Estimation of age-dependent decrease in blastocyst euploidy by next generation sequencing: development of a novel prediction model.


Journal

Panminerva medica
ISSN: 1827-1898
Titre abrégé: Panminerva Med
Pays: Italy
ID NLM: 0421110

Informations de publication

Date de publication:
Mar 2019
Historique:
pubmed: 3 7 2018
medline: 8 3 2019
entrez: 3 7 2018
Statut: ppublish

Résumé

We developed a model to estimate the female age-dependent decrease in blastocyst euploidy and the impact of blastocyst cohort size on the likelihood of having at least one euploid blastocyst for transfer. Retrospective analysis of 1296 trophectoderm biopsies by next-generation sequencing analysis from 436 infertile couples undergoing intracytoplasmic sperm injection and preimplantation genetic testing for aneuploidy. A logistic regression model was fit to the data. The dependent and independent variables were embryo genetic status and female age, respectively. The method of fitting was quadratic on age, and the model was validated with cross validation by a data splitting technique. The decrease in the probability of blastocyst euploidy follows an age-dependent binomial distribution, progressing with every year of female age, from 1.2% to 24.5% in 28-44 years-old women (P<0.0001). The minimum number of blastocysts needed to obtain at least one euploid blastocyst for transfer was computed for different probabilities and female ages. At the age of 28 years, a total of three blastocysts is required to obtain at least one euploid blastocyst with 90% probability, whereas it is 4, 5, 6, 9, 16 and 29 for ages 35, 37, 39, 41, 43, and 45, respectively. A novel prediction model estimates the probability of blastocyst euploidy and the number of blastocysts required to obtain at least one euploid embryo for transfer. This new resource based on f emale age and blastocyst cohort size will aid clinicians counsel and plan treatment of infertile couples undergoing IVF/ICSI.

Sections du résumé

BACKGROUND BACKGROUND
We developed a model to estimate the female age-dependent decrease in blastocyst euploidy and the impact of blastocyst cohort size on the likelihood of having at least one euploid blastocyst for transfer.
METHODS METHODS
Retrospective analysis of 1296 trophectoderm biopsies by next-generation sequencing analysis from 436 infertile couples undergoing intracytoplasmic sperm injection and preimplantation genetic testing for aneuploidy. A logistic regression model was fit to the data. The dependent and independent variables were embryo genetic status and female age, respectively. The method of fitting was quadratic on age, and the model was validated with cross validation by a data splitting technique.
RESULTS RESULTS
The decrease in the probability of blastocyst euploidy follows an age-dependent binomial distribution, progressing with every year of female age, from 1.2% to 24.5% in 28-44 years-old women (P<0.0001). The minimum number of blastocysts needed to obtain at least one euploid blastocyst for transfer was computed for different probabilities and female ages. At the age of 28 years, a total of three blastocysts is required to obtain at least one euploid blastocyst with 90% probability, whereas it is 4, 5, 6, 9, 16 and 29 for ages 35, 37, 39, 41, 43, and 45, respectively.
CONCLUSIONS CONCLUSIONS
A novel prediction model estimates the probability of blastocyst euploidy and the number of blastocysts required to obtain at least one euploid embryo for transfer. This new resource based on f emale age and blastocyst cohort size will aid clinicians counsel and plan treatment of infertile couples undergoing IVF/ICSI.

Identifiants

pubmed: 29962186
pii: S0031-0808.18.03507-3
doi: 10.23736/S0031-0808.18.03507-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3-10

Investigateurs

Sandro C Esteves (SC)
Peter Humaidan (P)
Carlo Alviggi (C)

Auteurs

Sandro C Esteves (SC)

Andrology and Human Reproduction Clinic, ANDROFERT, Campinas, Brazil - s.esteves@androfert.com.br.
Faculty of Health, Aarhus University, Aarhus, Denmark - s.esteves@androfert.com.br.

José F Carvalho (JF)

Statistika Consulting, Campinas, Brazil.

Ciro D Martinhago (CD)

Chromosome, Genomic Medicine Center, São Paulo, Brazil.

Augusto A Melo (AA)

Chromosome, Genomic Medicine Center, São Paulo, Brazil.

Fabiola C Bento (FC)

Andrology and Human Reproduction Clinic, ANDROFERT, Campinas, Brazil.

Peter Humaidan (P)

Faculty of Health, Aarhus University, Aarhus, Denmark.
Fertility Clinic Skive, Skive Regional Hospital, Skive, Denmark.

Carlo Alviggi (C)

Department of Neuroscience, Reproductive Science and Odontostomatology, University of Naples Federico II, Naples, Italy.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C

Classifications MeSH