Pre-hCG variables associated with occurrence of ascites in IVF/ICSI patients at moderate risk of developing OHSS: A pilot investigation

Abstract


Objective: To identify predictors of ascites collected prior to the hCG administration in patients undergoing IVF/ICSI treatment at moderate risk of developing moderate/severe ovarian hyperstimulation syndrome (OHSS), and, based on these predictors, develop a nomogram for estimation of the probability of presence of ascites. Methods and Materials: Data were derived from 53 patients with 20 - 30 follicles ≥10 mmat end of stimulation. All patients received a single dose of hCG (250 mg) to trigger final follicular maturation when ≥2 follicles of ≥18 mmwere observed. Transvaginal ultrasound to measure ascites (total amount of peritoneal fluid ≥9 cm2inlithotomy position) was performed 2, 5 and 8 days after the hCG administration. Associations between clinical, sonographic and endocrinological variables recorded prior to the hCG administration and presence of ascites were analyzed by univariable and multivariable logistic regression. Results: Thirty-four patients (64%) had ultrasonic evidence of ascites. The multivariable analysis identified the total number of follicles [OR 1.29 (95% CI: 1.02 - 1.69, P = 0.043)], the ovarian volume [OR 1.05 (95% CI: 1.00 - 1.11, P = 0.047)] and BMI [OR 0.76 (95% CI: 0.56 - 0.99, P = 0.053)] as predictors of ascites (AUC = 0.825). A nomogram (PROFET) was designed with these three variables for individual prediction of the probability of development of ascites. Conclusions: This pilot investigation indicates that the risk of peritoneal fluid accumulation in IVF/ICSI patients at moderate risk of developing moderate/severe OHSS is influenced by the number of follicles and the ovarian volume on the day of hCG administration as well as the BMI.


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Fernández-Sánchez, M. , Broberg, P. , Pettersson, G. , Busso, C. , Pellicer, A. and Arce, J. (2013) Pre-hCG variables associated with occurrence of ascites in IVF/ICSI patients at moderate risk of developing OHSS: A pilot investigation. Open Journal of Obstetrics and Gynecology, 3, 13-20. doi: 10.4236/ojog.2013.31004.

1. INTRODUCTION

The diagnosis of ovarian hyperstimulation syndrome (OHSS) is based on a spectrum of signs and symptoms, and different classification systems to grade the severity have been suggested; for review, see Golan and Weissman [1]. The earliest classification schemes were based on clinical presentation and laboratory findings [2,3]. During the 1980s, transvaginal ultrasonography (TVU) became available and a revised classification of OHSS was introduced that included ultrasound-based detection of accumulation of fluid in the peritoneal cavity (ascites) [4]. This classification scheme is still widely employed although modifications for the classification of the most severe forms have been proposed [1,5,6].

Effective prevention of OHSS is obviously better than current empirical treatment [7-9] and recognition of potential risk factors prior to start of ovarian stimulation is key to preventing the syndrome; for review, see Delvigne [10] and Papanikolaou et al. [11]. Primary risk factors suggested in the literature include polycystic ovarian syndrome, young age, low body weight, a high antral follicle count, a high serum concentration of anti-Müllerian hormone, use of gonadotropin releasing hormone (GnRH) analogues in a long protocol, higher doses of exogenous gonadotropins, and human chorionic gonadotropin (hCG) to trigger final follicular maturation [9,12-19].

Both in patients with and without any known predisposing factor of OHSS, a number of potential secondary risk factors occurring during ovarian stimulation have been suggested such as a high absolute and/or rapidly rising level of serum estradiol, a high number of preovulatory follicles and a high number of oocytes retrieved [12,13,20-22]. There is, however, a considerable overlap of the distribution of values for each ovarian response variable between patients who develop OHSS and those who demonstrate a normal response, and none of these variables are considered to be independently predictive of OHSS [10,11]. Efforts have therefore been made to improve the prognostic power by combining secondary risk factors. Several investigators have used serum estradiol levels together with follicle number and/or number of oocytes retrieved to predict the occurrence of OHSS, although with somewhat limited success [23-25].

