The impact of age and socioeconomic factors on response to exercise training in patients with ischemic heart disease, heart failure and after valve replacement

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H.K Rasmusen ◽  
N Mikkelsen
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Heart Disease ◽  
Exercise Training ◽  
Oxygen Uptake ◽  
Peak Oxygen Uptake ◽  
Funding Source ◽  
Baseline Characteristics ◽  
Response To Exercise ◽  
The Impact

Abstract   The impact of baseline characteristics on response to exercise training in patients with ischemic heart disease. Background Exercise training improves peak oxygen uptake, an important predictor of mortality in patients with coronary artery disease (CAD). Unfortunately, some patients do not response with an increase in peak oxygen uptake after exercise training. If it is possible to identify these patients it would be possible to tailor their exercise training. Purpose To investigate if baseline characteristics can predict response to exercise training in patients with heart disease. Methods A retrospective analysis of 1443 CAD patients (age 64±11 y (mean (±SD)), 74% male, participated and completed an eight-week supervised outpatient exercise intervention with two weekly training sessions of 1.5 hours with high intensity interval- (>80% of VO2peak) and resistance training. Patient characteristics were entered in the local database as the patients entered cardiac rehabilitation (CR). VO2peak was assessed before and after CR using a cardiopulmonary exercise test (CPET) with a maximal symptom limited bicycle ergometer test. Breathing gases were collected and analysed breath-by-breath. Each test aimed at physical exhaustion and a respiratory exchange ratio of more than 1.1 to ensure the validity of the CPET test. Patients were divided into responders defined as an improvement in aerobic capacity (change in VO2peak) after CR and non-responders if no improvement (change in VO2peak of 0.0ml/kg/min or less) post CR. We performed a multivariable logistic regression analysis using responders vs. non-responders as the endpoint. Explanatory variables were identified according to previous literature and comprised the following variables; age, sex, baseline VO2peak, tobacco use, diabetes, COPD, revascularization, working status, educational attainment, ethnicity and hypercholesteremia. Results 1097 patients were responders and 346 (24%) non-responders to the exercise training despite no difference in attendance. Logistic regression analysis of responders vs. non-responders in relation to baseline characteristics are shown in the table. Conclusion In summarize, 24% of these heart patients were exercise non-responders. High baseline VO2peak, older age, having COPD, being on disability pension, low educational attainment and non-western ethnicity were predictors of training non-response. Identification of patients with a large likelihood of non-response is a beginning towards patient tailored exercise programmes. Baseline characteristics in responders. CABG: coronary artery bypass graft; COPD: chronic obstructive pulmonary disease; PCI: percutaneous coronary intervention; SD: standard deviation; VO2peak: change in peak oxygen uptake. P-values of <0.05 are considered significant and shown in bold. 95% confidence intervals are shown in last column. Funding Acknowledgement Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): Helsefonden

scholarly journals The Effects of Number of Fire Dispatches and Other Situational Factors on Voluntary Exercise Training Among Korean Firefighters: A Multilevel Logistic Regression Analysis

2020 ◽  
Vol 17 (16) ◽  
pp. 5913
Author(s):  
Junhye Kwon ◽  
Seiyeong Park ◽  
Chung Gun Lee ◽  
Wook Song ◽  
Dong-il Seo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Exercise Training ◽  
Logistic Regression Analysis ◽  
Situational Factors ◽  
Multilevel Logistic Regression ◽  
South Korean ◽  
Shift Type ◽  
Multilevel Logistic Regression Analysis ◽  
The Impact

According to previous research, participation in exercise training (ET) by South Korean firefighters varies with shift type, and the effect of shift type is greater in large cities than in small towns. However, shift types differ among regions, depending on the number of dispatches. Therefore, the present study examined the impact of the number of fire dispatches and other situational factors on ET. A series of multilevel logistic regression analysis was applied to analyze the data collected from South Korean firefighters (N = 5219) in 2017. According to the firefighters, participation in ET is higher among those who have someone to instruct their ET (Coefficient (Coef) = 0.057, SE = 0.017, p < 0.001) and who can do ET while on duty (Coef = 0.048, SE = 0.014, p < 0.001). The number of fire dispatches had a significant effect on participation in ET (Coef = −0.000, SE = 0.000, p < 0.01), meaning that the firefighters’ participation in ET varies with the number of fire dispatches in each region. Our main findings indicate that the number of fire dispatches is a key factor affecting ET participation among firefighters, and the other situational factors also play a role. Therefore, ET programs that firefighters can participate in between calls should be established.

