Effectiveness of the Spot ™ Vision Screener with Variations in Ocular Pigments.

PURPOSE: To evaluate Spot in detecting AAPOS Amblyopia risk factors (ARF) and for ARF myopia and hyperopia with variations in ocular pigments. DESIGN: Diagnostic screening test evaluation Methods: STUDY POPULATION: Children presented for a complete eye examination in pediatric clinic. The study population included 1040 participants, of whom 273 had darkly pigmented eyes, 303 were medium pigmented, and 464 were light pigmented. INTERVENTION: Children were screened with the Spot vision screener before the complete eye examination. A pediatric ophthalmologist then completed an eye examination, including cycloplegic refraction. The pediatric ophthalmologist was blinded to the result of the spot vision screener. MAIN OUTCOME: The association between Spot screening recommendation and meeting one or more ARF/ARF + Amblyopia criterion, Spot measured spherical equivalent, and ARF myopia and hyperopia detection. RESULTS: The area under the receiver operative characteristic curve (AUC) for myopia was excellent for all. The AUC for hyperopia was good (darker-pigmented: 0.92, medium-pigmented: 0.81, and lighter-pigmented: 0.86 eyes). The Spot was most sensitive for ARF myopia (lighter-pigmented: 0.78, medium-pigmented: 0.52, darker-pigmented: 0.49). The reverse is found for hyperopia; however, sensitivity was relatively poor. The Spot was found most sensitive for hyperopia in the darker-pigment group (0.46), 0.27 for medium-pigment, and 0.23 for the lighter-pigment cohort. CONCLUSIONS: While the Spot was confirmed as a sensitive screening test with good specificity in our large cohort, the sensitivity of the Spot in detecting AAPOS guidelines for myopia and hyperopia differed with variations in skin pigment. Our results support the consideration of ethnic and racial diversity in future advances in photorefractor technology.

Pregnancy complications and loss: an observational survey comparing anesthesiologists and obstetrician-gynecologists.

OBJECTIVE: While there is increasing information regarding the occupational risks to pregnant physicians, there is inconsistent and limited subspecialty data. Physicians may be at increased risk for pregnancy complications due to occupational exposure, long work hours, nightshifts, and physical/mental demands. Additionally, little is known regarding the education physicians receive pertaining to pregnancy risks respective to their specialties as well as departmental/institutional support for pregnancy loss or complication. Therefore, a survey was developed and distributed across multiple academic sites to ascertain if there is an inherent occupation-associated risk of pregnancy complication(s) and/or pregnancy loss for anesthesiologists (ANES) when compared to obstetrician/gynecologists (OB/GYN). METHODS: A specialty-specific survey was distributed electronically to attending ANES and OB/GYN, via departmental listservs at six participating academic medical centers. Responses were collected from March to October 2022 and included demographic information, practice characteristics, education about pregnancy risks and details of pregnancy complications and loss. The primary comparison between specialty groups was the occurrence of at least one pregnancy complication and/or loss. Logistic regression was used to evaluate specialty outcome associations. Additionally, complication rates and types between specialties were compared using univariate and multivariable models. RESULTS: The survey was distributed to 556 anesthesiology and 662 obstetrics-gynecology faculty members with 224 ANES and 168 OB/GYN respondents, yielding an overall 32.2% response rate. Of the survey respondents, 103 ANES and 116 OB/GYN reported at least one pregnancy. Demographics were similar between the two cohorts. ANES had higher gravidity and parity relative to OB/GYN and tended to be earlier in their career at first pregnancy (p = .008, <.001, and .043, respectively). The rate of any pregnancy complication, including loss, was similar between specialties (65.1% (67/103) vs. 65.5% (76/116), p = .942). Of the respondents reporting at least one pregnancy, 56.7% of ANES and 53.9% of OB/GYN experienced a complication while at work. Obstetrician-gynecologists had higher use of reproductive assistance (28% (47/116) vs. 11% (20/103), p < .001). There were no notable differences between cohorts for complications, prematurity, and neonatal intensive care admission. Forty-one percent (161/392) of total respondents recalled learning about occupational risks to pregnancy, and ANES were more likely than OB/GYN to have recalled learning about these risks (121/224 (54%) and 40/168 (23.8%), respectively, p < .001). CONCLUSIONS: ANES and OB/GYN had similar risks for pregnancy complications and loss. Anesthesiologists were more likely to recall receiving education regarding occupational risk to pregnancy, though fewer than half of all survey respondents recalled learning about these risks. Our survey results are similar to the previously identified higher rate of pregnancy complications and loss in female physicians while uncovering areas of potential knowledge gaps for which institutions and practices could strive to improve upon. More research is needed to examine the relationship between occupation and pregnancy risk pertaining to female physicians with the goal being to identify modifiable risk factors.

