Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where K. Jayaprakasan is active.

Publication


Featured researches published by K. Jayaprakasan.


Human Reproduction Update | 2011

The prevalence of congenital uterine anomalies in unselected and high-risk populations: a systematic review

Y.Y. Chan; K. Jayaprakasan; Javier Zamora; Jim Thornton; Nick Raine-Fenning; Arri Coomarasamy

BACKGROUND The prevalence of congenital uterine anomalies in high-risk women is unclear, as several different diagnostic approaches have been applied to different groups of patients. This review aims to evaluate the prevalence of such anomalies in unselected populations and in women with infertility, including those undergoing IVF treatment, women with a history of miscarriage, women with infertility and recurrent miscarriage combined, and women with a history of preterm delivery. METHODS Searches of MEDLINE, EMBASE, Web of Science and the Cochrane register were performed. Study selection and data extraction were conducted independently by two reviewers. Studies were grouped into those that used ‘optimal’ and ‘suboptimal’ tests for uterine anomalies. Meta-analyses were performed to establish the prevalence of uterine anomalies and their subtypes within the various populations. RESULTS We identified 94 observational studies comprising 89 861 women. The prevalence of uterine anomalies diagnosed by optimal tests was 5.5% [95% confidence interval (CI), 3.5–8.5] in the unselected population, 8.0% (95% CI, 5.3–12) in infertile women, 13.3% (95% CI, 8.9–20.0) in those with a history of miscarriage and 24.5% (95% CI, 18.3–32.8) in those with miscarriage and infertility. Arcuate uterus is most common in the unselected population (3.9%; 95% CI, 2.1–7.1), and its prevalence is not increased in high-risk groups. In contrast, septate uterus is the most common anomaly in high-risk populations. CONCLUSIONS Women with a history of miscarriage or miscarriage and infertility have higher prevalence of congenital uterine anomalies compared with the unselected population.


Fertility and Sterility | 2010

A prospective, comparative analysis of anti-Müllerian hormone, inhibin-B, and three-dimensional ultrasound determinants of ovarian reserve in the prediction of poor response to controlled ovarian stimulation

K. Jayaprakasan; B. K. Campbell; James Hopkisson; Ian T. Johnson; Nick Raine-Fenning

OBJECTIVE To compare three-dimensional ultrasound parameters, antral follicle count (AFC), ovarian volume, and ovarian vascularity indices with anti-Müllerian hormone (AMH) and other conventional endocrine markers for the prediction of poor response to controlled ovarian hyperstimulation (COH) during assisted reproduction treatment (ART). DESIGN Prospective study. SETTING University-based assisted conception unit. PATIENT(S) One hundred thirty-five women undergoing the first cycle of ART. INTERVENTION(S) Transvaginal three-dimensional ultrasound assessment and venipuncture in the early follicular phase of the menstrual cycle immediately before ART. MAIN OUTCOME MEASURE(S) Poor ovarian response and nonconception. RESULT(S) Antral follicle count (Exp(B): 0.65) and AMH (Exp(B): 0.13) were the most significant predictors of poor ovarian response on multiple regression analysis and their predictive accuracy was similar, with an area under the curve (AUC) of 0.935 and 0.905, respectively. The AFC and AMH, as a combined test, did not significantly improve the level of prediction (AUC = 0.946). The sensitivity and specificity for prediction of poor ovarian response were 93% and 88% for AFC and 100% and 73% for AMH at an optimum cutoff values of < or =10 and < or =0.99 ng/mL, respectively. Age (Exp(B): 1.191) was the only significant predictor of nonconception, although its predictive accuracy was also low (AUC = 0.674). CONCLUSION(S) The AFC and AMH are the most significant predictors of poor response to ovarian stimulation during ART. The AMH and AFC, either alone or in combination, demonstrate a similar predictive power but are not predictive of nonconception, which is dependent on the womans age.


Human Reproduction Update | 2013

Added value of ovarian reserve testing on patient characteristics in the prediction of ovarian response and ongoing pregnancy: an individual patient data approach

Simone L. Broer; J. van Disseldorp; K.A. Broeze; Madeleine Dólleman; B.C. Opmeer; P. Bossuyt; Marinus J.C. Eijkemans; B.W. Mol; Frank J. Broekmans; Richard A. Anderson; M. Ashrafi; L.F.J.M.M. Bancsi; Ettore Caroppo; A.B. Copperman; T. Ebner; M. Eldar Geva; M. Erdem; E.M. Greenblatt; K. Jayaprakasan; R. Fenning; E. R. Klinkert; Janet Kwee; C.B. Lambalk; A. La Marca; M. McIlveen; L.T. Merce; Shanthi Muttukrishna; Scott M. Nelson; H.Y. Ng; B. Popovic-Todorovic

