Four Years And More Than 200,000 Deaths Later: Lessons Learned From The COVID-19 Pandemic In US Nursing Homes.

Nursing home residents and staff were disproportionately affected by the COVID-19 pandemic, drawing attention to long-standing challenges of poor infection control, understaffing, and substandard quality of care in many facilities. Evolving practices and policies during the pandemic often focused on these challenges, with little effect. Despite the emergence of best practices to mitigate transmission of the virus, even the highest-quality facilities experienced outbreaks, indicating a larger systemic problem, rather than a quality problem at the facility level. Here we present a narrative review and discussion of the evolution of policies and practices and their effectiveness, drawing on evidence from the United States that was published during 2020-23. The lessons learned from this experience point to the need for more fundamental and nuanced changes to avoid similar outcomes from a future pandemic: greater integration of long-term care into public health planning, and ultimately a shift in the physical structure of nursing homes. More incremental measures such as vaccination mandates, higher staffing, and balancing infection control with resident quality of life will avoid some adverse outcomes, but without more systemic change, nursing home residents and staff will remain at substantial risk for repetition of the poor outcomes from the COVID-19 pandemic.

Ambient PM2.5 temporal variation and source apportionment in Mbarara, Uganda.

Air pollution is the leading environmental cause of death globally, and most mortality occurs in resource-limited settings such as sub-Saharan Africa. The African continent experiences some of the worst ambient air pollution in the world, yet there are relatively little African data characterizing ambient pollutant levels and source admixtures. In Uganda, ambient PM2.5 levels exceed international health standards. However, most studies focus only on urban environments and do not characterize pollutant sources. We measured daily ambient PM2.5 concentrations and sources in Mbarara, Uganda from May 2018 through February 2019 using Harvard impactors fitted with size-selective inlets. We compared our estimates to publicly available levels in Kampala, and to World Health Organization (WHO) air quality guidelines. We characterized the leading PM2.5 sources in Mbarara using x-ray fluorescence and positive matrix factorization. Daily PM2.5 concentrations were 26.7 µg m-3 and 59.4 µg m-3 in Mbarara and Kampala, respectively (p<0.001). PM2.5 concentrations exceeded WHO guidelines on 58% of days in Mbarara and 99% of days in Kampala. In Mbarara, PM2.5 was higher in the dry as compared to the rainy season (30.8 vs 21.3, p<0.001), while seasonal variation was not observed in Kampala. PM2.5 concentrations did not vary on weekdays versus weekends in either city. In Mbarara, the six main ambient PM2.5 sources identified included (in order of abundance): traffic-related, biomass and secondary aerosols, industry and metallurgy, heavy oil and fuel combustion, fine soil, and salt aerosol. Our findings confirm that air quality in southwestern Uganda is unsafe and that mitigation efforts are urgently needed. Ongoing work focused on improving air quality in the region may have the greatest impact if focused on traffic and biomass-related sources.

Brain-age prediction: Systematic evaluation of site effects, and sample age range and size.

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain-age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain-age has highlighted the need for robust and publicly available brain-age models pre-trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain-age model. Here we expand this work to develop, empirically validate, and disseminate a pre-trained brain-age model to cover most of the human lifespan. To achieve this, we selected the best-performing model after systematically examining the impact of seven site harmonization strategies, age range, and sample size on brain-age prediction in a discovery sample of brain morphometric measures from 35,683 healthy individuals (age range: 5-90 years; 53.59% female). The pre-trained models were tested for cross-dataset generalizability in an independent sample comprising 2101 healthy individuals (age range: 8-80 years; 55.35% female) and for longitudinal consistency in a further sample comprising 377 healthy individuals (age range: 9-25 years; 49.87% female). This empirical examination yielded the following findings: (1) the accuracy of age prediction from morphometry data was higher when no site harmonization was applied; (2) dividing the discovery sample into two age-bins (5-40 and 40-90 years) provided a better balance between model accuracy and explained age variance than other alternatives; (3) model accuracy for brain-age prediction plateaued at a sample size exceeding 1600 participants. These findings have been incorporated into CentileBrain (https://centilebrain.org/#/brainAGE2), an open-science, web-based platform for individualized neuroimaging metrics.

The Association Between a Neighborhood Adverse Childhood Experiences Index and Body Mass Index Among New York City Youth.