ß2-Adrenergic receptor agonists as a treatment for diabetic kidney disease.

We have previously shown that the long-acting ß2-adrenergic receptor (ß2-AR) agonist formoterol induced recovery from acute kidney injury in mice. To determine whether formoterol protected against diabetic nephropathy, the most common cause of end-stage kidney disease (ESKD), we used a high-fat diet (HFD), a murine type 2 diabetes model, and streptozotocin, a murine type 1 diabetes model. Following formoterol treatment, there was a marked recovery from and reversal of diabetic nephropathy in HFD mice compared with those treated with vehicle alone at the ultrastructural, histological, and functional levels. Similar results were seen after formoterol treatment in mice receiving streptozotocin. To investigate effects in humans, we performed a competing risk regression analysis with death as a competing risk to examine the association between Veterans with chronic kidney disease (CKD) and chronic obstructive pulmonary disease (COPD), who use ß2-AR agonists, and Veterans with CKD but no COPD, and progression to ESKD in a large national cohort of Veterans with stage 4 CKD between 2011 and 2013. Veterans were followed until 2016 or death. ESKD was defined as the initiation of dialysis and/or receipt of kidney transplant. We found that COPD was associated with a 25.6% reduction in progression from stage 4 CKD to ESKD compared with no COPD after adjusting for age, diabetes, sex, race-ethnicity, comorbidities, and medication use. Sensitivity analysis showed a 33.2% reduction in ESKD in Veterans with COPD taking long-acting formoterol and a 20.8% reduction in ESKD in Veterans taking other ß2-AR agonists compared with those with no COPD. These data indicate that ß2-AR agonists, especially formoterol, could be a treatment for diabetic nephropathy and perhaps other forms of CKD.NEW & NOTEWORTHY Diabetic nephropathy is the most common cause of ESKD. Formoterol, a long-acting ß2-adrenergic receptor (ß2-AR) agonist, reversed diabetic nephropathy in murine models of type 1 and 2 diabetes. In humans, there was an association with protection from progression of CKD in patients with COPD, by means of ß2-AR agonist intake, compared with those without COPD. These data indicate that ß2-AR agonists, especially formoterol, could be a new treatment for diabetic nephropathy and other forms of CKD.

multi-GPA-Tree: Statistical approach for pleiotropy informed and functional annotation tree guided prioritization of GWAS results.

Genome-wide association studies (GWAS) have successfully identified over two hundred thousand genotype-trait associations. Yet some challenges remain. First, complex traits are often associated with many single nucleotide polymorphisms (SNPs), most with small or moderate effect sizes, making them difficult to detect. Second, many complex traits share a common genetic basis due to 'pleiotropy' and and though few methods consider it, leveraging pleiotropy can improve statistical power to detect genotype-trait associations with weaker effect sizes. Third, currently available statistical methods are limited in explaining the functional mechanisms through which genetic variants are associated with specific or multiple traits. We propose multi-GPA-Tree to address these challenges. The multi-GPA-Tree approach can identify risk SNPs associated with single as well as multiple traits while also identifying the combinations of functional annotations that can explain the mechanisms through which risk-associated SNPs are linked with the traits. First, we implemented simulation studies to evaluate the proposed multi-GPA-Tree method and compared its performance with existing statistical approaches. The results indicate that multi-GPA-Tree outperforms existing statistical approaches in detecting risk-associated SNPs for multiple traits. Second, we applied multi-GPA-Tree to a systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA), and to a Crohn's disease (CD) and ulcertive colitis (UC) GWAS, and functional annotation data including GenoSkyline and GenoSkylinePlus. Our results demonstrate that multi-GPA-Tree can be a powerful tool that improves association mapping while facilitating understanding of the underlying genetic architecture of complex traits and potential mechanisms linking risk-associated SNPs with complex traits.

