Establishment and validation of a nomogram model for predicting ovulation in the PCOS women.

BACKGROUND: The mechanisms underlying ovulatory dysfunction in PCOS remain debatable. This study aimed to identify the factors affecting ovulation among PCOS patients based on a large sample-sized randomized control trial. METHODS: Data were obtained from a multi-centered randomized clinical trial, the PCOSAct, which was conducted between 2011 and 2015. Univariate and multivariate analysis using binary logistic regression were used to construct a prediction model and nomogram. The accuracy of the model was assessed using receiver operating characteristic (ROC) curves and calibration curves. RESULTS: The predictive variables included in the training dataset model were luteinizing hormone (LH), free testosterone, body mass index (BMI), period times per year, and clomiphene treatment. The ROC curve for the model in the training dataset was 0.81 (95% CI [0.77, 0.85]), while in the validation dataset, it was 0.7801 (95% CI [0.72, 0.84]). The model showed good discrimination in both the training and validation datasets. Decision curve analysis demonstrated that the nomogram designed for ovulation had clinical utility and superior discriminative ability for predicting ovulation. CONCLUSIONS: The nomogram composed of LH, free testosterone, BMI, period times per year and the application of clomiphene may predict the ovulation among PCOS patients.

The Value of Anti-Müllerian Hormone in Predicting Ovulation Induced by Aromatase Inhibitors in Women With Polycystic Ovary Syndrome.

OBJECTIVES: This study aimed to evaluate the value of anti-Müllerian hormone (AMH) in predicting ovulation induced by aromatase inhibitors (AI) and pregnancy outcomes in women with polycystic ovary syndrome (PCOS). METHODS: From January 2018 to December 2020, this prospective cohort study enrolled women with PCOS aged between 18 and 45 years who underwent ovulation induction using AI protocol and intrauterine insemination (IUI) for infertility at a Center for Reproductive Endocrinology and Infertility, University Hospital. Receiver operating characteristic curves were used to estimate the chance of ovulation responses and pregnancy outcomes. RESULTS: In total, 64% of 65 women with PCOS were recruited following AI treatment, and the clinical pregnancy rate was 19.4% following IUI. Patients who experienced ovulation had a lower mean serum AMH concentration than non-responders (7.11 ng/mL vs. 8.95 ng/mL, respectively), but the difference was not statistically significant. Between the pregnancy and non-pregnancy groups, statistically significant differences in AMH concentrations were observed (8.71 ng/mL vs. 6.73 ng/mL, respectively, P = 0.040). The area under the curve of the receiver operating characteristic for non-ovulation prediction was 0.445, 95% CI (0.284-0.606) with P = 0.467, and for clinical pregnancy was 0.735, 95% CI (0.561-0.910) with P = 0.104. CONCLUSIONS: In women with PCOS, the AMH level does not predict ovarian responsiveness to AI treatment, but it does predict the success of IUI cycles.

A survey of women's experiences of using period tracker applications: Attitudes, ovulation prediction and how the accuracy of the app in predicting period start dates affects their feelings and behaviours.

INTRODUCTION: Using an online survey, the aim of this study was to ask women about their real-life experiences of using period tracker apps, their attitudes towards using their app, the information the app provided regarding ovulation and how the accuracy of the app in predicting period start dates affects their feelings and behaviours if their period comes earlier or later than predicted. METHODS: This mixed-methods observational study was conducted by an online survey of 50 multiple-choice and open-ended questions. The survey was generated with Qualtrics XM® and promoted via social media. It was open to any person who had used a period tracker. RESULTS: From 375 total responses, 330 complete responses were obtained, giving a completion rate of 88.0%. Respondents were aged between 14 and 54, with a mean age of 26.0 (±7.81). When asked what was the best thing about using the app, 29.7% (98/330) of respondents selected 'To know when I'm ovulating'. Respondents were asked if their period ever started earlier than the app predicted; 54.9% (189/330) said it had and 72.1% (238/330) said it had started later than predicted. When asked how they felt if their period arrived earlier or later than expected, thematic analysis of periods starting earlier revealed four themes: feeling unaffected, being frustrated/unprepared, feeling anxious/stressed and feeling confused/intrigued. Thematic analysis when their period arrived later revealed six themes: anxious/concerned about pregnancy, disappointed about pregnancy, seeking advice/informing healthcare professionals, thoughts about menopause, feeling unaffected and being better prepared. CONCLUSION: Period trackers need to be clearer on their intended use and reliability, especially for period due date and ovulation. Qualitative analysis shows the impact of inaccurate predictions on aspects of the users' health. This study calls for period tracker app companies to update their apps to provide transparency to their users about their intended use and capabilities.

