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Importance Currently, there are no standardized outcome domains or measures in clinical trials for facial aging. Heterogeneity in outcome domains and measurement instruments across clinical trials creates difficulty in directly comparing interventions, determining superior therapies, and developing high-quality meta-analyses. Objective To develop a core outcome set (COS) of essential domains to be reported in clinical trials evaluating the efficacy of interventions for facial aging. Evidence Review PubMed/Medline, Embase, Cochrane Central Register of Controlled Trials, and CINAHL were searched from September 2005 to September 2015. An updated search of the same databases was performed from September 2015 to February 2026. Studies were included if (1) they were randomized clinical trial or controlled clinical trial in design, (2) they assessed the efficacy or safety of an intervention for facial aging, (3) they were published in English, and (4) they involved human participants. Complementary sources, including patient interviews, were used to capture further relevant outcomes. Two rounds of Delphi surveys, followed by consensus meetings, were used to identify outcome domains considered most important by both patient and physician stakeholders. Findings The final COS consists of 6 outcome domains: (1) overall convenience of treatment; (2) time to return to normal work and social activity; (3) overall assessment of focused area of treatment (at the point in time when treatment is expected to provide peak benefit); (4) duration of treatment effect; (5) severity of persistent local or systemic adverse events, including pigmentary change, skin texture change, delayed healing, scarring, and serious adverse events; and (6) patient satisfaction with treatment. Conclusions and Relevance The 6 outcome domains identified through a Delphi consensus are recommended for reporting in future facial aging trials to ensure that outcomes that matter most to patients and clinicians are measured and that results are comparable across interventions.

Abstract Background Anxiety disorders (ANX) affect 30–60% of individuals with bipolar disorder (BD), yet limited research has systematically examined clinical characteristics and treatment patterns in this comorbid population. This study investigated demographic, clinical, and pharmacotherapeutic differences between individuals with BD with and without comorbid ANX. Methods Cross-sectional data from 2,225 adults with BD enrolled in the Mayo Clinic Bipolar Disorder Biobank were analyzed. Participants were assessed for comorbid ANX, demographics, clinical characteristics, medication use, and treatment response using the Alda-A scale. Results Overall, 61% (n = 1,366) had comorbid ANX. Individuals with BD + ANX were younger (40.4 vs. 43.6 years, p < 0.001), more likely female (66.6% vs. 54.8%, p < 0.001), and exhibited higher rates of rapid cycling (64.2% vs. 45.2%, p < 0.001), suicide attempts (40.4% vs. 24.8%, p < 0.001), substance use disorders (63.5% vs. 54.8%, p < 0.001), and somatic comorbidities (MCIRS: 6.68 vs. 5.42, p < 0.001). Pharmacotherapeutically, BD + ANX individuals were less likely to receive lithium (37.1% vs. 47.8%, p = 0.005) and valproic acid (21.7% vs. 29.6%, p = 0.047), but more likely to receive antidepressants (53.8% vs. 39.5%, p < 0.001), benzodiazepines (39.9% vs. 26.6%, p < 0.001), and gabapentinoids (8.5% vs. 4.5%, p < 0.001). Notably, 17.3% of BD + ANX individuals received antidepressants without mood stabilizer coverage. Treatment response (Alda-A) scores were significantly lower in BD + ANX for lithium (4.91 vs. 6.05, p < 0.001), mood-stabilizing anticonvulsants (5.09 vs. 6.22, p < 0.001), and second-generation antipsychotics (4.67 vs. 5.73, p < 0.001). Similar patterns were observed in both BD-I and BD-II subtypes. Conclusions Individuals with BD + ANX represent a more severely affected subgroup with distinct prescribing patterns favoring antidepressants over mood stabilizers and attenuated mood stabilizers response. These findings highlight the need for anxiety-informed treatment algorithms recognizing anxiety comorbidity as a negative prognostic factor.