Abstract 1534: Diabetes Mellitus Is An Independent Predictor Of Mortality In Defibrillator Recipients

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Carol Chen-Scarabelli ◽  
Tiziano M Scarabelli
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Mortality Risk ◽  
Independent Predictor ◽  
Mortality Data ◽  
Significant Difference ◽  
Baseline Characteristics ◽  
The Impact

Background: Previous studies have shown an increased morbidity and mortality risk in patients with diabetes mellitus (DM) undergoing percutaneous coronary interventions and cardiac surgery. However, the impact of DM on mortality in patients with implantable cardioverter defibrillators (ICDs) is unknown. Aim: to investigate whether DM was associated with increased mortality risk in patients with ICDs Methods: A retrospective review of all ICD patients followed within a consecutive 2.5 year period was performed. Baseline characteristics and mortality data were compared between DM and non-DM patients. Mann Whitney test was used to analyze the differences between the means, and multivariate logistic regression analysis was performed to identify independent predictors of mortality. Results: A total of 336 patients with ICDs (including 141 patients with DM and 195 without DM) were studied. The mean age was 66.8 ± 9.6 years in the overall population, with no significant difference in baseline characteristics between the 2 groups, except for beta-blocker therapy, creatinine, and estimated glomerular infiltration rate (EGFR). Use of beta-blockers was greater in the non-DM group (92.8% vs 84.4%, p=0.02). Renal function was worse in the DM group, as documented by a higher serum creatinine (1.6 ± 0.8 mg/dl in DM vs 1.38 ± 0.74 mg/dl in non-DM, p = 0.003) and a lower EGFR (55.9 ± 22.9 ml/min/1.73m 2 vs 63.5 ± 19.9 ml/min/1.73m 2 , p=0.0005). Although the incidence of VT was not significantly different between the two groups, there was a significantly higher mortality in the DM group (27.7% vs 11.3% in non-DM, p=0.0002). On multivariate stepwise logistic regression analysis, DM was a significant independent predictor of mortality (OR 2.38, 95% CI 1.3– 4.36, p =0.005). Conclusion: DM is an independent predictor of mortality in ICD patients. Prevention of DM, as well as early diagnosis and intervention, should be emphasized in order to reduce the growing epidemic of type 2 DM and its associated complications.

scholarly journals Impact of Rehabilitation Dose on Nutritional Status at Discharge from a Convalescent Rehabilitation Ward in Malnourished Patients with Hip Fracture

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 722
Author(s):  
Yusuke Ito ◽  
Hidetaka Wakabayashi ◽  
Shinta Nishioka ◽  
Shin Nomura ◽  
Ryo Momosaki
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hip Fracture ◽  
Nutritional Status ◽  
Logistic Regression Analysis ◽  
Short Form ◽  
Mini Nutritional Assessment ◽  
Functional Independence ◽  
Rehabilitation Ward ◽  
The Impact

The object of this study is to determine the impact of the rehabilitation dose on the nutritional status at discharge from a convalescent rehabilitation ward in malnourished patients with hip fracture. This retrospective case-control study involved malnourished patients with hip fracture aged 65 years or older who had been admitted to a convalescent rehabilitation ward and whose data were registered in the Japan Rehabilitation Nutrition Database. The primary outcome was nutritional status at discharge. Patients were classified according to whether nutritional status was improved or not at discharge, according to the Mini Nutritional Assessment-Short Form® (MNA-SF) score. The association between improved nutritional status and rehabilitation dose was assessed by a logistic regression analysis. Data were available for 145 patients (27 men, 118 women; mean age 85.1 ± 7.9 years). Daily rehabilitation dose was 109.5 (median 94.6–116.2) min and the MNA-SF score at admission was 5 (median 4–6). Nutritional status was improved in 97 patients and not improved in 48. Logistic regression analysis showed the following factors to be independently associated with nutritional status at discharge: Functional Independence Measure score (OR 1.042, 95% CI 1.016–1.068), energy intake (OR 1.002 CI 1.000–1.004), daily rehabilitation dose (OR 1.023, 95% CI 1.002–1.045), and length of hospital stay (OR 1.026, 95% CI 1.003–1.049). The daily rehabilitation dose in malnourished patients with hip fracture may positively impact nutritional status at discharge.