Background: The role of neighborhood factors in the association between adverse childhood experiences (ACEs) and body mass index (BMI) has not been widely studied. A neighborhood ACEs index (NAI) captures neighborhood environment factors associated with ACE exposure. This study examined associations between BMI and an NAI among New York City (NYC) youth. An exploratory objective examined the NAI geographic distribution across NYC neighborhoods. Methods: Data for students attending NYC public general education schools in kindergarten-12th grade from 2006-2017 (n = 1,753,867) were linked to 25 geospatial datasets capturing neighborhood characteristics for every census tract in NYC. Multivariable hierarchical linear regression tested associations between BMI and the NAI; analyses also were conducted by young (<8 years), school age (8-12 years), and adolescent (>12 years) subgroups. In addition, NAI was mapped by census tract, and local Moran's I identified clusters of high and low NAI neighborhoods. Results: Higher BMI was associated with higher NAI across all sex and age groups, with largest magnitude of associations for girls (medium NAI vs. low NAI: unstandardized ß = 0.112 (SE 0.008), standardized ß [effect size]=0.097, p < 0.001; high NAI vs. low NAI: unstandardized ß = 0.195 (SE 0.008), standardized ß = 0.178, p < 0.001) and adolescents (medium NAI vs. low NAI: unstandardized ß = 0.189 (SE 0.014), standardized ß = 0.161, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.364 (SE 0.015), standardized ß = 0.334, p < 0.001 for adolescent girls; medium NAI vs. low NAI: unstandardized ß = 0.122 (SE 0.014), standardized ß = 0.095, p < 0.001, high NAI vs. low NAI: unstandardized ß = 0.217 (SE 0.015), standardized ß = 0.187, p < 0.001 for adolescent boys). Each borough of NYC included clusters of neighborhoods with higher and lower NAI exposure, although clusters varied in size and patterns of geographic dispersion across boroughs. Conclusions: A spatial index capturing neighborhood environment factors associated with ACE exposure is associated with higher BMI among NYC youth. Findings complement prior literature about relationships between neighborhood environment and obesity risk, existing research documenting ACE-obesity associations, and the potential for neighborhood factors to be a source of adversity. Collectively, evidence suggests that trauma-informed place-based obesity reduction efforts merit further exploration as potential means to interrupt ACE-obesity associations.

Medical education in Georgia.

Since 1991, there have been significant changes in medical education in Georgia. Key changes include adapting national legislation toward international standards, establishing the National Center for Education Quality Enhancement (NCEQE), which was recognized in 2018 by the World Federation for Medical Education (WFME) as an accrediting agency and opening the Association for Medical Education in Europe (AMEE) International Networking Center in 2019. Undergraduate medical education, regulated by the Ministry of Education, Science and Youth of Georgia, spans six years. MD graduates then have options for further career paths, including working as junior doctors, residency, and/or pursuing PhD research.The main challenges the country presently faces are:the need to reduce the increasing number of (mainly) private medical schools. Recent updates to the national standards for undergraduate medical education have imposed stricter accreditation requirements for MD programs, resulting in the closure of schools that fail to meet these standards;postgraduate medical education is governed by the Ministry of Internally Displaced Persons from the Occupied Territories, Labor, Health and Social Affairs of Georgia (MOH) and needs further reform due to limited and paid residency positions;continuous professional development (CPD) was optional until recently, which led to an increase in professional inaccuracy and malpractice cases. To address this, regulatory bodies, including the MOH and professional associations, are preparing the legal basis for introducing compulsory CPD.

Racial difference in receiving computed tomography for head injury patients in emergency departments.