Evaluation of Ovarian Reserve Tests and Age in the Prediction of Poor Ovarian Response to Controlled Ovarian Stimulation-A Real-World Data Analysis of 89,002 Patients.

Aims: This study aimed to explore the value of ovarian reserve tests (ORTs) for predicting poor ovary response (POR) and whether an age cutoff could improve this forecasting, so as to facilitate clinical decision-making for women undergoing in vitro fertilization (IVF). Methods: A retrospective cohort study was conducted on poor ovary response (POR) patients using real-world data from five reproductive centers of university-affiliated hospitals or large academic hospitals in China. A total of 89,002 women with infertility undergoing their first traditional ovarian stimulation cycle for in vitro fertilization from January 2013 to December 2019 were included. The receiver operating characteristic (ROC) curve was performed to estimate the prediction value of POR by the following ORTs: anti-Mullerian hormone (AMH), antral follicle count (AFC), basal FSH (bFSH), as well as patient age. Results: In this retrospective cohort, the frequency of POR in the first IVF cycle was 14.8%. Age, AFC, AMH, and bFSH were used as predicting factors for POR, of which AMH and AFC were the best indicators when using a single factor for prediction (AUC 0.862 and 0.842, respectively). The predictive values of the multivariate model included age and AMH (AUC 0.865), age and AFC (AUC 0.850), age and all three ORTs (AUC 0.873). Compared with using a single factor alone, the combinations of ORTs and female age can increase the predictive value of POR. Adding age to single AMH model improved the prediction accuracy compared with AMH alone (AUC 0.865 vs. 0.862), but the improvement was not significant. The AFC with age model significantly improved the prediction accuracy of the single AFC model (AUC 0.846 vs. 0.837). To reach 90% specificity for POR prediction, the cutoff point for age was 38 years old with a sensitivity of 40.7%, 5 for AFC with a sensitivity of 55.9%, and 1.18 ng/ml for AMH with a sensitivity of 63.3%. Conclusion: AFC and AMH demonstrated a high accuracy when using ROC regression to predict POR. When testing is reliable, AMH can be used alone to forecast POR. When AFC is used as a prediction parameter, age is suggested to be considered as well. Based on the results of the cutoff threshold analysis, AFC ≤ 5 and AMH ≤ 1.18 ng/ml should be recommended to predict POR more accurately in IVF/ICSI patients.

Noninvasive detection of human dehydroepiandrosterone, progesterone and testosterone using LC-MS/MS revealed effects of birth control pills/devices and body weight on ovulatory prediction.

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been increasingly used to measure steroids in human saliva. We studied the performance of a conventional LC-MS/MS for measuring dehydroepiandrosterone (DHEA), testosterone and progesterone in human saliva. These three steroids were co-extracted by liquid-liquid extraction and derivatized. Derivatives were resolved on a C18 column and quantified using an LC-MS/MS (AB Sciex API 2000) instrument. The assay's limits of quantification were 0.03 ng/mL for all three steroids. Inter-assay coefficients of variation were 16.6-18.8% (DHEA), 12.0-15.8% (testosterone), and 12.7-19.3% (progesterone). Assay linearity analysis showed R2 of 0.9926, 0.9750 and 0.9949 for DHEA, testosterone and progesterone, respectively. No carry-over between samplings was observed. An ion-enhancement effect of 11.6% for DHEA determination and ion-suppression effects of 13.9% and 20.7% for analysis of progesterone and testosterone, respectively, were determined. No interferences by 9 steroid analogs were detected. Spiked recoveries were 85.5% (DHEA), 86.5% (testosterone), and 92.6% (progesterone). Comparison with laboratory developed test (LDT)-LC-MS/MS methods by other New York State Department of Health certified laboratories revealed R2 = 0.9425 (DHEA, LC-MS/MS = 1.0267 LDT + 21.989), R2 = 0.9849 (testosterone, LC-MS/MS = 0.9447 LDT + 9.8037), and R2 = 0.9736 (progesterone, LC-MS/MS = 1.1196 LDT + 0.0985). Reference intervals for the 3 steroids in saliva for young males and females were estimated. Results of intra-individual salivary progesterone analysis indicated that caution should be exercised when using progesterone concentrations in predicting ovulation for females who are under treatment with birth control pills/devices or has body a weight of > 90 kg.

