Women's experiences of receiving a diagnosis of premenstrual dysphoric disorder: a qualitative investigation.

BACKGROUND: Premenstrual dysphoric disorder (PMDD) is a complex and disabling condition that affects women of reproductive age, characterised by severe physical and psychological symptoms that occur cyclically and remit following the onset of menses. As the psychological nature and consequences of PMDD often seem indistinguishable from symptoms of other mental health difficulties, this condition presents distinct diagnostic challenges for healthcare professionals. Therefore, this study aimed to explore women's experiences of both having PMDD and of receiving this diagnosis. METHODS: Participant recruitment took place in the United Kingdom during 2018. Seventeen women who had been diagnosed with PMDD by a medical specialist and met the clinical criteria for PMDD on the premenstrual symptoms screening tool were interviewed. The data from these semi-structured interviews were audio-recorded, transcribed and inductively analysed using reflexive thematic analysis. RESULTS: Twelve subthemes were identified and organised around four main themes: (1) A broken woman, (2) Misdiagnosis and the lost decades, (3) A life transformed and (4) Negotiating the aftermath. CONCLUSIONS: The findings of this study highlight the critical importance of the accurate and timely detection of PMDD, with the aim of preventing women from experiencing severe and prolonged psychological distress. In order to achieve this, there needs to be a greater understanding and awareness of PMDD within both the medical and lay communities, alongside training for healthcare practitioners in PMDD assessment.

Premenstrual syndrome.

Most women of reproductive age have some physical discomfort or dysphoria in the weeks before menstruation. Symptoms are often mild, but can be severe enough to substantially affect daily activities. About 5-8% of women thus suffer from severe premenstrual syndrome (PMS); most of these women also meet criteria for premenstrual dysphoric disorder (PMDD). Mood and behavioural symptoms, including irritability, tension, depressed mood, tearfulness, and mood swings, are the most distressing, but somatic complaints, such as breast tenderness and bloating, can also be problematic. We outline theories for the underlying causes of severe PMS, and describe two main methods of treating it: one targeting the hypothalamus-pituitary-ovary axis, and the other targeting brain serotonergic synapses. Fluctuations in gonadal hormone levels trigger the symptoms, and thus interventions that abolish ovarian cyclicity, including long-acting analogues of gonadotropin-releasing hormone (GnRH) or oestradiol (administered as patches or implants), effectively reduce the symptoms, as can some oral contraceptives. The effectiveness of serotonin reuptake inhibitors, taken throughout the cycle or during luteal phases only, is also well established.

Serotonin receptor 1A C(-1019)G polymorphism associated with premenstrual dysphoric disorder.

OBJECTIVE: To assess whether the G allele of the serotonin receptor 1A C(-1019)G polymorphism is associated with premenstrual dysphoric disorder. METHODS: The study sample comprised 53 women with clinically diagnosed premenstrual dysphoric disorder (age range 27-46 years, mean 37.7 years) and 51 healthy control subjects (age range 22-48 years, mean 36.2 years). The serotonin receptor 1A C(-1019)G polymorphism was genotyped and compared between the two groups. RESULTS: In contrast to the postulated "high-risk" G/G genotype, there was a marked overrepresentation of the C/C genotype in the premenstrual dysphoric disorder group (P=.034; odds ratio 3.63, 95% confidence interval 1.22-10.78). The presence of at least one C allele was associated with a 2.5-fold increased risk of premenstrual dysphoric disorder (P=.053; odds ratio 2.46, 95% confidence interval 1.03-5.88). CONCLUSION: Our hypothesis that the high-risk G allele is associated with the occurrence of premenstrual dysphoria was not proved in this study. However, due to the increased prevalence of the C variant, we suggest that the C(-1019) allele may contribute to the risk of premenstrual dysphoria. LEVEL OF EVIDENCE: II.

Are there differential symptom profiles that improve in response to different pharmacological treatments of premenstrual syndrome/premenstrual dysphoric disorder?