STUDY OBJECTIVE: Prior studies have suggested potential racial differences in receiving imaging tests in emergency departments (EDs), but the results remain inconclusive. In addition, most prior studies may only have limited racial groups for minority patients. This study aimed to investigate racial differences in head computed tomography (CT) administration rates in EDs among patients with head injuries. METHODS: Patients with head injuries who visited EDs were examined. The primary outcome was patients receiving head CT during ED visits, and the primary exposure was patient race/ethnicity, including Asian, Hispanic, Non-Hispanic Black (Black), and Non-Hispanic White (White). Multivariable logistic regression analyses were performed using the National Hospital Ambulatory Medical Care Survey database, adjusting for patients and hospital characteristics. RESULTS: Among 6130 patients, 51.9% received a head CT scan. Asian head injury patients were more likely to receive head CT than White patients (59.1% versus 54.0%, difference 5.1%, p < 0.001). This difference persisted in adjusted results (odds ratio, 1.52; 95% CI, 1.06-2.16, p = 0.022). In contrast, Black and Hispanic patients have no significant difference in receiving head CT than White patients after the adjustment. CONCLUSIONS: Asian head injury patients were more likely to receive head CT than White patients. This difference may be attributed to the limited English proficiency among Asian individuals and the fact that there is a wide variety of different languages spoken by Asian patients. Future studies should examine rates of receiving other diagnostic imaging modalities among different racial groups and possible interventions to address this difference.

Characteristics associated with effectiveness in postoperative delirium research: a systematic review of randomised controlled trials with meta-regression and meta-analysis.

BACKGROUND: Postoperative delirium remains prevalent despite extensive research through randomised trials aimed at reducing its incidence. Understanding trial characteristics associated with interventions' effectiveness facilitates data interpretation. METHODS: Trial characteristics were extracted from eligible trials identified through two systematic literature searches. Multivariable meta-regression was used to investigate trial characteristics associated with effectiveness estimated using odds ratios. Meta-analysis was used to investigate pooled effectiveness. RESULTS: We identified 201 eligible trials. Compared with China, trials from the USA/Canada (ratio of odds ratio, 1.89; 95% confidence interval, 1.45-2.45) and Europe/Australia/New Zealand (1.67; 1.29-2.18) had an 89% and 67% higher odds ratio, respectively, suggesting reduced effectiveness. The effectiveness was enhanced when the incidence of postoperative delirium increased (0.85; 0.79-0.92, per 10% increase). Trials with concerns related to deviations from intended interventions reported increased effectiveness compared with those at low risk (0.69; 0.53-0.90). Compared with usual care, certain interventions appeared to have reduced the incidence of postoperative delirium in low-risk trials with low-to-moderate certainty of evidence. However, these findings should be considered inconclusive because of challenges in grouping heterogeneous interventions, the limited number of eligible trials, the prevalence of small-scale studies, and potential publication bias. CONCLUSIONS: The effectiveness of postoperative delirium trials varied based on the region of trial origin, the incidence of delirium, and the risk of bias. The limitations caution against drawing definitive conclusions from different bodies of evidence. These findings highlight the imperative need to improve the quality of research on a global scale. SYSTEMATIC REVIEW PROTOCOL: PROSPERO (CRD42023413984).

The incidence of surgical site infection following major lower limb amputation: A systematic review.

Surgical site infections (SSIs) following major lower limb amputation (MLLA) in vascular patients are a major source of morbidity. The objective of this systematic review was to determine the incidence of SSI following MLLA in vascular patients. This review was prospectively registered with the International Prospective Register of Systematic Reviews (CRD42023460645). Databases were searched without date restriction using a pre-defined search strategy. The search identified 1427 articles. Four RCTs and 21 observational studies, reporting on 50 370 MLLAs, were included. Overall SSI incidence per MLLA incision was 7.2% (3628/50370). The incidence of SSI in patients undergoing through-knee amputation (12.9%) and below-knee amputation (7.5%) was higher than the incidence of SSI in patients undergoing above-knee amputation, (3.9%), p < 0.001. The incidence of SSI in studies focusing on patients with peripheral arterial disease (PAD), diabetes or including patients with both was 8.9%, 6.8% and 7.2%, respectively. SSI is a common complication following MLLA in vascular patients. There is a higher incidence of SSI associated with more distal amputation levels. The reported SSI incidence is similar between patients with underlying PAD and diabetes. Further studies are needed to understand the exact incidence of SSI in vascular patients and the factors which influence this.

Welcomed Pregnancies: Characteristics and Patterns of Adjusting to Unwanted, Unplanned, Untimely or Otherwise Difficult Pregnancies.