IntroductionAlcohol withdrawal syndrome (AWS) is among the most severe components of alcohol dependence (AD). Severe AWS, especially complicated with seizures and delirium, was a common reason for medical complications and death. The introduction of benzodiazepines decreased but did not eliminate those risks. The definition of AWS evolved in different versions of Diagnostic and Statistical Manual for Mental Disorders (DSM) from having hand tremor plus one or more other symptoms in DSM-III-R to any two or more symptoms in DSM-IV, which was retained in the current version of DSM-5.ObjectivesComparing subgroups of individuals with AUD based on AWS symptoms profile to define phenotypes for investigation of biological underpinnings of AWS phenomenology and treatment response.MethodsTreatment-seeking individuals diagnosed with DSM-IV alcohol dependence (AD; n=473; 35.5% females) were assessed with Psychiatric Research Interview for Substance and Mental Disorders (PRISM), Timeline Follow back (past 90 days) alcohol consumption, Penn Alcohol Craving Scale (PACS), Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire-9 (PHQ9), and General Anxiety Disorder-7 (GAD-7). Latent class analysis was used to classify subjects according to lifetime prevalence of AWS symptoms according to DSM-III-R or DSM-IV/5. Demographic and other clinical variables were compared among clusters by linear model ANOVA and chi-squared test.ResultsFour clusters were identified: subjects with (1) no history of meeting any AWS criteria (n=50); (4) with complete number of AWS symptoms, meeting both DSM definitions (n=259); and two clusters of subjects with smaller number of AWS symptoms: (3) those meeting only DSM-IV/5 criteria (n=94) and (2) those also meeting DSM-III-R criteria (n=70). Compared to cluster 2, the Cluster 3 members had higher frequency of anxiety, insomnia, and restlessness during withdrawal. The clusters also differed in the total number of drinks (p=0.021), average drinks per drinking days (p=0.013), history of anxiety disorder (p=0.006), substance-induced depression (p=0.019), and higher scores of PSQI (p<0.001), PHQ9 (p<0.001), and GAD-7 (p<0.001) with a relative increase in frequency between clusters as follows 1<2<3<4. Group 4 also had the highest percentages of subjects with history of seizure, delirium or hallucinations.ConclusionsDifferent definitions of AWS capture clusters of AD patients with different symptomatology, comorbidity and consumption patterns. Understanding of biological underpinnings behind those differences may guide improvement in personalized treatment selection.Disclosure of InterestNone Declared

Abstract Background: Responsiveness to mood-stabilizing pharmacotherapy varies in bipolar disorder (BD). We investigated clinical correlates of second-generation antipsychotic (SGA) treatment response and conducted the first genome-wide association study (GWAS), including exploratory polygenic scores (PGS), of SGA pharmacogenomic treatment response in BD. Methods: Treatment response was quantified using the Alda scale, and GWAS was performed using Alda-A score, controlling for sex, genotyping batch, and the genomic principal components. Results: The cohort included 2,159 adults with BD (1,416 BD-I, 691 BD-II, 51 schizoaffective BD), mean age 41.8 years, 62% female, 84% white, and 14% Hispanic. Nearly half (48%) were treated with SGAs. Current SGA users were younger (41.2±14.7 vs. 42.5±15.3 years, p =0.040), more likely to be Hispanic (14% vs. 11%, p =0.047), had a higher body mass index (BMI; 30.4±7.6 vs. 29.5±7.1 kg/m 2 , p =0.005). Lifetime comorbidity patterns for current SGA users include higher rates of manic psychosis (29% vs. 17%, p <0.001) and eating disorders — Anorexia Nervosa (7% vs. 4%, p =0.003), Bulimia Nervosa (7% vs. 4%, p =0.003), and Binge Eating Disorder (14% vs. 11%, p =0.030). We detected a genome-wide significant association between SGA Alda-A scores and GAS7 variants (top variant: rs202127418, β =-2.998, p =4.96E-08). However, SGA response was not significantly associated with PGS for schizophrenia, BD, and major depression (FDR>0.05). Conclusions: SGAs are frequently utilized as mood stabilizers in patients with BD and are associated with manic psychosis and eating disorders. GAS7 variants may predict SGA response, but larger, more diverse cohorts are needed for validation.