Rural Barriers to Surgical Care for Children With Sleep-Disordered Breathing

2021 ◽  
pp. 019459982199338
Author(s):  
Flora Yan ◽  
Dylan A. Levy ◽  
Chun-Che Wen ◽  
Cathy L. Melvin ◽  
Marvella E. Ford ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sleep Disordered Breathing ◽  
Healthy Children ◽  
Loss To Follow Up ◽  
Cox Regression Analysis ◽  
Obstructive Sleep ◽  
The Impact ◽  
Disordered Breathing

Objective To assess the impact of rural-urban residence on children with obstructive sleep-disordered breathing (SDB) who were candidates for tonsillectomy with or without adenoidectomy (TA). Study Design Retrospective cohort study. Setting Tertiary children’s hospital. Methods A cohort of otherwise healthy children aged 2 to 18 years with a diagnosis of obstructive SDB between April 2016 and December 2018 who were recommended TA were included. Rural-urban designation was defined by ZIP code approximation of rural-urban commuting area codes. The main outcome was association of rurality with time to TA and loss to follow-up using Cox and logistic regression analyses. Results In total, 213 patients were included (mean age 6 ± 2.9 years, 117 [55%] male, 69 [32%] rural dwelling). Rural-dwelling children were more often insured by Medicaid than private insurance ( P < .001) and had a median driving distance of 74.8 vs 16.8 miles ( P < .001) compared to urban-dwelling patients. The majority (94.9%) eventually underwent recommended TA once evaluated by an otolaryngologist. Multivariable logistic regression analysis did not reveal any significant predictors for loss to follow-up in receiving TA. Cox regression analysis that adjusted for age, sex, insurance, and race showed that rural-dwelling patients had a 30% reduction in receipt of TA over time as compared to urban-dwelling patients (hazard ratio, 0.7; 95% CI, 0.50-0.99). Conclusion Rural-dwelling patients experienced longer wait times and driving distance to TA. This study suggests that rurality should be considered a potential barrier to surgical intervention and highlights the need to further investigate geographic access as an important determinant of care in pediatric SDB.

NLRP3 is a Novel Prognostic Biomarker and Correlates With Immune Infiltrates in Lung Adenocarcinoma and Skin Cutaneous Melanoma

2021 ◽  
Author(s):  
Chenxi Yuan ◽  
Qingwei Wang ◽  
Xueting Dai ◽  
Yipeng Song ◽  
Jinming Yu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Immune Cells ◽  
Cutaneous Melanoma ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Potential Biomarker ◽  
The Impact ◽  
Nlrp3 Expression

Abstract Background: Lung adenocarcinoma (LUAD) and skin cutaneous melanoma (SKCM) are common tumors around the world. However, the prognosis in advanced patients is poor. Because NLRP3 was not extensively studied in cancers, so that we aimed to identify the impact of NLRP3 on LUAD and SKCM through bioinformatics analyses. Methods: TCGA and TIMER database were utilized in this study. We compared the expression of NLRP3 in different cancers and evaluated its influence on survival of LUAD and SKCM patients. The correlations between clinical information and NLRP3 expression were analyzed using logistic regression. Clinicopathologic characteristics associated with overall survival in were analyzed by Cox regression. In addition, we explored the correlation between NLRP3 and immune infiltrates. GSEA and co-expressed gene with NLRP3 were also done in this study. Results: NLRP3 expressed disparately in tumor tissues and normal tissues. Cox regression analysis indicated that up-regulated NLRP3 was an independent prognostic factor for good prognosis in LUAD and SKCM. Logistic regression analysis showed increased NLRP3 expression was significantly correlated with favorable clinicopathologic parameters such as no lymph node invasion and no distant metastasis. Specifically, a positive correlation between increased NLRP3 expression and immune infiltrating level of various immune cells was observed. Conclusion: Together with all these findings, increased NLRP3 expression correlates with favorable prognosis and increased proportion of immune cells in LUAD and SKCM. These conclusions indicate that NLRP3 can serve as a potential biomarker for evaluating prognosis and immune infiltration level.