Background Women facing problematic pregnancies, defined as "unplanned, mistimed, unwanted, or otherwise difficult," either have abortions or make adjustments to welcome these pregnancies. These adjustments are understudied. Pregnancy resource centers that provide counseling and services to assist in the process of welcoming pregnancies have been the focus of controversy due to their refusal to counsel or refer for abortions. This survey of a national population of women seeks to quantify changes in attitudes toward problematic pregnancies that are not aborted and to gauge levels of contact with pregnancy help centers and perceptions of harm or benefits attributed to those contacts. Methodology A national research firm was enlisted to obtain 1,000 surveys completed by female residents of the United States aged 41-45, inclusive. Women reporting a history of abortion were surveyed along one path. For those who did not have abortions but reported a problematic pregnancy, questions were presented to assess changes in attitude toward their pregnancy from the date they first learned they were pregnant to 90 days later, their considerations of abortion, whether they had contact with a pregnancy help center, and their assessment of that contact on either harming or improving their lives. Results Among 275 respondents who had no history of abortion but had ultimately welcomed a problematic pregnancy, 112 (40.7%) had been at higher risk of abortion. Positive attitudes toward their pregnancies increased most rapidly for women who had been at higher risk of abortion but were lower on the day they first learned they were pregnant. Overall, 34 (12.4%) reported they had contacted a pregnancy help center that did not refer for abortions. Another 37 (13.5%) were uncertain if they had contacted an organization fitting that description. Both groups reported the contact improved their lives, on average. Negative assessments were uncommon and all were of a small degree. Conclusions Women facing problematic pregnancies who did not choose abortion experienced rapid improvements in feelings of wantedness, timeliness, acceptance, welcoming, and desirability toward the pregnancy. The rate of improvement was most rapid among those who had investigated and considered abortion. Women reporting contact with pregnancy help centers almost always assess it as having improved their lives.

North American Fetal Therapy Network: Maternal Outcomes in Fetal Aqueductal Stenosis.

INTRODUCTION: Fetal aqueductal stenosis (AS) affects approximately 1:1,000 pregnancies. Obstruction of cerebral spinal fluid (CSF) circulation occurs at the aqueduct of Sylvius, leading to progressive hydrocephalus, often necessitating cesarean section (CS) with a classical uterine incision. The purpose of this study is to describe maternal outcomes associated with fetal aqueductal stenosis. METHODS: This study is conducted through the North American Fetal Therapy Network (NAFTNet). Subjects were recruited at the diagnosis of severe CNS ventriculomegaly and were followed longitudinally. Maternal events around the delivery of fetuses with AS were recorded and analyzed. RESULTS: Thirty-seven subjects with fetal AS confirmed by neonatal neuroimaging were analyzed. The average gestation at delivery was 36.7 weeks. Overall, 86% were delivered by cesarean section (CS), and 62% of these were elective. Sixty-two percent were delivered electively by cesarean section (CS). Eighty-six percent were delivered by cesarean section. Ninety one percent of CSs were performed through a Pfannenstiel abdominal incision. A classical uterine incision was required in 13% of cesarean deliveries. The peripartum complication rate was 27%. CONCLUSION: Women carrying a fetus with AS were at risk for preterm birth, cesarean delivery, a classical uterine incision, and peripartum complications. These data highlight the maternal morbidity associated with fetal AS, and the potential benefit of in-utero therapy not only for neonatal but also maternal outcomes.

CRP and sCD25 help distinguish between adult-onset Still's disease and HLH.

OBJECTIVE: Adult-onset Still's disease (AOSD) and secondary hemophagocytic lymphohistiocytosis (sHLH) are both hyperferritinemic cytokine storm syndromes that can be difficult to distinguish from each other in hospitalized patients. The objective of this study was to compare the inflammatory markers ferritin, D-dimer, C-reactive protein (CRP), and soluble CD25 (sCD25) in patients with AOSD and sHLH. These four markers were chosen as they are widely available and represent different aspects of inflammatory diseases: macrophage activation (ferritin); endothelialopathy (D-dimer); interleukin-1/interleukin-6/tumour necrosis factor elevation (CRP) and T cell activation (sCD25). METHODS: This was a single-center retrospective study. Patients diagnosed by the Hematology service at Vancouver General Hospital for AOSD or sHLH from 2009 to 2023 were included. RESULTS: There were 16 AOSD and 44 sHLH patients identified. Ferritin was lower in AOSD than HLH (median 11 360 µg/L vs. 29 020 µg/L, p = .01) while D-dimer was not significantly different (median 5310 mg/L FEU vs. 7000 mg/L FEU, p = .3). CRP was higher (median 168 mg/L vs. 71 mg/L, p <.01) and sCD25 was lower (median 2220 vs. 7280 U/mL, p = .004) in AOSD compared to HLH. The combined ROC curve using CRP >130 mg/L and sCD25< 3900 U/mL to distinguish AOSD from HLH had an area under the curve (AUC) of 0.94 (95% confidence interval 0.93-0.97) with sensitivity 91% and specificity 93%. CONCLUSIONS: These findings suggest that simple, widely available laboratory tests such as CRP and sCD25 can help clinicians distinguish AOSD from HLH in acutely ill adults with extreme hyperferritinemia. Larger studies examining a wider range of clinically available inflammatory biomarkers in a more diverse set of cytokine storm syndromes are warranted.