Abstract Background Primary aldosteronism (PA) is a common treatable cause of hypertension. When caused by unilateral adrenal disease, it is potentially curable by adrenalectomy. However, specialized tests and other factors may delay definitive treatment. We assessed the time to adrenalectomy (TTA) for patients worldwide. Methods We conducted an international, multicentre retrospective study involving 39 centres from 15 countries to determine the total time taken from the first presentation to adrenalectomy and the intervals between each stage (screening, confirmatory, subtyping, and adrenalectomy). We included patients with PA who underwent adrenalectomy from January 1, 2018, to October 30, 2022. Post-adrenalectomy outcomes were evaluated using the Primary Aldosteronism Surgery Outcome criteria. We performed multivariable quantile and linear regression to identify characteristics associated with longer TTA. Results We included 861 patients, mean age 49.3 ± 11.1 years, and 44.5% were women. Overall median TTA was 13.5 months, IQR: 6.6-24.5. Median intervals were 0.1 months (screening), 1.0 months (confirmatory), 4.1 months (subtyping), and 4.3 months (adrenalectomy). On multivariable analysis, median TTA was increased by 5.4 months for each additional adrenal vein sampling (AVS) procedure. Other factors associated with longer TTA included adrenalectomy post-COVID-19, younger age, and additional screening tests. Compared with countries with routine AVS, those without AVS had a shorter TTA (6.1 vs 15.1 months, P &lt; .001), but greater likelihood of absent/partial biochemical success post-adrenalectomy (27.4% vs 12.4%, P &lt; .001). Conclusion Primary aldosteronism management is time-consuming worldwide, especially for subtyping tests and adrenalectomy. While omitting AVS reduces overall time, patients are less likely to achieve biochemical cure post-adrenalectomy.

AbstractBackground and AimsSex‐related hormones and proteins may underlie sex differences in alcohol use disorder characteristics and consequences. Previous reports suggest steroid sex hormones may influence alcohol consumption behaviors while proteins that regulate their circulation levels are rarely investigated. Following up on our earlier study of individual sex‐related hormones' associations with alcohol dependence (AD), this study measured the associations between the combinations of sex‐related hormones and proteins and AD in a larger sample.DesignSex‐stratified case‐control comparison and clustering of plasma sex‐related hormone and protein levels, plus a genome‐wide association study on the AD‐associated hormone and protein combinations.SettingAddiction treatment programs in the United States.ParticipantsFour hundred treatment‐seeking recently abstained AD patients (median = 24.5 days) and 388 age‐and‐sex‐matched controls from a community biobank (male:female ≈ 2:1).MeasurementsPlasma levels of total testosterone, estrone (E1), estradiol (E2), follicle‐stimulating hormone (FSH), luteinizing hormone (LH), sex hormone binding globulin (SHBG) and albumin.FindingsIn males, we found higher E2 [β = 0.13, Punadjusted < 0.001, false discovery rate (FDR) = 0.005], progesterone (β = 0.01, Punadjusted = 0.025, FDR = 0.054), LH (β = 0.12, Punadjusted = 0.017, FDR = 0.044) and albumin (β = 0.09, Punadjusted < 0.001, FDR = 0.005) in AD patients than controls; in females, we observed lower E1 (β = −0.24, Punadjusted = 0.024, FDR = 0.113) and progesterone (β = −1.86, Punadjusted = 0.026, FDR = 0.113) and higher albumin (β = 0.18, Punadjusted < 0.001, FDR = 0.001) in AD patients than controls. Three principal components (PCs), reflecting hormone signatures, were statistically significantly associated with AD in each sex: PC1 (TT, E2 and SHBG; β = −0.15, P = 0.016), PC3 (E1, progesterone and albumin; β = 0.28, P = 0.007) and PC4 (SHBG and albumin; β = 0.34, P = 0.001) in males; PC3 (progesterone and albumin; β = −0.38, P = 0.009), PC4 (TT and albumin; β = −0.49, P = 0.001) and PC5 (TT and progesterone; β = 0.54, P = 0.004) in females. Statistically significant SNP × group associations were found in females between PC4 and polymorphisms in RP51004I9.1 (top SNP: rs6082693; P = 5.41E‐12) and in males between PC3 and a genomic locus that contained SLC35E4, DUSP18 and OSBP2 (top SNP: rs13053277; P = 1.77E‐07).ConclusionsThree sex‐related hormone and protein signatures appear to be associated with alcohol dependence in each sex. Peripheral levels of sex‐related hormones and proteins, as well as their combinations, could be altered in people with alcohol dependence who have abstained for a few weeks compared with controls, and such differences may be sex‐specific.