Prolongation of spinal duration by escalating doses of intrathecal epinephrine in lower limb arthroplasty.

Aim: The optimal dose of low-dose intrathecal epinephrine in the absence of intrathecal opioids is unknown. Materials & methods: Prospective, randomized, double blind clinical trial of patients undergoing lower limb arthroplasties. The primary end point was spinal block duration measured via motor and sensory block duration. Results: 30 patients undergoing lower limb arthroplasty were randomized into one of six groups with varying intrathecal epinephrine doses 0-100 mcg. There was a direct linear effect between motor block duration and intrathecal epinephrine dose with higher doses being associated with longer block duration (p = 0.011). Mean motor block duration was 3.74 ± 1.13, 3.36 ± 0.47, 3.39 ± 0.60, 4.06 ± 0.98 and 5.20 ± 1.41 h for the EPI0, EPI25, EPI50, EPI75 and EPI100 groups respectively. Conclusion: This study reveals that low-dose intrathecal epinephrine (75-100 mcg) in the absence of intrathecal opioids can be reliably used to prolong motor block duration in lower limb arthroplasty. Clinical Trial Registration: NCT02619409 (ClinicalTrials.gov).

What is this summary about? Here, we summarize the results of the addition of a medicine called epinephrine to a type of anesthesia called spinal anesthesia which involves injection of medication into the fluid surrounding the spinal cord. The study was to determine the optimal amount of epinephrine needed to prolong the effect of spinal anesthesia for patients undergoing replacements of their hips and/or knees. What were the results? The study showed that the addition of low-dose epinephrine to spinal anesthesia prolongs the motor block ­ or inability to move the leg ­ in a linear fashion with higher doses of epinephrine associated with longer motor block. Our results did not show a significant difference in sensory block, or the inability to feel the leg. What do the results mean? The study shows that the addition of low-dose epinephrine to spinal anesthesia can reliably prolong the effect of the anesthesia which may be needed in more complicated hip or knee surgeries.

Designing a phase-III time-to-event clinical trial using a modified sample size formula and Poisson-Gamma model for subject accrual that accounts for the lag in site initiation using the PERT distribution.

A priori estimation of sample size and subject accrual in multi-site, time-to-event clinical trials is often challenging. Such trials are powered based on the number of events needed to detect a clinically significant difference. Sample size based on number of events relates to the expected duration of observation time for each subject. Temporal patterns in site initiation and subject enrollment ultimately affect when subjects can be accrued into the study. Lag times are common as the site start-up process optimizes, resulting in delays that may curtail observational follow-up and therefore undermine power. The proposed method introduces a Program Evaluation and Review Technique (PERT) model into the sample size estimation which accounts for the lag in site start-up. Additionally, a PERT model is introduced into a Poisson-Gamma subject accrual model to predict the quantity of study sites needed. The introduction of the PERT model provides greater flexibility in both a priori power assessment and planning the number of sites, as it specifically allows for the inclusion of anticipated delays in site start-up time. This model results in minimal power loss even when PERT distribution inputs are misspecified compared to the traditional assumption of simultaneous start-up for all sites. Together these updated formulations for sample size and subject accrual models offer an improved method for designing a multi-site time-to-event clinical trial that accounts for a flexible site start-up process.

The impact of intraoperative N-acetylcysteine on opioid consumption following spine surgery: a randomized pilot trial.

Aim: N-acetylcysteine (NAC) decreases inflammation and could augment perioperative analgesia. Materials & methods: This prospective pilot trial examined postoperative opioid consumption at 12 h following intraoperative NAC. In phase I, 20 adults scheduled for posterior spine surgery were randomized to NAC (0, 50, 100 and 150 mg/kg) to determine the optimal dose. In phase II, 30 patients were randomized to placebo or NAC (150 mg/kg). Opioid consumption, pain ratings and time to opioid rescue were recorded. Results: Postoperative opioid consumption was reduced in the NAC group 19.3% at 12 h and 20% at 18 and 36 h. Opioid consumption was reduced 22-24% in the NAC group at all times after adjusting for intraoperative opioid administration. NAC subjects reported lower pain scores relative to placebo. Conclusion: Subjects randomized to NAC consumed less postoperative opioids and reported less pain versus placebo. Larger randomized controlled trials are needed to further evaluate NAC for analgesia. Clinical Trial Registration: NCT04562597 (ClinicalTrials.gov).

