Evaluation of a Web-Based Intervention for Patients with Gestational Trophoblastic Disease: A Randomized Controlled Trial.

OBJECTIVE: Gestational trophoblastic diseases (GTD) comprise a group of rare diseases originating from the trophoblast affecting women of childbearing age. Providing optimal information to patients with a rare disease is challenging because of the small number of patients and limited clinical expertise of many healthcare professionals. Both knowledge and lack of knowledge in patients may influence illness perception. We investigated whether a web-based interactive intervention influences illness perception and knowledge in women with GTD. DESIGN: This was a multicenter randomized control trial conducted at general and academic hospitals in the Netherlands, including newly diagnosed GTD patients between 2017 and 2019. METHODS: Sixty-nine patients were randomized between direct access or postponed access to an online tool on GTD and received online questionnaires about illness perception, knowledge, and anxiety. The main outcome measures were illness perception (primary outcome measure) and knowledge (secondary outcome measure). RESULTS: Patients using the online tool were satisfied with the information from the tool (92%). Although they had a higher level of knowledge compared to the control group (p = 0.006), illness perception did not change. Also, no differences in levels of anxiety, depression, or distress were observed between the groups. LIMITATIONS: Participants had access to other information sources and many searched other websites. It is unknown what kind of websites were visited and when. It is unknown if the increased knowledge levels and low levels of distress will sustain over time as no long term follow-up took place. Healthcare professionals were not interviewed on how they experienced the consultation before and after using the tool by the patients. CONCLUSIONS: The online tool did not change illness perception but was shown to be valuable for newly diagnosed GTD patients to gain knowledge. The improvement in knowledge after digital education indicates that this tool can be used as an effective method of supporting GTD patients' informational needs without causing extra distress. TWEETABLE ABSTRACT: A web-based tool for trophoblastic disease does not change illness perception of patients but is valuable to gain knowledge.

Early prediction of post-molar gestational trophoblastic neoplasia and resistance to methotrexate, based on a single serum human chorionic gonadotropin measurement.

BACKGROUND: Clinicians are unable to provide individualized counseling regarding risk of progression for patients with a complete hydatidiform mole (CHM). We developed nomograms enabling early prediction of post-molar gestational trophoblastic neoplasia (GTN) and resistance to methotrexate (MTX) based on a single serum human chorion gonadotropin (hCG) measurement. METHODS: We generated two nomograms with logistic regression: to predict post-molar GTN, and MTX resistance. For patients with high probability to progress to post-molar GTN or MTX resistance, we determined hCG cut-offs at 97.5% specificity to select patients for additional- or adjustments in current treatment. RESULTS: The nomograms had a good to excellent ability to distinguish either between patients with uneventful hCG regression versus progression to post molar GTN, or between patients cured by MTX versus patients in whom resistance would occur. At 97.5% specificity, we identified 66% (95%CI 56-75) of the 149 patients who would progress to post-molar GTN, four weeks after initial curettage. For patients treated with MTX, we identified 55% (95%CI 23-83) of the 43 patients who would become resistant, preceding their third course at 97.5% specificity. CONCLUSION: The nomograms and cut-off levels can be used to assist in counseling for patients diagnosed with CHM.

Immune cell composition in the endometrium of patients with a complete molar pregnancy: Effects on outcome.

OBJECTIVE: In 15% of patients with complete hydatidiform mole (CHM), disease progresses to post-molar gestational trophoblastic neoplasia (GTN) after curettage. Tumor infiltrating lymphocytes (TILs) are essential in overcoming disease in many tumors. Infiltrating lymphocyte composition and density may influence trophoblast regression and development of post-molar GTN. We analyzed immune cell composition and density in curettaged endometrium of patients with CHM which spontaneously regressed, and of patients with CHM which progressed to post-molar GTN. METHODS: Sixteen patients with CHM and spontaneous regression, and 16 patients with CHM which progressed to post-molar GTN were selected. Immune cell composition and density of natural killer (NK) cells, natural killer T (NKT)-like cells, Cytotoxic T cells, T-Regulatory and T-Helper cells, were determined by multiplex immunohistochemistry (mIHC). RESULTS: Curettaged endometrium of patients with CHM and spontaneous regression contained a slightly higher number of immune cells compared to patients with CHM which progressed to post-molar GTN. NKT-like cell density was significantly higher in patients with spontaneous regression compared to patients with CHM which progressed to post-molar GTN (483 ± 296 vs.295 ± 143 (mean ± SD), p = 0.03) respectively. NKT-like cell density in the spontaneous regression group was split in 'high' and 'low' (i.e. above and below the median number of NKT-like cells). In patients with high NKT-like cell density, hCG normalized earlier than in patients with low NKT-like cell density (9.5 weeks, (range 3.7-14) vs. 12.9 weeks, (range 8.6-17.9), p = 0.05). CONCLUSION: A high number of NKT-like cells in the endometrium of CHMs may contribute to spontaneous regression of molar trophoblast cells.

A tutorial on dynamic risk prediction of a binary outcome based on a longitudinal biomarker.

Dynamic risk predictions based on all available information are useful in timely identification of high-risk patients. However, in contrast with time to event outcomes, there is still a lack of studies that clearly demonstrate how to obtain and update predictions for a future binary outcome using a repeatedly measured biomarker. The aim of this study is to give an illustrative overview of four approaches to obtain such predictions: likelihood based two-stage method (2SMLE), likelihood based joint model (JMMLE), Bayesian two-stage method (2SB), and Bayesian joint model (JMB). We applied the approaches to provide weekly updated predictions of post-molar gestational trophoblastic neoplasia (GTN) based on age and repeated measurements of human chorionic gonadotropin (hCG). Discrimination and calibration measures were used to compare the accuracy of the weekly predictions. Internal validation of the models was conducted using bootstrapping. The four approaches resulted in the same predictive and discriminative performance in predicting GTN. A simulation study showed that the joint models outperform the two-stage methods when we increase the within- and the between-patients variability of the biomarker. The applicability of these models to produce dynamic predictions has been illustrated through a comprehensive explanation and accompanying syntax (R and SAS® ).

Characteristics, expectations and needs of the dutch endometriosis society members.

UNLABELLED: BACKGROUND/AIM STUDY QUESTION: Endometriosis is associated with a significant reduction in the quality of life and higher depression and anxiety rates. The Dutch Endometriosis Society (ES) was founded to increase the recognition and knowledge in patients and health care professionals, stimulate research and improve care. This study was conducted to explore the characteristics of the members and evaluate their needs and expectations. METHODS: A descriptive questionnaire-based survey was conducted among all members of the ES. The response rate was 51% (n = 571). RESULTS: ES members appear to be highly educated women with a wide variety of endometriosis-related symptoms resulting in considerable restrictions in daily life. Information transmission was considered the main aim of ES (97%), whereas 56% expected social support, and 38% expected advocacy. The majority (71%) reported an improvement in their quality of life after contact with the ES. CONCLUSION: The results of this study underline patients' primary quest for information about endometriosis. Patient support groups such as ES can fulfil a useful role in disseminating knowledge from medical professionals to those suffering a chronic illness, resulting in a greater understanding and ultimately increasing their quality of life.