A proof-of-concept of lateral flow based luteinizing hormone detection in urine for ovulation prediction in buffaloes.

We present a method for the detection of luteinizing hormone (LH) in buffalo urine by using gold nanoparticles (AuNPs) conjugated with novel anti-peptide antibodies against LH (anti LHP) in lateral flow assay format. Buffalo LH is an important reproductive hormone and is a chemically complex glycoprotein. Its surge release precedes ovulation and therefore detecting LH has implications in identifying the ovulation event. Any sensor thus developed for sensing LH may have the potential for predicting ovulation and hence can assist herd managers in making decisions on the timing of artificial insemination. Recombinant LH production is time consuming, difficult and costly. Hence, we identified an epitope peptide sequence in buffalo LH and raised antibodies against it. The chemically synthesized peptide and antibodies were used for developing the sensor. The gold nanoparticles and conjugates were characterized through physicochemical methods which confirmed the binding of peptides and antibodies to the gold nanoparticles. A qualitative ELISA for sensing LH was developed based on competitive binding of gold nanoparticles conjugated with the epitope peptide and LH towards the anti-peptide antibodies against LH. We also further explored the detection of LH in buffalo urine using the gold nanoparticle-LHP conjugate (AuNP-LHP) in dipstick format. These experiments provided a proof-of-concept towards applicability of the LH based sensor for ovulation prediction in buffaloes.

Peri-implantation urinary hormone monitoring distinguishes between types of first-trimester spontaneous pregnancy loss.

BACKGROUND: Lutenising hormone (LH) and human chorionic gonadotropin (hCG) hormone are useful biochemical markers to indicate ovulation and embryonic implantation, respectively. We explored "point-of-care" LH and hCG testing using a digital home-testing device in a cohort trying to conceive. OBJECTIVE: To determine conception and spontaneous pregnancy loss rates, and to assess whether trends in LH-hCG interval which are known to be associated with pregnancy viability could be identified with point-of-care testing. METHODS: We recruited healthy women aged 18-44 planning a pregnancy. Participants used a home monitor to track LH and hCG levels for 12 menstrual cycles or until pregnancy was conceived. Pregnancy outcomes (viable, clinical miscarriage, or biochemical pregnancy loss) were recorded. Monitor data were analysed by a statistician blinded to pregnancy outcome. RESULTS: From 387 recruits, there were 290 pregnancies with known outcomes within study timeline. Adequate monitor data for analysis were available for 150 conceptive cycles. Overall spontaneous first-trimester pregnancy loss rate was 30% with clinically recognised miscarriage rate of 17%. The difference to LH-hCG interval median had wider spread for biochemical losses (0.5-8.5 days) compared with clinical miscarriage (0-5 days) and viable pregnancies (0-6 days). Fixed effect hCG profile change distinguished between pregnancy outcomes from as early as day-2 post-hCG rise from baseline. CONCLUSIONS: The risk of first-trimester spontaneous pregnancy loss in our prospective cohort is comparable to studies utilising daily urinary hCG collection and laboratory assays. A wider LH-hCG interval range is associated with biochemical pregnancy loss and may relate to late or early implantation. Although early hCG changes discriminate between pregnancies that will miscarry from viable pregnancies, this point-of-care testing model is not sufficiently developed to be predictive.