N-acetylcysteine (NAC) is a powerful anti-inflammatory drug used to treat some types of poisoning. It could help pain for patients after surgery. This study looked at how much pain medicine patients needed after back surgery when they received NAC or no drug (placebo). In the first 20 patients, people randomly received placebo or a small, medium or large dose of NAC (0, 50, 100, and 150 mg/kg) with five patients in each group. Since there were only a small number of patients, it was difficult to see any definite differences, and the next 30 patient patients randomly received placebo or the large dose of NAC (150 mg/kg). Patients that were given NAC received 16­22% less opioids in the first 2 days after surgery compared with those that were given placebo. NAC patients also took longer to request pain medications after surgery and reported lower pain scores in the first 2 days after surgery relative to placebo.

Normalizing arterial blood pressure in patients with aortic stenosis does not prevent grading discrepancies between pre-cardiopulmonary bypass transesophageal echocardiography and transthoracic echocardiography.

Background: Aortic stenosis (AS) grading discrepancies exist between pre-cardiopulmonary (pre-CPB) transesophageal echocardiography (TEE) and preoperative transthoracic echocardiography (TTE). Prior studies have not systematically controlled blood pressure. Aims: We hypothesized that normalizing arterial blood pressure during pre-CPB TEE for patients undergoing valve replacement for AS would result in equivalent grading measurements when compared to TTE. Setting: Single University Hospital. Design: Prospective, Interventional. Methods: Thirty-five adult patients underwent procedures for valvular AS between February 2017 and December 2020 at Medical University of South Carolina. Study participants had a TTE within 90 days of their procedure that documented blood pressure, peak velocity (Vp), mean gradient (PGm), aortic valve area (AVA), and dimensionless index (DI). During pre-CPB TEE, if a patient's mean arterial pressure (MAP) fell more than 20% below their baseline blood pressure obtained during TTE, measurements were recorded as "out of range." Phenylephrine was administered to restore MAP to the baseline range and repeat TEE measurements were recorded as "in-range." Statistical Analysis: Differences between imaging modalities and grading parameters were examined using a series of linear mixed models. P values were Bonferroni-adjusted to account for multiple comparisons. Main Results: Significant discrepancies between TEE and TTE were observed for Vp, PGm, and DI despite blood pressure normalization across all subjects and for out-of-range measures and corrected measures. There were no statistically significant differences between TEE and TTE for AVA. Conclusions: Blood pressure normalization during pre-CPB TEE is not sufficient to avoid AS grading discrepancies with preoperative TTE.

The Role of SOX9 in IGF-II-Mediated Pulmonary Fibrosis.

Pulmonary fibrosis (PF) associated with systemic sclerosis (SSc) results in significant morbidity and mortality. We previously reported that insulin-like growth factor-II (IGF-II) is overexpressed in lung tissues and fibroblasts from SSc patients, and IGF-II fosters fibrosis by upregulating collagen type I, fibronectin, and TGFß. We now show that IGF-II augments mRNA levels of profibrotic signaling molecules TGFß2 (p ≤ 0.01) and TGFß3 (p ≤ 0.05), collagen type III (p ≤ 0.01), and the collagen posttranslational modification enzymes P4HA2 (p ≤ 0.05), P3H2 (p ≤ 0.05), LOX (p = 0.065), LOXL2 (p ≤ 0.05), LOXL4 (p ≤ 0.05) in primary human lung fibroblasts. IGF-II increases protein levels of TGFß2 (p ≤ 0.01), as well as COL3A1, P4HA2, P4Hß, and LOXL4 (p ≤ 0.05). In contrast, IGF-II decreases mRNA levels of the collagen degradation enzymes cathepsin (CTS) K, CTSB, and CTSL and protein levels of CTSK (p ≤ 0.05). The SRY-box transcription factor 9 (SOX9) is overexpressed in SSc lung tissues at the mRNA (p ≤ 0.05) and protein (p ≤ 0.01) levels compared to healthy controls. IGF-II induces SOX9 in lung fibroblasts (p ≤ 0.05) via the IGF1R/IR hybrid receptor, and SOX9 regulates TGFß2 (p ≤ 0.05), TGFß3 (p ≤ 0.05), COL3A1 (p ≤ 0.01), and P4HA2 (p ≤ 0.001) downstream of IGF-II. Our results identify a novel IGF-II signaling axis and downstream targets that are regulated in a SOX9-dependent and -independent manner. Our findings provide novel insights on the role of IGF-II in promoting pulmonary fibrosis.