Prevention or reduction of the incidence and severity of OHSS in patients who have progressed to high risk during the treatment cycle implies the possibility to delay or withhold the administration of hCG. Assessment of variables that can identify these patients before triggering of final follicular maturation may therefore help clinicians to undertake secondary preventive methods including coasting, reduction of the hCG dose or use of GnRH agonist for triggering of final follicular maturation, use of dopamine agonist, freezing of all embryos, or withholding of hCG and cycle cancellation [8,9,26-29].

The main objective of this pilot investigation was to develop a multivariable model for prediction of ultrasonic evidence of ascites in individual cases prior to the hCG administration using a cohort of patients undergoing controlled ovarian stimulation (COS) for assisted reproduction technologies (ART). All patients were presumed to be at moderate risk of developing moderate/ severe OHSS based on the presence of 20 - 30 preovulatory follicles. Ultrasonic evidence of ascites was chosen as the dependent variable in the logistic regression analyses, since it is a quantitative measure of moderate/ severe OHSS unlike more subjective variables such as abdominal discomfort, distension and pain.

2. METHODS AND MATERIALS

This is a retrospective investigation of 53 in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) patients who were included in the placebo arm of a double-blind, randomized controlled trial comparing quinagolide versus placebo in prevention of OHSS (ClinicalTrials.gov Identifier: NCT00329693) [30]. The trial was conducted in accordance with the Declaration of Helsinki and Good Clinical Practice. The protocol, the subject information sheet and the consent form were reviewed and approved by the independent ethics committees and the regulatory authorities prior to trial initiation. All participants gave written, signed, informed consent prior to entering the trial.

The patients were 21 - 37 years old, had a BMI of 18 - 29 kg/m2 and early follicular phase serum concentrations of FSH within normal limits (1 - 12 IU/l) as well as a uterus consistent with expected normal function and presence of both ovaries. They had been infertile for at least 1 year and were undergoing a COS cycle for IVF/ICSI at the time of the trial in which they presented with ovarian response suggestive of being at moderate risk of developing moderate/severe OHSS because of the presence of at least 20 follicles of 10 mm or greater on the day of hCG administration. Patients considered to be at high risk of developing OHSS, i.e. presenting with more than 30 follicles and/or serum estradiol of ≥6000 pg/ml at the time of hCG administration, were not included as clinical practice in the participating centers for these cases was either cycle cancellation or most likely of GnRH agonist administration to trigger final follicle maturation. Furthermore, patients were not included if coasting or other preventive measures for managing OHSS had been applied.

All patients received a single dose of hCG (Ovitrelle 250 mg s.c., Merck-Serono, Geneva, Switzerland) to trigger final follicular maturation when ≥2 follicles of ≥18 mm were observed. Prior to the administration of hCG, measurement of serum estradiol, physical and gynecological examination, body measurements (body weight, height and waist circumference), and TVU of ovaries (size of ovaries, number of follicles according to size) and uterus (endometrial thickness) were performed. Oocyte retrieval took place 36 ± 2 hours after the hCG administration and transfer of one or two embryos was done on day 3, 5 or 6 after the oocyte retrieval. Luteal support was provided with vaginal progesterone (Utrogestan, SEID Laboratories, Barcelona, Spain), 200 mg twice daily from the day after oocyte retrieval to negative βhCG test or to the day of clinical pregnancy assessment.

TVU was employed to measure the peritoneal fluid pockets in the pelvis on day 2 (just prior to the oocyte retrieval) as well as 5 and 8 days after the hCG administration. The size of each pocket was determined by measuring the greatest diameter and its greatest perpendicular diameter and multiplying these two numbers giving the unit cm2. In line with the definition used in a previous study in which the value of a dopamine agonist to prevent OHSS after COS was examined [26], the existence of ultrasonic evidence of ascites was confirmed when the total size of pockets of peritoneal fluid ≥ 9 cm2 was observed when the patient was in lithotomy position (i.e. with the gynecological table at 45˚ from the floor of the room). This cut-off was based on the mean + 2 standard deviations of the value (3.5 ± 2.8 cm2) found after oocyte retrieval in women who showed no risk of OHSS. Furthermore, significantly more placebo-treated women had peritoneal fluid ≥ 9 cm2 than patients treated with dopamine agonist in the study by Álvarez et al. [26].