BACKGROUND Although ovarian reserve tests (ORTs) are frequently used prior to IVF treatment for outcome prediction, their added predictive value is unclear. We assessed the added value of ORTs to patient characteristics in the prediction of IVF outcome. METHODS An individual patient data (IPD) meta-analysis from published studies was performed. Studies on FSH, anti-Müllerian hormone (AMH) or antral follicle count (AFC) in women undergoing IVF were identified and authors were contacted. Using random intercept logistic regression models, we estimated the added predictive value of ORTs for poor response and ongoing pregnancy after IVF, relative to patient characteristics. RESULTS We were able to collect 28 study databases, comprising 5705 women undergoing IVF. The area under the receiver-operating characteristic curve (AUC) for female age in predicting poor response was 0.61. AFC and AMH each significantly improved the model fit (P-value <0.001). Moreover, almost a similar accuracy was reached using AMH or AFC alone (AUC 0.78 and 0.76, respectively). Combining the two tests, however, did not improve prediction (AUC 0.80, P = 0.19) of poor response. In predicting ongoing pregnancy after IVF, age was the best single predictor (AUC 0.57), and none of the ORTs added any value. CONCLUSIONS This IPD meta-analysis demonstrates that AFC and AMH clearly add to age in predicting poor response. As single tests, AFC and AMH both fully cover the prediction of poor ovarian response. In contrast, none of the ORTs add any information to the limited capacity of female age to predict ongoing pregnancy after IVF. The clinical usefulness of ORTs prior to IVF will be limited to the prediction of ovarian response.


Ultrasound in Obstetrics & Gynecology | 2011

Reproductive outcomes in women with congenital uterine anomalies: a systematic review

Y.Y. Chan; K. Jayaprakasan; A. Tan; Jim Thornton; Arri Coomarasamy; Nick Raine-Fenning

Congenital uterine anomalies are common but their effect on reproductive outcome is unclear. We conducted a systematic review to evaluate the association between different types of congenital uterine anomaly and various reproductive outcomes.


Fertility and Sterility | 2011

Age-related normograms of serum antimüllerian hormone levels in a population of infertile women: a multicenter study

Benny Almog; Fady Shehata; Sami Suissa; Hananel Holzer; Einat Shalom-Paz; Antonio La Marca; Shanthi Muttukrishna; Andrew S. Blazar; Richard J. Hackett; Scott M. Nelson; João Sabino Cunha-Filho; Talia Eldar-Geva; Ehud J. Margalioth; Nick Raine-Fenning; K. Jayaprakasan; Myvanwy McIlveen; Dorothea Wunder; Thomas Fréour; Luciano G. Nardo; Juan Balasch; Joana Peñarrubia; J.M.J. Smeenk; Christian Gnoth; Erhard Godehardt; Tsung-Hsien Lee; Maw-Sheng Lee; Ishai Levin; Togas Tulandi

OBJECTIVE To produce age-related normograms for serum antimüllerian hormone (AMH) level in infertile women without polycystic ovaries (non-PCO). DESIGN Retrospective cohort analysis. SETTING Fifteen academic reproductive centers. PATIENT(S) A total of 3,871 infertile women. INTERVENTION(S) Blood sampling for AMH level. MAIN OUTCOME MEASURE(S) Serum AMH levels and correlation between age and different percentiles of AMH. RESULT(S) Age-related normograms for the 3rd, 10th, 25th, 50th, 75th, 90th, and 97th percentiles of AMH were produced. We found that the curves of AMH by age for the 3rd to 50th percentiles fit the model and appearance of linear relation, whereas the curves of >75th percentiles fit cubic relation. There were significant differences in AMH and FSH levels and in antral follicle count (AFC) among women aged 24-33 years, 34-38 years, and ≥39 years. Multivariate stepwise linear regression analysis of FSH, age, AFC, and the type of AMH kit as predictors of AMH level shows that all variables are independently associated with AMH level, in the following order: AFC, FSH, type of AMH kit, and age. CONCLUSION(S) Age-related normograms in non-PCO infertile women for the 3rd to 97th percentiles were produced. These normograms could provide a reference guide for the clinician to consult women with infertility. However, future validation with longitudinal data is still needed.


Ultrasound in Obstetrics & Gynecology | 2008

SonoAVC: a novel method of automatic volume calculation.

Nick Raine-Fenning; K. Jayaprakasan; J. Clewes; I. Joergner; S. Dehghani Bonaki; Sarah Chamberlain; L. Devlin; Helen Priddle; Ian T. Johnson

To assess the ability of the new software SonoAVC to measure follicular volume and to compare these volume calculations with those made by conventional methods.