Increased Likelihood of Pregnancy Using an App-Connected Ovulation Test System: A Randomized Controlled Trial.

Background: Women trying to conceive are increasingly using fertility-tracking software applications to time intercourse. This study evaluated the difference in conception rates between women trying to conceive using an application-connected ovulation test system, which measures urinary luteinizing hormone and an estrogen metabolite, versus those trying without using ovulation testing. Materials and Methods: This home-based study involved 844 volunteers aged 18-40 years seeking to conceive. Volunteers randomized to the test arm were required to use the test system for the duration of the study while those randomized to the control arm were instructed not to use ovulation testing. Pregnancy rate differences across one and two cycles between the two groups were examined. Results: Volunteers in the test (n = 382) and control arms (n = 403) had similar baseline demographics. The proportion of women pregnant after one cycle was significantly greater in the test arm (25.4%) compared with the control arm (14.7%; p < 0.001). After two cycles, there continued to be a greater proportion of women pregnant in the test arm compared with the control arm (36.2% vs. 28.6%; p = 0.026). In the test arm, volunteers had intercourse less frequently per cycle compared with those not using ovulation testing (9 [range: 1-60] vs. 10 [range: 1-50]; p = 0.027), but were more likely to target intercourse to a particular part of their cycle compared with those not using ovulation testing (88.5% vs. 57.8%; p < 0.001). Conclusion: Using the test system to time intercourse within the fertile window increases the likelihood of conceiving within two menstrual cycles.

Menstrual cyclicity is predictably unpredictable.

"Time moves slowly but passes quickly" - Alice Walker.

Identification and prediction of the fertile window with a new web-based medical device using a vaginal biosensor for measuring the circadian and circamensual core body temperature.

Fertility awareness-based (FAB) methods represent a term that includes all family planning methods that are based on the identification of the fertile window. They are based on the woman's observation of physiological signs of the fertile and infertile phases of the menstrual cycle. The first approach consists basically in symptothermal methods accompanied by cervical mucus measurements and clinical menstrual cycling data recording. The second most often used methods are the urinary measurement of E3G and luteinizing hormone (LH) with a personalized computer system. Hence these systems lack the efficacy of the continuous circadian and circamensual measurement of the core body temperature. Only this approach enables the accurate detection of the ovulation during the fertile window. A new medical device called OvulaRing has been developed to fill this gap. In the present study, the system and its first clinical results are presented. OvulaRing is a medical device used just like a tampon. The device is a vaginal ring of evatane that contains an integrated biosensor. This sensor measures continuously every 5 min the core body temperature throughout the entire cycle. This device allows a circadian and circamensual intravaginal exact measurement. With this system, 288 measurements are created per day. The system can detect retrospectively and predict prospectively the fertile window of the users. One hundred and fifty eight women aged between 18 and 45 years used this medical device in an open non-randomized clinical study for 15 months. A total of 470 cycles could be recorded and were able for analysis. By the same time in a subgroup of patients, hormonal assessments of LH, follicle-stimulating hormone, estradiol and progesterone as well as vaginal ultrasound were performed in parallel between the 9th and the 36th day of the cycle. The validation error due to software errors was 0.89% for the retrospective analysis; that means that the accuracy for the detection of the ovulation was 99.11%. Accuracy of 88.8% for a window of 3 days before ovulation, the day of ovulation and the 3 days after ovulation was achieved for the prospective analysis. In the subgroup of woman with recorded pregnancies, it could be shown that after 3.79 months of use (median) pregnancies were observed. In 67.72% in up to 3 months, in 16.36% between 3 and 6 months of use, in 7.27% between 7 and 9 months, in 5.45% between 10 and 12 months and in 1.82% between 13 and 15 months of use of the system. With this new web-based system, a precise determination of the fertile window even in women with ultralong cycles (>35 days) could be detected independently of their personal live circumstances. Exact determination of the fertile window is herewith possible so that OvulaRing represents an evolution in the FAB method for the cycle diagnosis of women with regular, irregular or anovulatory menstrual cycles.