These observations indicate that it is clinically relevant to use a cut-off of 9 cm2 in prognostic models of moderate/severe OHSS.

Data Analysis

All statistical analyses were performed in “R”, version 2.7.0 (R Development Core Team, 2008). The variables assessed prior to the hCG administration were included in a univariable logistic regression analysis as the first step to identify variables associated with ultrasonic evidence of ascites. Treatment differences are presented with odds ratios (OR) and two-sided 95% confidence interval (CI) and corresponding P values. The Higher Criticism test [31] was used to select variables that would qualify to be entered in the multivariable regression analysis. This method yielded a cut-off for the P values from the univariable logistic regression, such that variables with P values equal to or less than the threshold were included in the multivariable modeling. The multivariable logistic regression model emerged from a backward and forward stepwise procedure that sought to optimize model fit with respect to the Akaike information criterion. The predictive ability of the model was assessed by determining the area under the receive roperating characteristics (ROC) curve.

3. RESULTS

Of the 53 patients included in this investigation, 34 (64%) had ultrasonic evidence of ascites within 9 days after the hCG administration. Table 1 shows the baseline characteristics and variables recorded in the treatment cycle prior to the hCG administration in the subgroups of patients with and without ultrasonic evidence of ascites.

The univariable logistic regression analysis of the variables assessed prior to the hCG administration yielded a P value cut-off of 0.321 in the Higher Criticism test and the following variables were included in the multivariable logistic regression model search: 1) Demographics: body weight, BMI, waist circumference; 2) Infertility history: number of IVF cycles, number of ICSI cycles, total number of IVF/ICSI cycles; 3) Menstrual history: menstrual cycle length; 4) Obstetric history: method of conception: ICSI; and 5) Day of hCG: ovarian volume, total number of follicles, number of follicles ≥ 15 mm, number of follicles ≥ 10 mm, number of follicles < 10 mm, and serum estradiol. Female age was also added to the multivariable analysis, since this variable has been found to be associated with OHSS in other studies.

Using backward and forward stepwise selection, the best model for prediction of the probability of ultrasonic evidence of ascites was obtained using the variables total number of follicles [OR 1.29 (95% CI: 1.02 - 1.69), P = 0.043], ovarian volume [OR 1.05 (95% CI: 1.00 - 1.11), P = 0.047] and BMI [OR 0.76 (95% CI: 0.56 - 0.99), P = 0.053] (Table 2). The predictive ability of the model measured by the area under the ROC curve (AUC) was 0.825 (Figure 1). The AUC values of total number of follicles, ovarian volume and BMI obtained in the univariate logistic regression analysis for prediction of ascites were 0.673, 0.776 and 0.638, respectively, which showed that the power of prediction increased when the multivariate model that included all three variables was used.

Figure 2 illustrates the relationships between the total number of follicles, ovarian volume and BMI for patients with ultrasonic evidence of ascites and those with absence of ascites. As can be seen, the estimated probability of ultrasonic evidence of ascites is increased by a high number of follicles and a large ovarian volume on the day of hCG, as well as a low BMI. The multivariable logistic regression model was then used to design a nomogram (PROFET) for prediction of the likelihood of developing ascites following gonadotrophin stimulation and hCG triggering of final follicle maturation for a given IVF/ICSI patient (Figure 3). The PROFET nomogram includes three steps. By drawing vertical lines from the values related to each of the three variables to the scale at the top of the nomogram a number of points will be obtained for each variable. The total score is then summed up and the probability of ultrasonic evidence of ascites can subsequently be estimated by drawing a vertical line from the value on the “total score scale” to the “probability scale” at the bottom of the nomogram.

Conflicts of Interest

The authors declare no conflicts of interest.

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