Fertility and Sterility | 2010

The cohort of antral follicles measuring 2–6 mm reflects the quantitative status of ovarian reserve as assessed by serum levels of anti-Müllerian hormone and response to controlled ovarian stimulation

K. Jayaprakasan; Shilpa Deb; M. Batcha; James Hopkisson; Ian T. Johnson; B. K. Campbell; Nick Raine-Fenning

OBJECTIVE To evaluate the relationship between serum anti-Müllerian hormone (AMH) and antral follicle size, and to ascertain which cohort of antral follicles is most predictive of the response to controlled ovarian stimulation during assisted reproduction treatment (ART). DESIGN Prospective study. SETTING University-based Assisted Conception Unit. PATIENT(S) One hundred thirteen women undergoing first cycle of ART. INTERVENTION(S) Transvaginal 3D-ultrasound assessment and venipuncture in the early-follicular phase of the menstrual cycle. MAIN OUTCOME MEASURE(S) Serum AMH levels, number of mature oocytes retrieved and poor ovarian response. RESULT(S) The antral follicle cohorts measuring 2 to 3 mm, >3 to 4 mm, >4 to 5 mm, and >5 to 6 mm were most significantly correlated with AMH (r = .30, .27, .30, and .41, respectively) and the number of mature oocytes retrieved (r = .28, .23, .29, and .34, respectively). Although these follicle cohorts of 2-6 mm were significant predictors of the number of mature oocytes retrieved on regression analysis, their discriminative ability (area under the curve [AUC]: 0.829) for the prediction of poor ovarian response was similar to total counts made using cohorts of 2 to 4 mm, 2 to 5 mm, 2 to 8 mm, and 2 to 10 mm (AUCs: 0.794, 0.812, 0.852, and 0.826, respectively). CONCLUSION(S) The number of antral follicles measuring 2 to 6 mm is most reflective of the quantitative ovarian reserve. However, the ability of this group of antral follicles to predict poor ovarian response appears similar to that of the follicular cohorts of 2 to 4 mm, 2 to 5 mm, 2 to 8 mm, and 2 to 10 mm.


Ultrasound in Obstetrics & Gynecology | 2007

The interobserver reliability of off‐line antral follicle counts made from stored three‐dimensional ultrasound data: a comparative study of different measurement techniques

K. Jayaprakasan; Kate F. Walker; J. Clewes; Ian R. Johnson; Nick Raine-Fenning

To assess the interobserver reliability of antral follicle counts (AFCs) made from stored three‐dimensional (3D) ultrasound data using conventional two‐dimensional (2D) images, 3D multiplanar view and 3D‐rendered ‘inversion mode’.


Reproductive Biology and Endocrinology | 2013

Efficacy of dehydroepiandrosterone to improve ovarian response in women with diminished ovarian reserve: a meta-analysis

Amarin Narkwichean; Walid E. Maalouf; B. K. Campbell; K. Jayaprakasan

Women with diminished ovarian reserve often respond poorly to controlled ovarian stimulation resulting in retrieval of fewer oocytes and reduced pregnancy rates. It has been proposed that pre-IVF Dehydroepiandrosterone (DHEA) adjuvant therapy may improve ovarian response and pregnancy rates in women with diminished ovarian reserve. This meta-analysis aims to investigate efficacy of DHEA as an adjuvant to improve ovarian response and IVF outcome in women with diminished ovarian reserve. Electronic databases were searched under the following terms: (DHEA) and (diminished ovarian reserve) and/or (poor response). Studies were included if they reported at least one of the following outcomes; clinical pregnancy rate, number of oocytes retrieved, miscarriage rate. We identified 22 publications determining effects of DHEA in clinical trials. Only 3 controlled studies were eligible for meta-analysis. There was no significant difference in the clinical pregnancy rate and miscarriage rates between women pre-treated with DHEA compared to those without DHEA pre-treatment (RR 1.87, 95% CI 0.96-3.64; and RR 0.59, 95% CI 0.21-1.65, respectively). The number of oocytes retrieved (WMD -1.88, 95% CI -2.08, 1.67; P < 0.001) was significantly lower in the DHEA group. In conclusion, based on the limited available evidence from a total of approximately 200 IVF cycles, there are insufficient data to support a beneficial role of DHEA as an adjuvant to controlled ovarian stimulation in IVF cycle. Well-designed, randomised controlled trials as well as more exact knowledge about DHEA mechanisms of action are needed to support use of DHEA in standard practice for poor-responders.


Ultrasound in Obstetrics & Gynecology | 2008

Three‐dimensional ultrasound improves the interobserver reliability of antral follicle counts and facilitates increased clinical work flow

K. Jayaprakasan; B. K. Campbell; J. Clewes; Ian R. Johnson; Nick Raine-Fenning

To compare the interobserver reliability of antral follicle counts made using real‐time two‐dimensional (2D) ultrasound with offline counts made from stored three‐dimensional (3D) data and to assess the time required for such counts.

Collaboration


Dive into the K. Jayaprakasan's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

J. Clewes

University of Nottingham

View shared research outputs
Top Co-Authors

Avatar

B. K. Campbell

University of Nottingham

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Shilpa Deb

University of Nottingham

View shared research outputs
Top Co-Authors

Avatar

Ian R. Johnson

University of Nottingham

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

S. Sur

University of Nottingham

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jim Thornton

University of Nottingham

View shared research outputs
Researchain Logo
Decentralizing Knowledge