The Impact of Extraversion and Sensation Seeking on Tourist Role

2015 ◽  
Vol 43 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Cheng-Yu Li ◽  
Shiao-Yuan Lu ◽  
Bi-Kun Tsai ◽  
Keh-Yuan Yu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Sensation Seeking ◽  
Large Scale ◽  
Personality Variables ◽  
Tourism Marketing ◽  
Large Scale Survey ◽  
And Behaviors ◽  
The Impact

In recent years, personality variables, such as extraversion and sensation seeking, have been used to investigate tourist preferences and behaviors. For this study, we classified tourist roles into three types: the familiarized mass tourist, the organized mass tourist, and the independent tourist. We investigated the impact of extraversion and sensation seeking on tourist roles in a large-scale survey of Taiwanese citizens (N = 1,249) aged 20 years and older. Using logistic regression analysis, the results indicated that sensation seeking was a significant predictor of tourist role, but extraversion was not. Compared to familiarized mass tourists, people who are sensation-seeking are more likely to become independent tourists rather than organized mass tourists. We provide suggestions for tourism marketing.

Abstract TP21: Is Presence of Diabetes Mellitus a Key Prognostic Factor among Patients Receiving Endovascular Treatment for Acute Ischemic Stroke?

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Seong-Joon Lee ◽  
Yang-Ha Hwang ◽  
Ji Man Hong ◽  
Jin Wook Choi ◽  
Dong-Hun Kang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Univariate Analysis ◽  
Intravenous Thrombolysis ◽  
The Impact

Introduction: Given the recent positive endovascular therapy trials for acute ischemic stroke (AIS), this therapeutic strategy is now being increasingly incorporated into routine clinical practice. Identifying prognostic factors among AIS patients receiving endovascular revascularization treatments (ERT) in the real world could be important for clinicians and patients. While the impact of diabetes mellitus (DM) on IV thrombolytic outcomes after AIS has been extensively investigated, there is a paucity of data assessing effects of DM on ERT outcomes after AIS. We evaluated the impact of comorbid DM on ERT for AIS. Methods: From Jan 2011 to Feb 2016, patients with AIS who underwent ERT for cervicocephalic occlusions were consecutively enrolled into the Acute Stroke due to Intracranial Atherosclerotic occlusion and Neurointervention - Korean Retrospective (ASIAN KR) registry from 3 hospitals. Patients were excluded if onset to puncture time over 8 hours, in-hospital stroke, or unavailable 3-month mRS. DM was diagnosed if a patient had the history, or hemoglobin A1c on admission was over 6.5. Univariate analysis was performed to compare the characteristics between DM and non-DM population. Multiple logistic regression analysis was used to validate the effect of comorbid DM on 3 month outcomes. Results: Of 721 patients, 667 (93%) were finally included, with 233 DM patients and 434 non-DM patients. In the univariate analysis, comorbidity with hypertension (71.2% vs. 58.3%, p=0.001) and dyslipidemia (36.7% vs. 26.7%, p=0.012) were more frequent in the DM population. Periprocedural factors such as target vessels, intravenous thrombolysis, and final reperfusion grades did not differ. Good outcomes with mRS 0-2 were less frequent in the DM population (43.3% vs. 53.7%, p=0.011). In the logistic regression analysis adjusting age, male sex, initial NIHSS, premorbid mRS, hypertension history, atrial fibrillation, intravenous thrombolysis, onset to puncture time and successful reperfusion, DM was an independent predictor of poor outcomes (mRS 3-6; 1.933, 1.274-2.933, p=0.002). Conclusion: In patients receiving ERT for AIS due to cervicocephalic artery occlusions, the presence of DM as a comorbidity confers greater odds of a poor functional outcome.

