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Cap-Score™ prospectively predicts probability of pregnancy.

ABSTRACT: Semen analysis (SA) poorly predicts male fertility, because it does not assess sperm fertilizing ability. The percentage of capacitated sperm determined by GM1 localization ("Cap-Score™"), differs between cohorts of fertile and potentially infertile men, and retrospectively, between men conceiving or failing to conceive by intrauterine insemination (IUI). Here, we prospectively tested whether Cap-Score can predict male fertility with the outcome being clinical pregnancy within ?3 IUI cycles. Cap-Score and SA were performed (n?=?208) with outcomes initially available for 91 men. Men were predicted to have either low (n?=?47) or high (n?=?44) chance of generating pregnancy using previously-defined Cap-Score reference ranges. Absolute and cumulative pregnancy rates were reduced in men predicted to have low pregnancy rates versus high ([absolute: 10.6% vs. 29.5%; p?=?0.04]; [cumulative: 4.3% vs. 18.2%, 9.9% vs. 29.1%, and 14.0% vs. 32.8% for cycles 1-3; n?=?91, 64, and 41; p?=?0.02]). Only Cap-Score, not male/female age or SA results, differed significantly between outcome groups. Logistic regression evaluated Cap-Score and SA results relative to the probability of generating pregnancy (PGP) for men who were successful in, or completed, three IUI cycles (n?=?57). Cap-Score was significantly related to PGP (p?=?0.01). The model fit was then tested with 67 additional patients (n?=?124; five clinics); the equation changed minimally, but fit improved (p?

SUBMITTER: Schinfeld J

PROVIDER: S-EPMC6221170 | biostudies-other | 2018 Aug

REPOSITORIES: biostudies-other

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Cap-Score™ prospectively predicts probability of pregnancy.

Schinfeld Jay J Sharara Fady F Morris Randy R Palermo Gianpiero D GD Rosenwaks Zev Z Seaman Eric E Hirshberg Steve S Cook John J Cardona Cristina C Ostermeier G Charles GC Travis Alexander J AJ

Molecular reproduction and development 20180801 8-9

Semen analysis (SA) poorly predicts male fertility, because it does not assess sperm fertilizing ability. The percentage of capacitated sperm determined by G<sub>M1</sub> localization ("Cap-Score™"), differs between cohorts of fertile and potentially infertile men, and retrospectively, between men conceiving or failing to conceive by intrauterine insemination (IUI). Here, we prospectively tested whether Cap-Score can predict male fertility with the outcome being clinical pregnancy within ≤3 IUI ...[more]

PMID: 30187594

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Project description:Existing cognitive and clinical predictors of treatment response to date are not of sufficient strength to meaningfully impact treatment decision making and are not readily employed in clinical settings. This study investigated whether clinical and cognitive markers used in a tertiary care clinic could predict response to usual treatment over a period of 4 to 6 months in a sample of 75 depressed adults. Patients (N = 384) were sequentially tested in 2 half-day clinics as part of a quality improvement project at an outpatient tertiary care center between August 2003 and September 2007; additional subjects evaluated in the clinic between 2007 and 2009 were also included. Diagnosis was according to DSM-IV-TR criteria and completed by residents and attending faculty. Test scores obtained at intake visits on a computerized neuropsychological screening battery were the Parametric Go/No-Go task and Facial Emotion Perception Task. Treatment outcome was assessed using 9-item Patient Health Questionnaire (PHQ-9) self-ratings at follow-up (n = 75). Usual treatment included psychotropic medication and psychotherapy. Decline in PHQ-9 scores was predicted on the basis of baseline PHQ-9 score and education, with neuropsychological variables entered in the second step. PHQ-9 scores declined by 46% at follow-up (56% responders). Using 2-step multiple regression, baseline PHQ-9 score (P ≤ .05) and education (P ≤ .01) were significant step 1 predictors of percent change in PHQ-9 follow-up scores. In step 2 of the model, faster processing speed with interference resolution (go reaction time) independently explained a significant amount of variance over and above variables in step 1 (12% of variance, P < .01), while other cognitive and affective skills did not. This 2-step model accounted for 28% of the variance in treatment change in PHQ-9 scores. Processing speed with interference resolution also accounted for 12% variance in treatment and follow-up attrition. Use of executive functioning assessments in clinics may help identify individuals with cognitive weaknesses at risk for not responding to standard treatments.

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Cap-Score™ prospectively predicts probability of pregnancy.

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Cap-Score™ prospectively predicts probability of pregnancy.

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