Use of Bone Morphogenetic Protein 15 Polymorphisms to Predict Ovarian Stimulation Outcomes in Infertile Brazilian Women.

AIMS: Polymorphisms in the gene encoding bone morphogenetic protein 15 (BMP15) can result in inhibited secretion or lowered bioactivity of the BMP15 protein. BMP15 levels are associated with follicle-stimulating hormone receptor (FSHR) action on granulosa cells, wherein FSHR increases the sensitivity of ovarian follicles to follicle-stimulating hormone (FSH). In this study we evaluated the BMP15 polymorphisms A905 > G/rs3897937, C901 > T/rs17003221, and C-9 > G/rs3810682 in infertile Brazilian women in terms of anti-Mullerian hormone (AMH), FSH, and estradiol serum levels, as well as controlled ovarian hyperstimulation response and assisted reproduction outcomes. METHODS: A cross-sectional study comprising 186 infertile women who underwent the first cycle of high complexity assisted reproduction treatment was conducted using the TaqMan assay for quantitative polymerase chain reaction genotyping. Serum AMH, FSH, and estradiol levels were measured by enzyme-linked immunosorbent assay. RESULTS: For C901 > T (rs17003221) carriers, there was a statistically significant difference among carriers of a polymorphic BMP15 genotype (TT) and the estradiol concentration. These women had higher estradiol levels than women who had homozygous wild type or heterozygous genotypes. There was also a positive correlation between serum AMH and the C-9 > G (rs3810682) polymorphism, wherein women carrying both polymorphic alleles (homozygous, GG) had higher average AMH levels than heterozygous women. However, none of the three polymorphisms studied showed a statistically significant correlation with assisted reproduction outcome. DISCUSSION: Oocytes are known to secrete factors that regulate follicular development and oocyte maturation. Abnormal expression of these factors may thus be involved in follicular development disorders. A recent study highlighted the importance of BMP15 in regulating ovulation rates in sheep and that heterozygous deletions in the -9C > G polymorphism reduced BMP15 concentrations, increased granulosa cell FHSR mRNA levels, elevated estrogen secretion, and activated production of stem cell factors. In this study we found that BMP15 polymorphisms affected estrogen and AMH levels. CONCLUSION: BMP15 polymorphisms are not correlated with ovarian stimulation and assisted reproduction outcomes in infertile Brazilian women.

Prospective evaluation of luteal phase length and natural fertility.

OBJECTIVE: To evaluate the impact of a short luteal phase on fecundity. DESIGN: Prospective time-to-pregnancy cohort study. SETTING: Not applicable. PATIENT(S): Women trying to conceive, ages 30-44 years, without known infertility. INTERVENTION(S): Daily diaries, ovulation prediction testing, standardized pregnancy testing. MAIN OUTCOME MEASURE(S): Subsequent cycle fecundity. RESULT(S): Included in the analysis were 1,635 cycles from 284 women. A short luteal phase (≤11 days including the day of ovulation) occurred in 18% of observed cycles. Mean luteal phase length was 14 days. Significantly more women with a short luteal phase were smokers. After adjustment for age, women with a short luteal phase had 0.82 times the odds of pregnancy in the subsequent cycle immediately following the short luteal phase compared with women without a short luteal phase. Women with a short luteal length in the first observed cycle had significantly lower fertility after the first 6 months of pregnancy attempt, but at 12 months there was no significant difference in cumulative probability of pregnancy. CONCLUSION(S): Although an isolated cycle with a short luteal phase may negatively affect short-term fertility, incidence of infertility at 12 months was not significantly higher among these women. CLINICAL TRIAL REGISTRATION NUMBER: NCT01028365.

The Influence of Native Language on Auditory-Perceptual Evaluation of Vocal Samples Completed by Brazilian and Canadian SLPs.