Abstract Objective Sex-specific differences impact vulnerability to alcohol effects, dependence (AD) and related phenotypes. Previous studies demonstrated that sex-related hormone and protein levels may contribute to those differences in sex-specific manner. However, previous studies were limited by sample size, the depths of phenotyping assessments and/or the number of hormones and proteins measured at the same time. Here, we investigated the association of the sex-related hormone (testosterone, estrogens, and progesterone) and protein (FSH, LH, SHBG, and albumin) levels with AD in males and females treated in community-based programs compared to age and sex-matched controls. We also investigated the associations of AD with the combined plasma sex-related hormone/protein “signatures” in the same groups of study subjects. Methods Sex-related hormone and protein levels were measured in plasma samples collected from 401 male and female subjects meeting DSM-IV-TR criteria for AD and 401 age and sex matched controls. Psychiatric Research Interview for Substance and Mental Disorder (PRISM) was used to capture DSM-IV diagnoses of substance use and other psychiatric disorders. All analyses were stratified by sex. Associations between each plasma sex-related hormone/protein level and AD was assessed with multivariable linear regression adjusted for age and BMI for males and age, BMI, and menopause status for females. Progesterone was defined as a continuous variable and a binary variable based on a lower laboratory detection limit of 0.1 ng/mL. We used principal component analysis to define hormone/protein signatures. Hormones and proteins with factor loadings =/&gt; |0.4| were considered important drivers for the corresponding principal components (PCs). Resulting PCs were entered into a sex-stratified logistic regression model with adjustment of age and BMI to determine which PCs were associated with AD. Results Male AD subjects had higher estradiol and albumin levels (p &lt;0.00625) as well as progesterone and LH levels (p &lt;0.05) compared to controls. Progesterone was detected in a larger proportion of AD subjects than in the controls (62.6% vs. 47.7%; p = 0.017). In females, albumin levels were significantly higher (p &lt;0.00385) while estrone and progesterone levels were lower (p &lt;0.05) in AD subjects than the controls. Total testosterone (TT) levels were relatively higher in AD subjects but differences between groups were not significant (p &gt;0.05). In males, the first PC (PC1) that accounted for the majority of data variance was significantly associated with AD (p=0.016) and was mostly driven by TT, estrone, estradiol and SHBG. PC3 (driven by albumin, progesterone and estradiol) and PC4 (driven by albumin and SHBG) were also associated with AD (p=0.007 and p&lt;0.001, respectively). In females, PC1 (driven by estrone, estradiol, SHBG) was not significantly associated with AD. However, PC3 (driven by Albumin and progesterone), PC4 (driven by TT and Albumin) and PC5 (driven by progesterone and TT), were significantly associated with AD (p=0.009, p=0.001, p=0.004, respectively). Conclusion Our findings indicate that individual hormone/protein levels as well as hormone/protein combination signatures associated with AD are different in male and female alcoholics. Future studies should investigate physiological mechanisms reflected in hormone/protein signatures captured by PC analyses.

131 Background: KRAS G12C mutations occur in 3%–4% of CRC cases and are associated with poor prognosis. In the phase 1/2 KRYSTAL-1 study (NCT03785249), at a median follow-up of 11.9 months (mo), Ada (irreversible inhibitor of KRAS G12C ) in combination with Cetux (anti-EGFR antibody) demonstrated promising clinical activity (objective response rate [ORR] of 34% per blinded independent central review [BICR] and 43% per investigator [INV]) and was well tolerated in patients (pts) with previously treated KRAS G12C -mutated mCRC. Based on these findings, Ada + Cetux was granted accelerated approval in the United States for these pts. Here, we present longer-term follow-up analyses from this study. Methods: Adults with previously treated KRAS G12C -mutated mCRC and ECOG performance status of 0 or 1 were treated with Ada (600 mg BID) in combination with Cetux (400 mg/m 2 followed by 250 mg/m 2 QW or 500 mg/m 2 Q2W) until disease progression, unacceptable toxicity, withdrawal of consent, or death, in separate phase 1 and phase 2 cohorts. Primary endpoints were safety (phase 1) and ORR per BICR (phase 2). Secondary endpoints were duration of response (DOR), progression-free survival (PFS), overall survival (OS), and safety (phase 2). Results: A total of 94 pts received Ada + Cetux. The median number of prior lines of systemic therapy was 3 (range, 1–9); 23 pts (24%) had received ≥ 4 prior lines of systemic therapy. The most frequent sites of metastases at baseline were the lung (71%) and liver (64%). At a median follow-up of 20.4 mo, ORR per INV was 43% (95% CI 32–53) and all were partial responses; median DOR was 5.9 (95% CI 5.5–7.6) mo. Disease control rate per INV was 86% (95% CI 78–92). Median PFS per INV was 6.9 (95% CI 5.9–7.4) mo; 6- and 12-mo PFS rates were 61% and 19%, respectively. Median OS was 16.0 (95% CI 13.3–18.8) mo; 6- and 12-mo OS rates were 88% and 66%, respectively. Any-grade treatment-related adverse events (TRAEs) were reported in 100% of pts, 28% of which were grade 3/4. TRAEs led to discontinuation in 10% of pts. Efficacy analyses by BICR, subgroup analyses, and additional safety results will be presented. Conclusions: In heavily pretreated pts with KRAS G12C -mutated mCRC, Ada + Cetux continued to demonstrate clinically meaningful activity and tolerable safety with longer follow-up. These updated results are consistent with those from the primary analysis and constitute the longest duration of follow-up for dual KRAS G12C /EGFR blockade in this setting. Efficacy of second-line Ada + Cetux vs chemotherapy in KRAS G12C -mutated mCRC is being investigated in the phase 3 KRYSTAL-10 study (NCT04793958). Clinical trial information: NCT03785249 .

Importance The emergency department (ED) offers an opportunity to initiate palliative care for older adults with serious, life-limiting illness. Objective To assess the effect of a multicomponent intervention to initiate palliative care in the ED on hospital admission, subsequent health care use, and survival in older adults with serious, life-limiting illness. Design, Setting, and Participants Cluster randomized, stepped-wedge, clinical trial including patients aged 66 years or older who visited 1 of 29 EDs across the US between May 1, 2018, and December 31, 2022, had 12 months of prior Medicare enrollment, and a Gagne comorbidity score greater than 6, representing a risk of short-term mortality greater than 30%. Nursing home patients were excluded. Intervention A multicomponent intervention (the Primary Palliative Care for Emergency Medicine intervention) included (1) evidence-based multidisciplinary education; (2) simulation-based workshops on serious illness communication; (3) clinical decision support; and (4) audit and feedback for ED clinical staff. Main Outcome and Measures The primary outcome was hospital admission. The secondary outcomes included subsequent health care use and survival at 6 months. Results There were 98 922 initial ED visits during the study period (median age, 77 years [IQR, 71-84 years]; 50% were female; 13% were Black and 78% were White; and the median Gagne comorbidity score was 8 [IQR, 7-10]). The rate of hospital admission was 64.4% during the preintervention period vs 61.3% during the postintervention period (absolute difference, −3.1% [95% CI, −3.7% to −2.5%]; adjusted odds ratio [OR], 1.03 [95% CI, 0.93 to 1.14]). There was no difference in the secondary outcomes before vs after the intervention. The rate of admission to an intensive care unit was 7.8% during the preintervention period vs 6.7% during the postintervention period (adjusted OR, 0.98 [95% CI, 0.83 to 1.15]). The rate of at least 1 revisit to the ED was 34.2% during the preintervention period vs 32.2% during the postintervention period (adjusted OR, 1.00 [95% CI, 0.91 to 1.09]). The rate of hospice use was 17.7% during the preintervention period vs 17.2% during the postintervention period (adjusted OR, 1.04 [95% CI, 0.93 to 1.16]). The rate of home health use was 42.0% during the preintervention period vs 38.1% during the postintervention period (adjusted OR, 1.01 [95% CI, 0.92 to 1.10]). The rate of at least 1 hospital readmission was 41.0% during the preintervention period vs 36.6% during the postintervention period (adjusted OR, 1.01 [95% CI, 0.92 to 1.10]). The rate of death was 28.1% during the preintervention period vs 28.7% during the postintervention period (adjusted OR, 1.07 [95% CI, 0.98 to 1.18]). Conclusions and Relevance This multicomponent intervention to initiate palliative care in the ED did not have an effect on hospital admission, subsequent health care use, or short-term mortality in older adults with serious, life-limiting illness. Trial Registration ClinicalTrials.gov Identifier: NCT03424109