Image synthesis of interictal SPECT from MRI and PET using machine learning.

Background: Cross-modality image estimation can be performed using generative adversarial networks (GANs). To date, SPECT image estimation from another medical imaging modality using this technique has not been considered. We evaluate the estimation of SPECT from MRI and PET, and additionally assess the necessity for cross-modality image registration for GAN training. Methods: We estimated interictal SPECT from PET and MRI as a single-channel input, and as a multi-channel input to the GAN. We collected data from 48 individuals with epilepsy and converted them to 3D isotropic images for consistence across the modalities. Training and testing data were prepared in native and template spaces. The Pix2pix framework within the GAN network was adopted. We evaluated the addition of the structural similarity index metric to the loss function in the GAN implementation. Root-mean-square error, structural similarity index, and peak signal-to-noise ratio were used to assess how well SPECT images were able to be synthesised. Results: High quality SPECT images could be synthesised in each case. On average, the use of native space images resulted in a 5.4% percentage improvement in SSIM than the use of images registered to template space. The addition of structural similarity index metric to the GAN loss function did not result in improved synthetic SPECT images. Using PET in either the single channel or dual channel implementation led to the best results, however MRI could produce SPECT images close in quality. Conclusion: Synthesis of SPECT from MRI or PET can potentially reduce the number of scans needed for epilepsy patient evaluation and reduce patient exposure to radiation.

Detection of Noncovalent Protein-Ligand Complexes by IR-MALDESI-MS.

Native mass spectrometry (MS) is a powerful analytical technique to directly probe noncovalent protein-protein and protein-ligand interactions. However, not every MS platform can preserve proteins in their native conformation due to high energy deposition from the utilized ionization source. Most small molecules approved as drugs and in development interact with their targets through noncovalent interactions. Therefore, rapid methods to analyze noncovalent protein-ligand interactions are necessary for the early stages of the drug discovery pipeline. Herein, we describe a method for analyzing noncovalent protein-ligand complexes by IR-MALDESI-MS with analysis times of ∼13 s per sample. Carbonic anhydrase and the kinase domain of Bruton's tyrosine kinase are paired with known noncovalent binders to evaluate the effectiveness of native MS by IR-MALDESI.

Deep learning of Parkinson's movement from video, without human-defined measures.

BACKGROUND: The core clinical sign of Parkinson's disease (PD) is bradykinesia, for which a standard test is finger tapping: the clinician observes a person repetitively tap finger and thumb together. That requires an expert eye, a scarce resource, and even experts show variability and inaccuracy. Existing applications of technology to finger tapping reduce the tapping signal to one-dimensional measures, with researcher-defined features derived from those measures. OBJECTIVES: (1) To apply a deep learning neural network directly to video of finger tapping, without human-defined measures/features, and determine classification accuracy for idiopathic PD versus controls. (2) To visualise the features learned by the model. METHODS: 152 smartphone videos of 10s finger tapping were collected from 40 people with PD and 37 controls. We down-sampled pixel dimensions and videos were split into 1 s clips. A 3D convolutional neural network was trained on these clips. RESULTS: For discriminating PD from controls, our model showed training accuracy 0.91, and test accuracy 0.69, with test precision 0.73, test recall 0.76 and test AUROC 0.76. We also report class activation maps for the five most predictive features. These show the spatial and temporal sections of video upon which the network focuses attention to make a prediction, including an apparent dropping thumb movement distinct for the PD group. CONCLUSIONS: A deep learning neural network can be applied directly to standard video of finger tapping, to distinguish PD from controls, without a requirement to extract a one-dimensional signal from the video, or pre-define tapping features.