Who responds to a multi-component treatment for cannabis use disorder? Using multivariable and machine learning models to classify treatment responders and non-responders.

BACKGROUND AND AIMS: Treatments for cannabis use disorder (CUD) have limited efficacy and little is known about who responds to existing treatments. Accurately predicting who will respond to treatment can improve clinical decision-making by allowing clinicians to offer the most appropriate level and type of care. This study aimed to determine whether multivariable/machine learning models can be used to classify CUD treatment responders versus non-responders. METHODS: This secondary analysis used data from a National Drug Abuse Treatment Clinical Trials Network multi-site outpatient clinical trial in the United States. Adults with CUD (n = 302) received 12 weeks of contingency management, brief cessation counseling and were randomized to receive additionally either (1) N-Acetylcysteine or (2) placebo. Multivariable/machine learning models were used to classify treatment responders (i.e. two consecutive negative urine cannabinoid tests or a 50% reduction in days of use) versus non-responders using baseline demographic, medical, psychiatric and substance use information. RESULTS: Prediction performance for various machine learning and regression prediction models yielded area under the curves (AUCs) >0.70 for four models (0.72-0.77), with support vector machine models having the highest overall accuracy (73%; 95% CI = 68-78%) and AUC (0.77; 95% CI = 0.72, 0.83). Fourteen variables were retained in at least three of four top models, including demographic (ethnicity, education), medical (diastolic/systolic blood pressure, overall health, neurological diagnosis), psychiatric (depressive symptoms, generalized anxiety disorder, antisocial personality disorder) and substance use (tobacco smoker, baseline cannabinoid level, amphetamine use, age of experimentation with other substances, cannabis withdrawal intensity) characteristics. CONCLUSIONS: Multivariable/machine learning models can improve on chance prediction of treatment response to outpatient cannabis use disorder treatment, although further improvements in prediction performance are likely necessary for decisions about clinical care.

In-Silico Approaches for the Screening and Discovery of Broad-Spectrum Marine Natural Product Antiviral Agents Against Coronaviruses.

The urgent need for SARS-CoV-2 controls has led to a reassessment of approaches to identify and develop natural product inhibitors of zoonotic, highly virulent, and rapidly emerging viruses. There are yet no clinically approved broad-spectrum antivirals available for beta-coronaviruses. Discovery pipelines for pan-virus medications against a broad range of betacoronaviruses are therefore a priority. A variety of marine natural product (MNP) small molecules have shown inhibitory activity against viral species. Access to large data caches of small molecule structural information is vital to finding new pharmaceuticals. Increasingly, molecular docking simulations are being used to narrow the space of possibilities and generate drug leads. Combining in-silico methods, augmented by metaheuristic optimization and machine learning (ML) allows the generation of hits from within a virtual MNP library to narrow screens for novel targets against coronaviruses. In this review article, we explore current insights and techniques that can be leveraged to generate broad-spectrum antivirals against betacoronaviruses using in-silico optimization and ML. ML approaches are capable of simultaneously evaluating different features for predicting inhibitory activity. Many also provide a semi-quantitative measure of feature relevance and can guide in selecting a subset of features relevant for inhibition of SARS-CoV-2.

Association of Area Deprivation With Primary Hypertension Diagnosis Among Youth Medicaid Recipients in Delaware.