Current evidence suggests that the accepted treatments for premenstrual syndrome (PMS)/premenstrual dysphoric disorder (PMDD) have similar overall efficacy. While these treatments are more effective than placebo, response rates associated with them are far from satisfactory (<60%), such that, irrespective of treatment modality, there remain a significant number of women who are unresponsive to current conventional pharmacological therapy. The available data on response rates of specific types of premenstrual symptoms to, or symptom profiles that are most amenable to, each treatment modality are limited and not well defined because most studies were not designed to assess specific symptom profiles. Those studies that have attempted to evaluate which symptom profiles respond to specific therapies have revealed variations within the individual modalities, as well as between the different modalities. It appears that suppression of ovulation ameliorates a broad range of behavioural as well as physical premenstrual symptoms. SSRIs are most effective for irritability and anxiety symptoms, with lesser efficacy for 'atypical' premenstrual symptoms. GABAergic compounds are most efficacious for anxiety and anxious/depressive symptoms, while dopamine agonists, particularly bromocriptine, are perhaps most efficacious for mastalgia. Overall treatment response rates may improve if treatments are targeted at well-defined subgroups of patients. Re-analysis of available datasets from randomised clinical trials may shed more light on the notion that targeting women with specific premenstrual symptom profiles for specific treatment modalities would improve response rates beyond the current ceiling of approximately 60%. Such information would also improve understanding of the putative pathophysiological mechanisms underlying PMS and PMDD, and may point to a more specific diagnosis of these conditions.

The effectiveness of GnRHa with and without 'add-back' therapy in treating premenstrual syndrome: a meta analysis.

OBJECTIVE: To determine the effectiveness of gonadotrophin-releasing hormone analogues (GnRHa) with and without hormonal add-back therapy in the management of premenstrual syndrome. DESIGN: Randomised controlled trials were identified by searching multiple databases. SETTING: Exeter and North Devon Research and Development Support Unit and Keele University Academic Unit of Obstetrics and Gynaecology. POPULATION: Women with pre-diagnosed premenstrual syndrome and/or premenstrual dysphoric disorder. METHODS: A meta-analysis of published randomised placebo-controlled trials assessing the use of GnRHa in the management of premenstrual syndrome. The standardised mean difference for each individual study and subsequently an overall standardised mean difference were calculated after demonstrating the consistency or homogeneity of the study results. MAIN OUTCOME MEASURES: Overall improvement in premenstrual symptomatology and effectiveness of GnRHa with additional hormonal add-back therapy were the main outcome measures assessed in this analysis. A secondary analysis was performed to assess the effectiveness of GnRHa in treating physical and emotional symptoms. RESULTS: Overall standardised mean difference for all trials that assessed the efficacy of GnRHa was -1.19 (95% confidence interval [CI] -1.88 to -0.51). The equivalent odds ratio was 8.66 (95% CI 2.52 to 30.26) in favour of GnRHa. GnRHa were more efficacious for physical than behavioural symptoms, although the difference was not statistically significant. The addition of hormonal add-back therapy to GnRHa did not appear to reduce the efficacy of GnRHa alone; standardised mean difference 0.12 (95% CI -0.35 to 0.58). CONCLUSIONS: GnRHa appear to be an effective treatment in the management of premenstrual syndrome. The addition of hormonal add-back therapy to reduce side effects does not reduce efficacy.

Menstrual symptometrics: a simple computer-aided method to quantify menstrual cycle disorders.

OBJECTIVE: To validate a menstrual symptometrics device that can quantify menstrual blood loss, dysmenorrhea, and the premenstrual syndrome against traditional methods of collecting data on symptoms. DESIGN: Validation study. SETTING: Academic research clinic for menstrual cycle disorders. PARTICIPANT(S): Women 18-50 years of age who presented with menstrual cycle disorders. Controls were recruited from lists of patients requesting sterilization and from hospital staff. INTERVENTION(S): Participants were asked to complete the menstrual symptometrics device and to record pain, blood loss, and premenstrual symptoms by using traditional methods (paper-based scales and the alkaline hematin method) for two cycles. MAIN OUTCOME MEASURE(S): Agreement between traditional methods of quantifying menstrual cycle disorders and data obtained from the menstrual symptometrics device, and acceptability of the latter technique to patients. RESULT(S): A high level of agreement was observed between the traditional methods and the menstrual symptometrics device in quantifying and diagnosing menorrhagia, dysmenorrhea, and the premenstrual syndrome. Most patients preferred the menstrual symptometrics device as a data collection tool. CONCLUSION(S): The menstrual symptometrics device is a rapid and accurate method of quantifying blood loss, pain, and premenstrual symptoms. It has a high level of patient acceptability and can provide instant pictorial feedback on symptoms for patients and clinicians.