Efficacy and safety of SGLT2 inhibitors with and without glucagon-like peptide 1 receptor agonists: a SMART-C collaborative meta-analysis of randomised controlled trials.

BACKGROUND: SGLT2 inhibitors and GLP-1 receptor agonists both improve cardiovascular and kidney outcomes in patients with type 2 diabetes. We sought to evaluate whether the benefits of SGLT2 inhibitors are consistent in patients receiving and not receiving GLP-1 receptor agonists. METHODS: We conducted a collaborative meta-analysis of trials included in the SGLT2 Inhibitor Meta-Analysis Cardio-Renal Trialists' Consortium, restricted to participants with diabetes. Treatment effects from individual trials were obtained from Cox regression models and pooled using inverse variance weighted meta-analysis. The two main cardiovascular outcomes assessed included major adverse cardiovascular events (nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death), and hospitalisation for heart failure or cardiovascular death. The main kidney outcomes assessed were chronic kidney disease progression (≥40% decline in estimated glomerular filtration rate [eGFR], kidney failure [eGFR <15 mL/min/1·73 m2, chronic dialysis, or kidney transplantation], or death due to kidney failure), and the rate of change in eGFR over time. Safety outcomes were also assessed. FINDINGS: Across 12 randomised, double-blind, placebo-controlled trials, 3065 (4·2%) of 73 238 participants with diabetes were using GLP-1 receptor agonists at baseline. SGLT2 inhibitors reduced the risk of major adverse cardiovascular events in participants both receiving and not receiving GLP-1 receptor agonists (hazard ratio [HR] 0·81, 95% CI 0·63-1·03 vs 0·90, 0·86-0·94; p-heterogeneity=0·31). Effects on hospitalisation for heart failure or cardiovascular death (0·76, 0·57-1·01 vs 0·78, 0·74-0·82; p-heterogeneity=0·90) and chronic kidney disease progression (0·65, 0·46-0·94 vs 0·67, 0·62-0·72; p-heterogeneity=0·81) were also consistent regardless of GLP-1 receptor agonist use, as was the effect on the chronic rate of change in eGFR over time (heterogeneity=0·92). Fewer serious adverse events occurred with SGLT2 inhibitors compared with placebo, irrespective of GLP-1 receptor agonist use (relative risk 0·87, 95% CI 0·79-0·96 vs 0·91, 0·89-0·93; p-heterogeneity=0·41). INTERPRETATION: The effects of SGLT2 inhibitors on cardiovascular and kidney outcomes are consistent regardless of the background use of GLP-1 receptor agonists. These findings suggest independent effects of these evidence-based therapies and support clinical practice guidelines recommending the use of these agents in combination to improve cardiovascular and kidney metabolic outcomes. FUNDING: National Health and Medical Research Council of Australia and the Ramaciotti Foundation.

A Phase 2 Multicenter Clinical Trial of Intraoperative Molecular Imaging of Lung Cancer with a pH-Activatable Nanoprobe.