Importance: The association between degree of neighborhood deprivation and primary hypertension diagnosis in youth remains understudied. Objective: To assess the association between neighborhood measures of deprivation and primary hypertension diagnosis in youth. Design, Setting, and Participants: This cross-sectional study included 65 452 Delaware Medicaid-insured youths aged 8 to 18 years between January 1, 2014, and December 31, 2019. Residence was geocoded by national area deprivation index (ADI). Exposures: Higher area deprivation. Main Outcomes and Measures: The main outcome was primary hypertension diagnosis based on International Classification of Diseases, Ninth Revision and Tenth Revision codes. Data were analyzed between September 1, 2021, and December 31, 2022. Results: A total of 65 452 youths were included in the analysis, including 64 307 (98.3%) without a hypertension diagnosis (30 491 [47%] female and 33 813 [53%] male; mean [SD] age, 12.5 (3.1) years; 12 500 [19%] Hispanic, 25 473 [40%] non-Hispanic Black, 24 565 [38%] non-Hispanic White, and 1769 [3%] other race or ethnicity; 13 029 [20%] with obesity; and 31 548 [49%] with an ADI ≥50) and 1145 (1.7%) with a diagnosis of primary hypertension (mean [SD] age, 13.3 [2.8] years; 464 [41%] female and 681 [59%] male; 271 [24%] Hispanic, 460 [40%] non-Hispanic Black, 396 [35%] non-Hispanic White, and 18 [2%] of other race or ethnicity; 705 [62%] with obesity; and 614 [54%] with an ADI ≥50). The mean (SD) duration of full Medicaid benefit coverage was 61 (16) months for those with a diagnosis of primary hypertension and 46.0 (24.3) months for those without. By multivariable logistic regression, residence within communities with ADI greater than or equal to 50 was associated with 60% greater odds of a hypertension diagnosis (odds ratio [OR], 1.61; 95% CI 1.04-2.51). Older age (OR per year, 1.16; 95%, CI, 1.14-1.18), an obesity diagnosis (OR, 5.16; 95% CI, 4.54-5.85), and longer duration of full Medicaid benefit coverage (OR, 1.03; 95% CI, 1.03-1.04) were associated with greater odds of primary hypertension diagnosis, whereas female sex was associated with lower odds (OR, 0.68; 95%, 0.61-0.77). Model fit including a Medicaid-by-ADI interaction term was significant for the interaction and revealed slightly greater odds of hypertension diagnosis for youths with ADI less than 50 (OR, 1.03; 95% CI, 1.03-1.04) vs ADI ≥50 (OR, 1.02; 95% CI, 1.02-1.03). Race and ethnicity were not associated with primary hypertension diagnosis. Conclusions and Relevance: In this cross-sectional study, higher childhood neighborhood ADI, obesity, age, sex, and duration of Medicaid benefit coverage were associated with a primary hypertension diagnosis in youth. Screening algorithms and national guidelines may consider the importance of ADI when assessing for the presence and prevalence of primary hypertension in youth.

CHRNA5-A3-B4 and DRD2 Genes and Smoking Cessation Throughout Adulthood: A Longitudinal Study of Women.

INTRODUCTION: Smoking cessation is more than 50% heritable. Genetic studies of smoking cessation have been limited by short-term follow-up or cross-sectional design. AIMS AND METHODS: This study tests single nucleotide polymorphism (SNP) associations with cessation during long-term follow-up throughout adulthood in women. The secondary aim tests whether genetic associations differ by smoking intensity. Associations between 10 SNPs in CHRNA5, CHRNA3, CHRNB2, CHRNB4, DRD2, and COMT and the probability of smoking cessation over time were evaluated in two longitudinal cohort studies of female nurses, the Nurses' Health Study (NHS) (n = 10 017) and NHS-2 (n = 2793). Participant follow-up ranged from 2 to 38 years with data collected every 2 years. RESULTS: Women with the minor allele of either CHRNA5 SNP rs16969968 or CHRNA3 SNP rs1051730 had lower odds of cessation throughout adulthood [OR = 0.93, p-value = .003]. Women had increased odds of cessation if they had the minor allele of CHRNA3 SNP rs578776 [OR = 1.17, p-value = .002]. The minor allele of DRD2 SNP rs1800497 was associated with lower odds of cessation in moderate-to-heavy smokers [OR = 0.92, p-value = .0183] but increased odds in light smokers [OR = 1.24, p-value = .096]. CONCLUSIONS: Some SNP associations with short-term smoking abstinence observed in prior studies were shown in the present study to persist throughout adulthood over decades of follow-up. Other SNP associations with short-term abstinence did not persist long-term. The secondary aim findings suggest genetic associations may differ by smoking intensity. IMPLICATIONS: The results of the present study expand on previous studies of SNP associations in relation to short-term smoking cessation to demonstrate some of these SNPs were associated with smoking cessation throughout decades of follow-up, whereas other SNP associations with short-term abstinence did not persist long-term. The rate of relapse to smoking remains high for several years after quitting smoking, and many smokers experience multiple quit attempts and relapse episodes throughout adulthood. Understanding genetic associations with long-term cessation has potential importance for precision medicine approaches to long-term cessation management.