OBJECTIVE: This study aimed to determine the influence of native language on the auditory-perceptual assessment of voice, as completed by Brazilian and Anglo-Canadian listeners using Brazilian vocal samples and the grade, roughness, breathiness, asthenia, strain (GRBAS) scale. STUDY DESIGN: This is an analytical, observational, comparative, and transversal study conducted at the Speech Language Pathology Department of the Federal University of Minas Gerais in Brazil, and at the Communication Sciences and Disorders Department of the University of Alberta in Canada. METHODS: The GRBAS scale, connected speech, and a sustained vowel were used in this study. The vocal samples were drawn randomly from a database of recorded speech of Brazilian adults, some with healthy voices and some with voice disorders. The database is housed at the Federal University of Minas Gerais. Forty-six samples of connected speech (recitation of days of the week), produced by 35 women and 11 men, and 46 samples of the sustained vowel /a/, produced by 37 women and 9 men, were used in this study. The listeners were divided into two groups of three speech therapists, according to nationality: Brazilian or Anglo-Canadian. The groups were matched according to the years of professional experience of participants. The weighted kappa was used to calculate the intra- and inter-rater agreements, with 95% confidence intervals, respectively. RESULTS: An analysis of the intra-rater agreement showed that Brazilians and Canadians had similar results in auditory-perceptual evaluation of sustained vowel and connected speech. The results of the inter-rater agreement of connected speech and sustained vowel indicated that Brazilians and Canadians had, respectively, moderate agreement on the overall severity (0.57 and 0.50), breathiness (0.45 and 0.45), and asthenia (0.50 and 0.46); poor correlation on roughness (0.19 and 0.007); and weak correlation on strain to connected speech (0.22), and moderate correlation to sustained vowel (0.50). CONCLUSION: In general, auditory-perceptual evaluation is not influenced by the native language on most dimensions of the perceptual parameters of the GRBAS scale.

Three-dimensional sonography-based automated volume calculation (SonoAVC) versus two-dimensional manual follicular tracking in in vitro fertilization.

OBJECTIVE: To compare the predictive value of manual two-dimensional follicular monitoring with that of sonography-based automated volume calculation (SonoAVC) in routine follicular tracking in in vitro fertilization (IVF). METHODS: A prospective study was undertaken of women undergoing IVF with controlled ovarian hyperstimulation at a center in New Delhi, India, between October and November 2013. Follicular monitoring was performed both manually and in three dimensions with SonoAVC. On the day of oocyte retrieval, the follicular count and dimensions were calculated with both techniques and correlated with the number of oocytes retrieved. RESULTS: Overall, 46 patients and 91 ovaries were studied. The mean times taken to perform manual and SonoAVC measurements were 209.2 ± 47.4 s and 156.6 ± 38.6 s, respectively (P < 0.001). The mean follicular count was significantly lower when measured manually than with SonoAVC (8.46 ± 3.35 vs 9.91 ± 4.60; P = 0.016). However, the mean leading follicle diameter measured manually (19.45 ± 2.46 mm) was similar to both the mean diameter (21.12 ± 2.65 mm) and the volume-based diameter (19.56 ± 2.16 mm) measured with SonoAVC. CONCLUSION: Three-dimensional SonoAVC could be a useful adjunct for follicular monitoring, with a significant reduction in time and a good correlation with manual counts. However, further studies with larger sample sizes are required.

Timed intercourse for couples trying to conceive.

