They did this in two different ways, then picked the one that was best at picking up infections, while still being easy to use. They then compared the new score against older scores to check if it really was better or not. The researchers found that their new score was good at predicting who might get an infection using just six bits of information on the patient. This new score worked even better than older scores when these were compared all together. This means that doctors can use this new score to check who is most likely to get an infection after surgery and so can take extra steps during and after the surgery to try and stop these from happening. Because the score is so simple, this is easy to use all around the world.}

, A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts, , vol. 6, issue 7, pp. e507 - e519, 2024. AbstractWebsite

SummaryBackground
Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
Methods
Data from an international, prospective cohort study were used to develop a novel prognostic risk model for pulmonary complications after elective surgery in adult patients (aged ≥18 years) across all operation and disease types. The primary outcome measure was postoperative pulmonary complications at 30 days after surgery, which was a composite of pneumonia, acute respiratory distress syndrome, and unexpected mechanical ventilation. Model development with candidate predictor variables was done in the GlobalSurg-CovidSurg Week dataset (global; October, 2020). Two structured machine learning techniques were explored (XGBoost and the least absolute shrinkage and selection operator [LASSO]), and the model with the best performance (GSU-Pulmonary Score) underwent internal validation using bootstrap resampling. The discrimination and calibration of the score were externally validated in two further prospective cohorts: CovidSurg-Cancer (worldwide; February to August, 2020, during the COVID-19 pandemic) and RECON (UK and Australasia; January to October, 2019, before the COVID-19 pandemic). The model was deployed as an online web application. The GlobalSurg-CovidSurg Week and CovidSurg-Cancer studies were registered with ClinicalTrials.gov, NCT04509986 and NCT04384926.
Findings
Prognostic models were developed from 13 candidate predictor variables in data from 86 231 patients (1158 hospitals in 114 countries). External validation included 30 492 patients from CovidSurg-Cancer (726 hospitals in 75 countries) and 6789 from RECON (150 hospitals in three countries). The overall rates of pulmonary complications were 2·0% in derivation data, and 3·9% (CovidSurg-Cancer) and 4·7% (RECON) in the validation datasets. Penalised regression using LASSO had similar discrimination to XGBoost (area under the receiver operating curve [AUROC] 0·786, 95% CI 0·774–0·798 vs 0·785, 0·772–0·797), was more explainable, and required fewer covariables. The final GSU-Pulmonary Score included ten predictor variables and showed good discrimination and calibration upon internal validation (AUROC 0·773, 95% CI 0·751–0·795; Brier score 0·020, calibration in the large [CITL] 0·034, slope 0·954). The model performance was acceptable on external validation in CovidSurg-Cancer (AUROC 0·746, 95% CI 0·733–0·760; Brier score 0·036, CITL 0·109, slope 1·056), but with some miscalibration in RECON data (AUROC 0·716, 95% CI 0·689–0·744; Brier score 0·045, CITL 1·040, slope 1·009).
Interpretation
This novel prognostic risk score uses simple predictor variables available at the time of a decision for elective surgery that can accurately stratify patients’ risk of postoperative pulmonary complications, including during SARS-CoV-2 outbreaks. It could inform surgical consent, resource allocation, and hospital-level prioritisation as elective surgery is upscaled to address global backlogs.
Funding
National Institute for Health Research.

Dönmez, E. A., A. G. Goswami, A. Raheja, A. Bhadani, A. E. S. El Kady, A. Alniemi, A. Awad, A. Aladl, A. Younis, A. Alwali, et al., Access to and quality of elective care: a prospective cohort study using hernia surgery as a tracer condition in 83 countries, , 2024. AbstractWebsite