Stellate ganglion block catheters for refractory electrical storm: a retrospective cohort and care pathway.

BACKGROUND: Electrical storm can be challenging to treat, requiring a multidisciplinary team to coordinate medical management and invasive procedures. As the stellate ganglion provides efferent sympathetic outflow to the myocardium, stellate ganglion blocks (SGB) can be used to combat ventricular arrhythmias that arise from sympathetic overactivity. Data are scarce regarding SGB catheters as a treatment for electrical storm. We reviewed our use of SGB catheters for refractory electrical storm using our pathway collaboratively developed by critical care, cardiology, and regional anesthesia teams. METHODS: We conducted a retrospective cohort study of patients who underwent an SGB for electrical storm between January 2020 and April 2022 in our cardiovascular intensive care unit. The primary outcome was the sustained cessation of electrical storm for 24 hours. RESULTS: Upon chart review, 27 patients were identified and 11 met inclusion criteria. Cessation of electrical storm for 24 hours was achieved in 90% (n=10) of patients after left SGB. Similarly, 90% (n=10) had no documented episodes of ventricular arrhythmias requiring intervention within 6 hours after SGB. CONCLUSIONS: SGBs can interrupt or treat electrical storm. SGB catheters allow for prolonged arrhythmia cessation without repeated blocks and decrease the risk of repeat episodes of ventricular arrhythmias.

Relationship Between Palliative Care Consults and Outcomes of Pediatric Surgical Patients During Terminal Admissions.

Background: Pediatric patients often undergo surgery during terminal admissions. However, the involvement and timing of palliative care consults in caring for these patients has not been readily described. Objective: To describe the presence and timing of palliative care consults for pediatric patients who undergo surgical procedures during terminal admissions. Design: Retrospective cohort study using data from the electronic health record. Setting and Participants: Pediatric patients who underwent at least one surgical procedure during a terminal admission at an urban, quaternary hospital in the United States from January 1, 2016 to December 31, 2021. Main Outcomes and Measures: Patients' medical, surgical, and admission-level characteristics were abstracted. Associations were evaluated between these characteristics and the occurrence and timing of a palliative care consult relative to surgery and death. Results: Of 134 patients, 84% received a palliative care consult during their terminal admission. Approximately 36% of consults occurred before surgery, and 12% were within one day of death. Children without a palliative care consult were more likely than children with a consult to die during surgery (19.1% vs. 2.7%, p = 0.02), have surgery within 24 hours of death (52.4% vs. 15.9%, p < 0.001), and undergo a full resuscitation attempt (47.6% vs. 12.4%, p = 0.002). Receipt of a palliative care consultation did not differ by patient sex, reported race and ethnicity, language, insurance, or income level. Conclusions and Relevance: Palliative care consults support high-quality end-of-life care for children and impact perioperative outcomes, including intensity of surgical care and resuscitation in the final hours of life.

Effectiveness of the Spot Vision Screener using updated 2021 AAPOS guidelines.