BACKGROUND: Fertility problems are very common, as subfertility affects about 10% to 15% of couples trying to conceive. There are many factors that may impact a couple's ability to conceive and one of these may be incorrect timing of intercourse. Conception is only possible from approximately five days before up to several hours after ovulation. Therefore, to be effective, intercourse must take place during this fertile period. 'Timed intercourse' is the practice of prospectively identifying ovulation and, thus, the fertile period to increase the likelihood of conception. Whilst timed intercourse may increase conception rates and reduce unnecessary intervention and costs, there may be associated adverse aspects including time consumption and stress. Ovulation prediction methods used for timing intercourse include urinary hormone measurement (luteinizing hormone (LH), estrogen), tracking basal body temperatures, cervical mucus investigation, calendar charting and ultrasonography. This review considered the evidence from randomised controlled trials for the use of timed intercourse on positive pregnancy outcomes. OBJECTIVES: To assess the benefits and risks of ovulation prediction methods for timing intercourse on conception in couples trying to conceive. SEARCH METHODS: We searched the following sources to identify relevant randomised controlled trials, the Menstrual Disorders and Subfertility Group Specialised Register, the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, PsycINFO, PubMed, LILACS, Web of Knowledge, the World Health Organization (WHO) Clinical Trials Register Platform and ClinicalTrials.gov. Furthermore, we manually searched the references of relevant articles. The search was not restricted by language or publication status. The last search was on 5 August 2014. SELECTION CRITERIA: We included randomised controlled trials (RCTs) comparing timed intercourse versus intercourse without ovulation prediction or comparing different methods of ovulation prediction for timing intercourse against each other in couples trying to conceive. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trial eligibility and risk of bias and extracted the data. The primary review outcomes were cumulative live birth and adverse events (such as quality of life, depression and stress). Secondary outcomes were clinical pregnancy, pregnancy (clinical or self-reported pregnancy, not yet confirmed by ultrasound) and time to conception. We combined data to calculate pooled risk ratios (RRs) and 95% confidence intervals (CIs). Statistical heterogeneity was assessed using the I(2) statistic. We assessed the overall quality of the evidence for the main comparisons using GRADE methods. MAIN RESULTS: We included five RCTs (2840 women or couples) comparing timed intercourse versus intercourse without ovulation prediction. Unfortunately one large study (n = 1453) reporting live birth and pregnancy had not published outcome data by randomised group and therefore could not be analysed. Consequently, four RCTs (n = 1387) were included in the meta-analysis. The evidence was of low to very low quality. Main limitations for downgrading the evidence included imprecision, lack of reporting clinically relevant outcomes and the high risk of publication bias.One study reported live birth, but the sample size was too small to draw any relevant conclusions on the effect of timed intercourse (RR 0.75, 95% CI 0.16 to 3.41, 1 RCT, n = 17, very low quality).One study reported stress as an adverse event. There was no evidence of a difference in levels of stress (mean difference 1.98, 95 CI% -0.87 to 4.83, 1 RCT, n = 77, low level evidence). No other studies reported adverse events.Two studies reported clinical pregnancy. There was no evidence of a difference in clinical pregnancy rates (RR 1.10, 95% CI 0.57 to 2.12, 2 RCTs, n = 177, I(2) = 0%, low level evidence). This suggested that if the chance of a clinical pregnancy following intercourse without ovulation prediction is assumed to be 16%, the chance of success following timed intercourse would be between 9% and 33%.Four studies reported pregnancy rate (clinical or self-reported pregnancy). Timed intercourse was associated with higher pregnancy rates compared to intercourse without ovulation prediction in couples trying to conceive (RR 1.35, 95% CI 1.06 to 1.71, 4 RCTs, n = 1387, I(2) = 0%, very low level evidence). This suggests that if the chance of a pregnancy following intercourse without ovulation prediction is assumed to be 13%, the chance following timed intercourse would be between 14% and 23%. Subgroup analysis by duration of subfertility showed no difference in effect between couples trying to conceive for < 12 months versus couples trying for ≥ 12 months. One trial reported time to conception data and showed no evidence of a difference in time to conception. AUTHORS' CONCLUSIONS: There are insufficient data available to draw conclusions on the effectiveness of timed intercourse for the outcomes of live birth, adverse events and clinical pregnancy. Timed intercourse may improve pregnancy rates (clinical or self-reported pregnancy, not yet confirmed by ultrasound) compared to intercourse without ovulation prediction. The quality of this evidence is low to very low and therefore findings should be regarded with caution. There is a high risk of publication bias, as one large study remains unpublished 8 years after recruitment finished. Further research is required, reporting clinically relevant outcomes (live birth, clinical pregnancy rates and adverse effects), to determine if timed intercourse is safe and effective in couples trying to conceive.

Ovulation monitoring and reproductive heterosex: living the conceptive imperative?