SummaryBackground
Timely and safe elective health care facilitates return to normal activities for patients and prevents emergency admissions. Surgery is a cornerstone of elective care and relies on complex pathways. This study aimed to take a whole-system approach to evaluating access to and quality of elective health care globally, using inguinal hernia as a tracer condition.
Methods
This was a prospective, international, cohort study conducted between Jan 30 and May 21, 2023, in which any hospital performing inguinal hernia repairs was eligible to take part. Consecutive patients of any age undergoing primary inguinal hernia repair were included. A measurement set mapped to the attributes of WHO's Health System Building Blocks was defined to evaluate access (emergency surgery rates, bowel resection rates, and waiting times) and quality (mesh use, day-case rates, and postoperative complications). These were compared across World Bank income groups (high-income, upper-middle-income, lower-middle-income, and low-income countries), adjusted for hospital and country. Factors associated with postoperative complications were explored with a three-level multilevel logistic regression model.
Findings
18 058 patients from 640 hospitals in 83 countries were included, of whom 1287 (7·1%) underwent emergency surgery. Emergency surgery rates increased from high-income to low-income countries (6·8%, 9·7%, 11·4%, 14·2%), accompanied by an increase in bowel resection rates (1·2%, 1·4%, 2·3%, 4·2%). Overall waiting times for elective surgery were similar around the world (median 8·0 months from symptoms to surgery), largely because of delays between symptom onset and diagnosis rather than waiting for treatment. In 14 768 elective operations in adults, mesh use decreased from high-income to low-income countries (97·6%, 94·3%, 80·6%, 61·0%). In patients eligible for day-case surgery (n=12 658), day-case rates were low and variable (50·0%, 38·0%, 42·1%, 44·5%). Complications occurred in 2415 (13·4%) of 18 018 patients and were more common after emergency surgery (adjusted odds ratio 2·06, 95% CI 1·72–2·46) and bowel resection (1·85, 1·31–2·63), and less common after day-case surgery (0·39, 0·34–0·44).
Interpretation
This study demonstrates that elective health care is essential to preventing over-reliance on emergency systems. We identified actionable targets for system strengthening: clear referral pathways and increasing mesh repair in lower-income settings, and boosting day-case surgery in all income settings. These measures might strengthen non-surgical pathways too, reducing the burden on society and health services.
Funding
NIHR Global Health Research Unit on Global Surgery and Portuguese Hernia and Abdominal Wall Society (Sociedade Portuguesa de Hernia e Parede Abdominal).

Gad, M. A., M. M. Qinawy, O. Abdelazim, S. N. Kaddah, M. M. Elbarbary, and M. A. Elfiky, "Comparative study of laparoscopic Nissen fundoplication versus Hill-Snow procedure for the treatment of gastroesophageal reflux disease in children: a single-blinded randomized controlled trial", Annals of Pediatric Surgery, vol. 19, issue 1, pp. 8, 2023. AbstractWebsite

Gastroesophageal reflux disease (GERD) is a common condition in children. Complete fundoplication provides better reflux control but it results in more dysphagia and gas-bloat symptoms. Antireflux surgery without wrap has fewer adverse effects but a higher failure rate in controlling reflux. Until now, there is little evidence as to whether complete or partial fundoplication is the optimal procedure in this age group.

for and on Surgery, N. I. H. C. R. G. H. R. U. G., "Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries", British Journal of Surgery, vol. 110, issue 7, pp. 804-817, 2023/04/20. AbstractWebsite

Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres.This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries.In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia.This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries.The effects of climate change need urgent action. Most countries and organizations have made commitments to reduce carbon. Healthcare, and especially surgery, is responsible for producing a large amount of carbon and for other behaviours that are harmful to the environment. The aim of this study was to identify the most practical and safe interventions to make surgery more environmentally friendly. Interventions to achieve green surgery were found in the literature and added to a list. The list was ordered and shortened, following advice of doctors and patients. The safest and most practical interventions were at the top. The top three areas for change were to reduce the use of one-use items and energy, recycle, and manage waste appropriately. There are several ways that we can make surgery greener. The list produced gives us practical examples of what can be done.