| Literature DB >> 34759776 |
Evangelia Antoniou1, Eirini Orovou1, Maria Iliadou1, Angeliki Sarella1, Ermioni Palaska1, Nikolaos Rigas1, Georgios Iatrakis1, Maria Dagla1.
Abstract
BACKGROUND: So far, multiple factors have been found to be related to the IVF procedure, the most prevalent being extremes of maternal age, infections, previous gynecological history, infertility and others. Although women achieve the coveted pregnancy with the development of IVF technology, the rapid increase contributes to the increase of primary cesarean sections rates.Entities:
Keywords: IVF conception; c-section; elective cesarean section; emergency cesarean section; in vitro fertilization; natural conception
Year: 2021 PMID: 34759776 PMCID: PMC8565429 DOI: 10.5455/msm.2021.33.188-194
Source DB: PubMed Journal: Mater Sociomed ISSN: 1512-7680
Figure 1.The proportion of previous and primaries c-sections in the total number of births by cesarean delivery
Figure 2.The proportion of natural conception and IVF in the total number of births by primary c-section
Mann-Whitney test for the evaluation of the relationship between kind of conception and age.
| Kind of conception |
|
|
| |||
|---|---|---|---|---|---|---|
| Age |
| 135 | 31.80 | 75.71 | 1041 | <0.001 |
|
| 27 | 36.22 | 110.44 |
Relation between the kind of conceptions and the socio-demographic pregnancy and delivery characteristics
| The Kind of Conception | |||||
|---|---|---|---|---|---|
| Natural (N=135) N (%) | IVF (N=27) N (%) | x2 value | |||
| Family status |
| 1 (0.7%) | 0 (0%) | 5.648 | 0.324 |
|
| 7 (5.2%) | 2 (7.4%) | |||
|
| 126 (93.3%) | 24 (88.9%) | |||
|
| 0 (0%) | 1 (3.7%) | |||
|
| 1 (0.7%) | 0 (0%) | |||
| Educational level |
| 6 (4.4%) | 1 (3.7%) | 3.154 | 0.563 |
|
| 6 (4.4%) | 3 (11.1%) | |||
|
| 57 (42.2%) | 12 (44.4%) | |||
|
| 55 (40.7%) | 8 (29.6%) | |||
|
| 10 (7.4%) | 3 (11.1%) | |||
|
| 1 (0.7%) | 0 (0%) | |||
| Occupation |
| 44 (32.6%) | 13 (48.1%) | 4.942 | 0.423 |
|
| 26 (19.3%) | 5 (18.5%) | |||
|
| 10 (7.4%) | 1 (3.7%) | |||
|
| 13 (9.6%) | 1 (3.7%) | |||
|
| 24 (17.8%) | 6 (22.2%) | |||
|
| 18 (13.3%) | 1 (3.7%) | |||
| Financial status |
| 27 (20%) | 4 (14.8%) | 1.307 | 0.809 |
|
| 104 (77%) | 23 (85.2%) | |||
|
| 4 (3%) | 0 (0%) | |||
| Nationality |
| 123 (91.1%) | 25 (92.6%) | 0.063 | 0.802 |
|
| 12 (8.9%) | 2 (7.4%) | |||
| Minority |
| 131 (97%) | 26 (96.3%) | 0.041 | 0.842 |
|
| 4 (3%) | 1 (3.7%) | |||
| Pathological health history |
| 87 (64.4%) | 8 (29.6%) | 11.245 | 0.001 |
|
| 48 (35.6%) | 19 (70.4%) | |||
| Complications during pregnancy |
| 86 (63.7%) | 15 (55.6%) | 8.970 | 0.120 |
|
| 8 (5.9%) | 1 (3.7%) | |||
|
| 20 (14.8%) | 7 (25.9%) | |||
|
| 4 (3%) | 1 (3.7%) | |||
|
| 16 (11.9%) | 1 (3.7%) | |||
|
| 1 (0.7%) | 2 (7.4%) | |||
| Duration of pregnancy (the gestation weeks) |
| 119 (88.1%) | 15 (55.6%) | 16.754 | 0.001 |
|
| 13 (9.6%) | 10 (37%) | |||
|
| 3 (2.2%) | 2 (7.4%) | |||
| Type of c-section |
| 90 (66.7%) | 9 (33.3%) | 10.519 | 0.001 |
|
| 45 (33.3%) | 18 (66.7%) | |||
| Causes of c-section |
| 0 (0%) | 12 (44.4%) | 124.223 | <0.001 |
|
| 3 (2.2%) | 1 (3.7%) | |||
|
| 0 (0%) | 9 (33.3%) | |||
|
| 38 (28.1%) | 1 (3.7%) | |||
|
| 8 (5.9%) | 0 (0%) | |||
|
| 26 (19.3%) | 1 (3.7%) | |||
|
| 27 (20%) | 0 (0%) | |||
|
| 12 (8.9%) | 0 (0%) | |||
|
| 12 (8.9%) | 1 (3.7%) | |||
|
| 9 (6.7%) | 2 (7.4%) | |||
| Complications after c-section |
| 124 (91.9%) | 23 (85.2%) | 1.190 | 0.275 |
|
| 11 (8.1%) | 4 (14.8%) | |||
| Admission in NICU |
| 108 (80%) | 18 (66.7%) | 19.562 | 0.001 |
|
| 21 (15.6%) | 1 (3.7%) | |||
|
| 2 (1.5%) | 2 (7.4%) | |||
|
| 4 (3%) | 6 (22.2%) |
Fisher’s exact test; p<0.05.