Using biosensors, or devices that provide biological information to users about their own bodies, to map ovulation and time intercourse is a practice of rising significance in economically privileged countries. Based on an ethnographic study of ovulation biosensing, this paper explores the contradictions between device manufacturers' figurations of reproductive heterosex as a natural and pleasurable experience facilitated by fertility monitoring technology, and heterosexual women users' accounts of the pleasures and difficulties of ovulation monitoring and associated sexual encounters. Drawing on Science and Technology Studies and the concept of 'script', we examine the frameworks of action defined by makers of ovulation biosensors and how these are accepted, refused or remade by users. Within the scientific romance configured by manufacturers, reproductive heterosex emerges as exciting and fun, whilst the hard, 'technical' work of conception is done by ovulation technologies. Yet ovulation monitoring is described by many heterosexual women users as an exciting and yet anxiety-producing practice through which they come to know their bodies differently, often through online discussions with other women. Living a 'conceptive imperative', women engaging with ovulation sensing reconfigure their reproductive embodiment and shift their relationship to male partners in ways that reveal heterosexual 'baby-making' as a complex and nuanced practice worthy of critical engagement.

Use of ovulation predictor kits as adjuncts when using fertility awareness methods (FAMs): a pilot study.

PURPOSE: Difficult clinical signs such as confusing cervical mucus or erratic basal body temperature can make the use of fertility awareness methods (FAMs) difficult in some cases. The goal of this study was to assess the feasibility of using a cheap urinary luteinizing hormone (LH)-surge identification kit as an adjunct to identify the infertile phase after ovulation when facing these scenarios. METHODS: The study used a block-allocation, crossover, 2-arm methodology (LH kit/FAM vs FAM only). Comparison of the 2 arms was done with regard to the accuracy of identification (yes/no) of the luteal phase in each cycle as confirmed by serum progesterone concentrations. RESULTS: We recruited 23 Canadian women currently using FAM, aged 18 to 48 years, who have had menstrual cycles 25 to 35 days long for the past 3 months and perceive themselves to have difficulty with identifying the infertile phase after ovulation. LH kits identified 100% of the luteal phases, whereas FAM indentified 87% (statistically significant). In those identified cycles, LH kits provided a mean of 10.3 days of infertility, and FAM only provided 10 days of infertility (not statistically significant). CONCLUSIONS: Among this population, LH kits may offer an adjunct for women who may wish to have an additional double-check. However, there are still clinical circumstances when even an LH kit does not provide confirmation. More research in this area is encouraged.

Characterization of salivary protein during ovulatory phase of menstrual cycle through MALDI-TOF/MS.

CONTEXT: Predicting ovulation is the basis on which the fertile period is determined. Nowadays there are many methods available to detect the ovulatory period. Unfortunately, these methods are not always effective for accurate detection of ovulation. Hence, an attempt was made to detect ovulation through single dimension sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) analysis of protein with the help of saliva ferning. AIMS: The aim of this study was to determine the association of protein level with endogenous reproductive hormone level across the menstrual cycle. SETTINGS AND DESIGN: Salivary protein and its confirmation were evaluated during menstrual cycle followed by SDS-PAGE and Mass spectrometry. STATISTICAL METHOD USED: The protein content present in saliva throughout menstrual cycle is trail by SPSS statistical software version. MATERIALS AND METHODS: Salivary proteins were investigated serially during pre-ovulatory, ovulatory and post-ovulatory periods of normal menstrual cycle in eighteen healthy volunteers. The samples were collected in three consecutive menstrual cycles. Salivary protein was estimated and analyzed by single dimension SDS-PAGE. RESULTS: The results revealed significant variations in protein concentrations during the menstrual cycle. Protein levels were maximum during ovulation and minimum during postovulatory phase. Further, single dimension SDS-PAGE analysis showed seven different fractions of proteins is from 14-90 kilo Dalton (kDa) in the three phases of the menstrual cycle. CONCLUSIONS: Among the proteins, 48 kDa protein was more predominantly exhibited during ovulatory phase than pre and post-ovulatory phase. The present study indicates that the protein level and the specific protein band (48 kDa) through MALDI-TOF MS analysis might serve as an indicator for ovulation.