The Effect of Virtual Reality on the Reduction of Pain in Women with an Indication for Outpatient Diagnostic Hysteroscopy: A Randomized Controlled Trial.

Background: The cognitive distraction caused by Virtual Reality (VR) seems to cause a decrease both in pain and its perception as in the time spent thinking about possible pain, among anxiety about hysteroscopy procedure. The main objective of this investigation was to evaluate the efficacy of virtual reality for pain relief during outpatient hysteroscopy. Method: A total of 83 patients underwent outpatient diagnostic hysteroscopy in a single-centre, open-label, randomized control trial. Overall, 180 women with medical indication for an outpatient diagnostic hysteroscopy were randomized. Ten were excluded due to the impossibility of entering the endometrial cavity caused by a cervical canal that was not permeable, and 15 did not tolerate the pain at the beginning and during the procedure, excluding themselves from the final model. Finally, 154 were analysed per protocol to use VR (n = 82, study group) or standard treatment (n = 72, control group) assessing the differences between both groups by reduction in pain using Visual Analogue Scale score (VAS: 0-10 cm) and clinical data (arterial pressure, heart rate, and oxygen saturation) at the end of hysteroscopy, at 15 and 30 min after hysteroscopy. Results: Women with VR outpatient diagnostic hysteroscopy experienced less pain at final (VAS score 2.451 vs. 3.972, standard mean difference (SMD) -1.521, 95% CI -2.601 to -0.440; p = 0.006), at 15 min (VAS 1.769 vs. 3.300, SMD -1.531, 95% CI -2.557 to -0.504; p = 0.004), and at 30 min (VAS 1.621 vs. 2.719, SMD -1.099, 95% CI -2.166 to -0.031; p = 0.044) after the ending of the hysteroscopy, compared with no VR. Conclusions: The use of VR during outpatient diagnostic hysteroscopy proved effective in the reduction of pain in this randomized control trial. It shows wide potential role in ambulatory gynaecologic procedures to avoid repeating tests, perform surgeries without anaesthesia, and the use of medication and its side effects.

Exploring clinical, echocardiographic and molecular biomarkers to predict bronchopulmonary dysplasia.

INTRODUCTION: Bronchopulmonary dysplasia (BPD) is the most common chronic lung disease in childhood, related to prematurity, and the most common cause of pulmonary hypertension (PH) secondary to pulmonary disease in children. Moderate and severe BPD have a worse outcome and relate more frequently with PH. The prediction of moderate or severe BPD development in extremely premature newborns is vital to implement preventive strategies. Starting with the hypothesis that molecular biomarkers were better than clinical and echocardiographic factors, this study aims to explore the ability of clinical, echocardiographic and analytical variables to predict moderate or severe BPD in a cohort of extremely preterm infants. PATIENTS AND METHODS: We designed a prospective longitudinal study, in which we followed a cohort of preterm newborns (gestational age <28 weeks and weight ≤ 1250 grams). In these newborns we recorded weekly clinical and echocardiographic variables as well as blood and tracheal aspirate samples, to analyze molecular biomarkers (IL-6, IL-1, IP10, uric acid, HGF, endothelin-1, VEGF, CCL5). Variables and samples were collected since birth up to week 36 (postmenstrual age), time-point at which the diagnosis of BPD is established. RESULTS: We included 50 patients with a median gestational age of 26 weeks (IQR 25-27) and weight of 871 g (SD 161,0) (range 590-1200g). Three patients were excluded due to an early death. Thirty-five patients (74.5%) developed BPD (mild n = 14, moderate n = 15, severe n = 6). We performed a logistic regression in order to identify risk factors for moderate or severe BPD. We compared two predictive models, one with two variables (mechanical ventilation and inter-ventricular septum flattening), and another-one with an additional molecular biomarker (ET-1). CONCLUSIONS: The combination of clinical and echocardiographic variables is a valuable tool for determining the risk of BPD. We find the two variable model (mechanical ventilation and echocardiographic signs of PH) more practical for clinical and research purposes. Future research on BPD prediction should be oriented to explore the potential role of ET-1.

Relationship between the FRAX index and physical and cognitive functioning in older people.

OBJECTIVE: To assess the relationship between the FRAX index and the Barthel index/MiniMental State Examination in older people. PATIENTS AND METHODS: Observational descriptive study. Demographic data, comorbidity, dependency and cognitive state, and risk of osteoporotic fracture were collected. RESULTS: A total of 375 patients were included (60% female) Patients with a low-risk FRAX for hip fractures had a higher Mini-mental (25, 95% CI = 24-27 vs. 22, 95% = 21 to 23, p = .0001), a higher Barthel index (88, 95% CI = 84-93 vs 72, 69 to 76, p = .0001) without differences in the Charlson index. Bivariate analysis showed an inverse association between FRAX and scales but logistic regression showed only female sex (OR 4.4, 95% CI = 2.6-7.6) and the non-dependent Barthel index (OR = 0.104, 95% CI = 0.014-0.792) remained significant and. Barthel index/Mini-mental constructed a significant model capable of predicting a risk of hip fracture of >3% measured by the FRAX index, with an area under the curve of 0.76 (95% CI = 0.7-0.81). CONCLUSIONS: The FRAX index is related to other markers of geriatric assessment and the association between these variables can predict a risk of hip fracture of >3% measured by the FRAX index. Key messages Geriatric assessment indexes may be as important as the FRAX index, which is based on clinical risk factors, in predicting the fracture risk in older patient.