PURPOSE: Intraoperative molecular imaging (IMI) uses tumor-targeted optical contrast agents to improve identification and clearance of cancer. Recently, a probe has been developed that only fluoresces when activated in an acidic pH, which is common to many malignancies. We report the first multicenter Phase 2 trial of a pH-activatable nanoprobe (pegsitacianine, ONM-100) for IMI of lung cancer. METHODS: Patients with suspected or biopsy-confirmed lung cancer scheduled for sublobar resection were administered a single intravenous infusion of pegsitacianine (1 mg/kg) one to three days prior to surgery. Intraoperatively, the patients underwent a white light thoracoscopic evaluation, and then were imaged with an NIR thoracoscope to detect tumor fluorescence. The primary study endpoint was the proportion of patients with a clinically significant event (CSE) which was defined as an intraoperative discovery during IMI that led to a change in the surgical procedure. Possible CSEs included (i) localizing the index lung nodule that could not be located by white light, (ii) identifying a synchronous malignant lesion, or (iii) recognizing a close surgical margin (< = 10 mm). Secondary endpoints were sensitivity, specificity, NPV, and PPV of pegsitacianine in detecting tumor-containing tissue. The safety evaluation was based on adverse event reporting, clinical laboratory parameters, and physical examinations. RESULTS: Twenty patients were confirmed as eligible and administered pegsitacianine. Most of the patients were female (n = 12 [60%]), middle-aged (mean age 63.4 years), and former smokers (n = 13 [65%], 28.6 mean pack years). Mean lesion size was 1.9 cm, and most lesions (n = 17 [85%]) were malignant. The most common histologic subtype was adenocarcinoma (n = 9). By utilizing IMI with pegsitacianine, one patient had a CSE in the detection of a close margin and another had localization of a tumor not detectable by traditional surgical means. Six of 19 (31.6%) malignant lesions fluoresced with mean tumor-to-background ratio (TBR) of 3.00, as compared to TBR of 1.20 for benign lesions (n = 3). Sensitivity and specificity of pegsitacianine-based IMI for detecting malignant tissue was 31.6% and 33.3%, respectively. Positive predictive value (PPV) and negative predictive value (NPV) of pegsitacianine-based IMI was 75% and 7.1%, respectively. Pegsitacianine-based imaging was not effective in differentiating benign and malignant lymph nodes. From a safety perspective, no drug-related serious adverse events occurred. Four patients experienced mild pegsitacianine-related infusion reactions which required discontinuing the study drug with complete resolution of symptoms. CONCLUSIONS: Pegsitacianine-based IMI, though well tolerated from a safety perspective, does not consistently label lung tumors during resection and does not provide significant clinical benefit over existing standards of surgical care. The biology of lung tumors may not be as acidic as other solid tumors in the body thereby not activating the probe as predicted.

Reuse of Surgical Masks During the COVID-19 Shortage: Association with the Incidence of Surgical Site Infections.

The association between the reuse of surgical masks (SMs) for multiple procedures and rates of surgical site infections (SSIs) is unclear. Hence, the purpose of this study was to determine whether a policy mandating the reuse of SMs was associated with increased SSI incidence. It was hypothesized the rate of SSIs would be significantly greater during the postimplementation period compared with the preimplementation period. Retrospective chart review of patients who underwent orthopaedic and general surgery during the 60 days before and after policy implementation was performed. Focus was on consecutive procedures performed by the same surgeon on the same day. An assessment of SSI risk factors suggested the postimplementation group was at higher risk. However, the daily use of a single SM across multiple procedures was not associated with a clinically significant increase in SSIs. Because future pandemics and public health crises may be accompanied by similar shortages, it may be possible to reuse masks in these situations without concern for increased SSI. (Journal of Surgical Orthopaedic Advances 33(2):097-102, 2024).

Neighborhood Poverty and Clinic Attendance in the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine Program.

PRECIS: Higher neighborhood-level poverty is associated with greater odds of missing a free eye disease screening appointment, underscoring the importance of community-based interventions to address upstream social determinants of health. PURPOSE: To investigate the association between neighborhood-level characteristics and attendance for a free eye disease screening. PATIENTS AND METHODS: The MI-SIGHT program is conducted in two community clinics in Southeastern Michigan. Participant-level demographics were extracted from electronic health records. Neighborhood level-characteristics including Area Deprivation Index (ADI), median household income (HHI), percent of households with >30% rent burden, percent of households without vehicles, percent of households in subsidized housing, and energy burden were obtained from the Wisconsin Neighborhood Atlas and the United States census. Logistic regression was used to model the probability of clinic visit attendance, which was the main outcome measure. RESULTS: 1431 participants were scheduled for screening appointments between July 2020 to November 2021, with a no-show rate of 23%. Individuals lived an average of 7.7 miles from each clinic (SD=8.1) and in neighborhoods with a mean ADI of 6.8 (SD=3.2, 1-10 scale where 10 is the most deprived). After adjusting for age, sex, race, and ethnicity, participants from neighborhoods with higher deprivation were more likely to have missed clinic visits. For example, there was an 8% higher odds of missed clinic visits for every 1-point increase in ADI (odds ratio, OR=1.08, P=0.020) and an 18% higher odds of a missed visit with every 10% increase in households without a vehicle (OR=1.18, P=0.013). CONCLUSION: Higher neighborhood-level poverty was associated with greater odds of missing a free eye disease screening appointment after adjusting for individual characteristics. Increased neighborhood-level resources are likely needed to bolster engagement in preventive eye care.