P2744Age distribution of valvular heart disease in China: from a national multicenter prospective cohort study

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
B Zhang ◽  
H T Zhang ◽  
H Y Xu ◽  
Y J Wu
Keyword(s):  
Logistic Regression ◽  
Cohort Study ◽  
Heart Disease ◽  
Mitral Valve ◽  
Valvular Heart Disease ◽  
Mitral Valve Disease ◽  
Multimodality Imaging ◽  
Valve Disease ◽  
Multivariate Logistic Regression ◽  
The Impact

Abstract Background Valvular heart disease (VHD) has been caught in two important cross-currents in recent decades: aging demography and the rise of multimodality imaging and transcatheter valve therapy. In this setting, we aim to identify the distribution, characteristics, and management of Chinese VHD patients according to age. Methods China Valvular Heart Disease Cohort Study (China-VHD) was conducted from March to September 2019 in 46 centers over China. It included prospectively 12331 adults with native moderate or severe VHD, of which we described the distribution, management, and in-hospital events according to age (18–44, 45–54, 55–64, 65–74, ≥75). Multivariate Logistic regression was employed to investigate the impact of age on in-hospital events composed of in-hospital mortality, acute heart failure, and stoke. Results In Chinese VHD population, overall percentage peaked in 55–64 year olds. The frequency of multivalvular heart disease (MVHD) saw an increasing trend with age (p for trend <0.001). Of single valvular heart disease, mitral regurgitation (MR) was the most frequent left-sided VHD followed by aortic regurgitation (AR), aortic stenosis (AS), and mitral stenosis (MS). AS frequency significantly grew with age (p for trend = 0.02) while AR peaked in 18–44 year olds and fluctuated at a lower level in the older population. In contrast, mitral valve disease (MS, MR, and mixed mitral valve disease) was most frequent in 45–54 year olds and dropped with age (p for trend all <0.001). Noteworthily, all aortic valve disease was notably frequent in men whereas mitral valve disease and MVHD more common in women. Similar to developed countries, degenerative etiology rose steeply while rheumatic and congenital origin fell with age. Regarding management, surgical valve replacement rate was similar in age groups lower than 75 years old with increasing frequency of concomitant CABG. No matter aortic or mitral, the percentage of bio-prosthesis rocketed after 65 years (aortic: 74.7%, mitral: 70.6%). In multivariate logistic regression, covariables included age, sex, BMI, hypertension, diabetes, coronary heart disease, aortic disease, cardiomyopathy, COPD, NYHA class and valvular intervention. Compared to patients younger than 45, in-hospital events significantly higher in patients over 75 only (OR: 1.69 [95% CI: 1.07–2.66], p<0.02). Moreover, women showed a lower risk of in-hospital events (OR: 0.78 [95% CI: 0.63–0.96], p<0.01). Age distribution of VHD Conclusion Age plays a crucial role in valvular heart disease, best illustrated in AS. Unlike the western world, AR and MR are more frequent than AS but show a slightly decreasing trend with age. As expected, degenerative etiology is becoming more prevalent whereas rheumatism decreases. Age over 75 and male are associated with growing in-hospital events. Degenerative VHD thus present an important public-health burden. Acknowledgement/Funding Innovation project of Chinese academy of medical science

Trust in police as an influencing factor on trust in government: 2SLS analysis using perception of safety

2020 ◽  
Vol 43 (4) ◽  
pp. 541-558
Author(s):  
Jisu Jeong ◽  
Seunghui Han
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Trust In Government ◽  
Content Type ◽  
Perception Of Safety ◽  
Ordered Logistic Regression ◽  
The Impact ◽  
The Relationship ◽  
Trust In Police