PURPOSE: To evaluate the Spot Vision Screener according to updated 2021 AAPOS Vision Screening Committee guidelines for instrument-based pediatric vision screen validation. METHODS: As part of an IRB-approved ongoing prospective study, children were screened with the Spot prior to a complete examination. RESULTS: Spot screening was successful in 1,036 of 1,090 children (95%). Forty-eight percent of participants were referred for further screening using the Spot manufacturer guidelines, and 40% of all children were found to have a 2021 amblyopia risk factor or visually significant refractive error by gold standard examination. The Spot recommendation compared reasonably well to the 2021 criteria, with an overall sensitivity of 0.88 and a specificity of 0.78. Applying updated guidelines to the Spot for hyperopia, anisometropia, and astigmatism yielded moderate-to-poor sensitivity (0.27-0.77) but excellent specificity (>0.9). The area under the curve of the receiver operating characteristic analysis demonstrates overall good prediction performance for the Spot for each diagnosis-myopia, hyperopia, astigmatism, anisometropia (range, 0.87-0.97). Results of our study suggest increasing the instrument referral criterion for astigmatism from 1.5 D (manufacturer thresholds of the screener used in this study) to 2 D in older children. Decreasing the anisometropia cut-off from 1 D to 0.75 D would improve sensitivity from 0.59 to >0.8. CONCLUSIONS: In our study population, the overall predictive ability of the Spot is good, with a sensitivity of 0.88 and a specificity of 0.78. We recommend specific device refractive referral criteria to maximize screening effectiveness using the updated AAPOS guidelines.

Association of metabolic syndrome and its components with the risk of depressive symptoms: A systematic review and meta-analysis of cohort studies.

BACKGROUND: The purpose of this meta-analysis was to quantitatively analyze the association between metabolic syndrome (MetS) and the risk of depressive symptoms. METHODS: Three electronic databases (PubMed, Embase, and PsycINFO) were searched for articles published through February 15, 2022. Cohort studies evaluating the association between MetS and depressive symptoms were selected for inclusion in this study. A random-effects model was used to evaluate the pooled estimates of MetS, including each of its components, associated with depressive symptoms. RESULTS: A total of 11 cohort studies were selected including >2.65 million participants. There was a significant association between MetS and depressive symptoms risk, albeit with a high degree of heterogeneity (relative risk = 1.29, 95 % confidence interval: 1.12-1.48; I2 = 79.3 %). This association was consistently significant in Western countries, but it was not significant in Asian countries. When stratified by sex, age, and geographical region, MetS and its components exhibited varying degrees of association with depressive symptoms. CONCLUSIONS: MetS is a risk factor for depressive symptoms. Further large-scale prospective cohort studies are required to confirm our findings.

A systematic review of genetic variation within nicotinic acetylcholine receptor genes and cigarette smoking cessation.

BACKGROUND: Nicotine produces its effects by binding to nicotinic acetylcholine receptors (nAChRs). Variants of genes encoding properties of nAChRs are candidates for affecting likelihood of smoking cessation. METHODS: A systematic review was conducted summarizing evidence of associations between single nucleotide polymorphisms (SNPs) of nAChR genes and smoking cessation. From 24 articles meeting inclusion criteria, summary odds ratios (ORs) for associations between nine SNPs and smoking cessation were calculated from 26 studies (N = 233-29,072) stratified by gene, ancestry, study design, and pharmacotherapy; SNPs in linkage disequilibrium were pooled. Results for a tenth SNP from two GWAS were summarized. RESULTS: People of European ancestry with minor alleles of CHRNA5 rs16969968 and CHRNA3 rs1051730 had longer time to cessation [HR = 0.90, 95 % CI 0.88 - 0.92 (n = 2 studies)] and lower odds of cessation [OR = 0.88, 95 % CI 0.80 - 0.97 (n = 5 cohort studies), OR = 0.64, 95 % CI 0.45 - 0.90 (n = 4 placebo arms)]. Risk of persistent smoking associated with these alleles was attenuated in smokers receiving nicotine replacement therapy (NRT). Recipients of bupropion alone or with NRT with these alleles had higher, though not statistically significant, odds of cessation. Results for CHRNA5 rs588765 and rs680244 were similar to rs16969968/rs1051730 findings. Evidence was limited for other SNPs. CONCLUSION: Evidence consistently indicates the minor alleles of four SNPs within CHRNA3 or CHRNA5 are risk alleles for cessation failure. Analysis by pharmacotherapy revealed bupropion may be the most efficacious intervention for people with these alleles.