Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

Spatiotemporal dynamics of Bacillus anthracis under climate change: a machine learning approach

This study examines the spatiotemporal dynamics of Bacillus anthracis, the causative agent of anthrax, under climate change scenarios using advanced machine learning techniques. Climate change is increasingly recognized as a critical factor influencing the distribution and transmission dynamics of infectious diseases, particularly those reliant on environmental reservoirs. Our research employs Maximum Entropy (Maxent) modeling to forecast the current global distribution of B. anthracis based on climatic factors and to predict future habitat suitability under various Coupled Model Intercomparison Project Phase 5 (CMIP5) scenarios (RCP-2.6 and RCP-8.5) for the 2050’s and 2070’s. We identify high-risk areas where climate change may enhance the suitability for B. anthracis, emphasizing the need for proactive monitoring and early-warning systems. The findings indicate potential shifts in anthrax-endemic zones, with new regions becoming conducive to the establishment of B. anthracis due to the changing climate. Our results demonstrate the applicability of machine learning in predicting disease risk, providing a framework for public health preparedness in light of evolving environmental challenges. These insights are critical for developing targeted surveillance strategies and mitigating the introduction of zoonotic diseases in a warming environment

Use of Telemedicine for Postdischarge Assessment of the Surgical Wound: International Cohort Study, and Systematic Review With Meta-analysis

Objective: This study aimed to determine whether remote wound reviews using telemedicine can be safely upscaled, and if standardized assessment tools are needed. // Background: Surgical site infection (SSI) is the most common complication of surgery worldwide, and frequently occurs after hospital discharge. Evidence to support implementation of telemedicine during postoperative recovery will be an essential component of pandemic recovery. // Methods: The primary outcome of this study was SSI reported up to 30 days after surgery (SSI), comparing rates reported using telemedicine (telephone and/or video assessment) to those with in-person review. The first part of this study analyzed primary data from an international cohort study of adult patients undergoing abdominal surgery who were discharged from hospital before 30 days after surgery. The second part combined this data with the results of a systematic review to perform a meta-analysis of all available data conducted in accordance with PRIMSA guidelines (PROSPERO:192596). // Results: The cohort study included 15,358 patients from 66 countries (8069 high, 4448 middle, 1744 low income). Of these, 6907 (45.0%) were followed up using telemedicine. The SSI rate reported using telemedicine was slightly lower than with in-person follow-up (13.4% vs 11.1%, P<0.001), which persisted after risk adjustment in a mixed-effects model (adjusted odds ratio: 0.73, 95% confidence interval: 0.63–0.84, P<0.001). This association was consistent across sensitivity and subgroup analyses, including a propensity-score matched model. In 9 eligible nonrandomized studies identified, a pooled mean of 64% of patients underwent telemedicine follow-up. Upon meta-analysis, the SSI rate reported was lower with telemedicine (odds ratio: 0.67, 0.47–0.94) than in-person (reference) follow-up (I2=0.45, P=0.12), although there a high risk of bias in included studies. // Conclusions: Use of telemedicine to assess the surgical wound postdischarge is feasible, but risks underreporting of SSI. Standardized tools for remote assessment of SSI must be evaluated and adopted as telemedicine is upscaled globally

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P &lt; 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Assessing the Egyptian Public Housing Policies and Governance Modes (1952-2020), Towards Achieving a Sustainable Integrated Urban Approach

Public housing provision is one of the most urgent problems in Egypt; over the last 70 years, the leading provider was the state, problems were coping with the high demand, as well as the quality of the units concerning household's requirements.This paper discusses and analyzes the development of the international housing policies for low-income categories, from direct provision to sustainable integrated approach, compared to Egypt's public housing policies, governance modes during the last 70 years. This paper divides this period into four main phases according to the state political and economic approach in each phase, starting with the first intention for public housing projects through socialism, passing by the open door policy, capitalism, and the variety of housing schemes. Finally, the state initiatives after 2011 through the national social housing program. </jats:p

Functional outcomes in post Covid-19 patients with persistent dyspnea: multidisciplinary approach

AbstractBackground: Post-acute sequelae of SARS-CoV-2 (PASC) have emerged as a major health issue in patients who have previously been infected with Covid-19 virus. Purpose: we aimed at the assessment of functional outcomes in post Covid-19 patients with persistent dyspnea using a multidisciplinary approach including clinical assessment, laboratory investigations, exercise ECG, and different echo-Doppler modalities, including left atrial functions. Methods: The current observational randomized controlled study conducted on 60- patients one month after recovery from Covid-19 infection presented with persistent dyspnea compared to 30 healthy volunteers. All participants were subjected to evaluation of dyspnea by different scores, laboratory investigations, stress ECG, and echo-Doppler examination to measure LV dimensions, volumes, systolic and diastolic functions by M-mode, 2D, and tissue Doppler imaging in addition to 2-D speckle tacking LA strain. Results: Post Covid-19 patients had persistent elevation of inflammatory markers, low functional capacity (evidenced by a higher NYHA class, m MRC score, PCFS scale) and decreased METs by stress ECG compared to control group. Post Covid-19 patients showed LV diastolic dysfunction and impairment of 2D-STE LA functions compared to control group. We found negative correlations between LA strain with NYHA class, mMRC scale, LAVI, ESR and CRP; meanwhile, there were significant positive correlations between LA strain with exercise duration and METs. Conclusion: post Covid patients presented with persistent dyspnea demonstrated low functional capacity evidenced by different scores and stress ECG. Moreover, patients with post Covid syndrome showed elevated inflammatory biomarkers, LV diastolic dysfunction in addition to impaired LA strain functions. Impairment of LA strain was closely correlated to different functional scores, inflammatory biomarkers, exercise duration, and METs suggesting that these could to be the possible etiologies for the persistence of post Covid symptoms.</jats:p