PurposeCitizen trust in police is important in terms of citizen consent to government policies and of police achieving their organizational goals. In the previous study, improvements in police policy, organizational operation and policing activities were developed to clarify which factors influence trust in police and how trust can be improved. This research raises the question, would changes in trust in police have an impact on trust in government? In this paper, this research question is discussed theoretically and the causal relationship analyzed empirically by applying OLS, ordered logistic, 2SLS and logistic regressions.Design/methodology/approachThe basic analysis methods are to apply the OLS and the ordered logistic regression. OLS regression analysis is an analytical method that minimizes an error range of a regression line. The assumptions for OLS are: linearity, independence, equilibrium, extrapolation and multicollinearity issues. These problems were statistically verified and analyzed, in order to confirm the robustness of the analysis results by comparing the results of the ordered logistic regression because of the sequence characteristic of the dependent variable. The data to be used in this study is the Asia Barometer Survey in 2013.FindingsTrust in police and citizen perception of safety are analyzed as important factors to increase trust in the government. The effects of trust in police are more significant than the effects of control variables, and the direction and strength of the results are stable. The effect of trust in police on trust in government is strengthened by the perception of safety (IV). In addition, OLS, ordered logistic regression analysis, which analyzed trust in central government and local government, and logistic regression analysis categorized by trust and distrust show the stability.Research limitations/implicationsThis paper has implications in terms of theoretical and empirical analysis of the relationship between trust in police and trust in government. In addition, the impact of perception of safety on trust in police can be provided to police officers, policymakers and governors who are seeking to increase trust in government. This paper is also meaningful in that it is the microscopic research based on the citizens' survey. One of the limitations of macroscopic research is that it does not consider the individual perceptions of citizens.Practical implicationsThe results of this paper can confirm the relationship of the virtuous cycle, which is perception of safety – trust in police – trust in government. The police will need to provide security services to improve citizens' perception of safety and make great efforts to create safer communities and society. Trust in police formed through this process can be an important component of trust in government. By making citizens feel safer and achieving trust in police, ultimately, trust in government will be improved.Originality/valueThe police perform one of the essential roles of government and are one of the major components of trust in government, but the police sector has been neglected compared to the roles of the economic and political sectors. These influences of macro factors are too abstract to allow specific policy directions to be suggested. If we consider trust in police, and factors that can improve trust in government, we can suggest practical policy alternatives.

Prognostic Significance of Nuclear Receptor Coactivator-3 Overexpression in Primary Cutaneous Melanoma

2006 ◽  
Vol 24 (28) ◽  
pp. 4565-4569 ◽  
Author(s):  
Javier Rangel ◽  
Sima Torabian ◽  
Ladan Shaikh ◽  
Mehdi Nosrati ◽  
Frederick L. Baehner ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Nuclear Receptor ◽  
Cutaneous Melanoma ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Primary Cutaneous Melanoma ◽  
Nuclear Receptor Coactivator ◽  
Kaplan Meier ◽  
The Impact

Purpose To assess the prognostic significance of nuclear receptor coactivator-3 (NCOA3) overexpression in primary cutaneous melanoma. Patients and Methods NCOA3 expression was assessed using immunohistochemical analysis of a melanoma tissue microarray (TMA) containing primary melanomas from 343 patients with defined histology and follow-up. The impact of the presence or absence of various prognostic factors on relapse-free survival (RFS) and disease-specific survival (DSS) of melanoma patients was assessed using Cox regression and Kaplan-Meier analysis. The impact of presence or absence of various factors on sentinel lymph node (SLN) metastasis was assessed using logistic regression analysis. Results Increasing degree of NCOA3 expression was significantly predictive of SLN metastasis (P = .013) and the mean number of SLN metastases (P = .031). Kaplan-Meier analysis demonstrated a significant association between NCOA3 overexpression and reduced RFS (P = .021) and DSS (P = .030). Logistic regression analysis revealed increasing degree of NCOA3 expression to be an independent predictor of SLN status (P = .017). Multivariate Cox regression analysis showed the independent impact of NCOA3 expression on RFS (P = .0095) and DSS (P = .021). NCOA3 was the most powerful factor predicting DSS, outperforming tumor thickness and ulceration. Conclusion These results identify NCOA3 as a novel, independent marker of melanoma outcome, with a significant impact on SLN metastasis, RFS, and DSS.

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