Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Comparison of serum adiponectin and osteopontin levels along with metabolic risk factors between obese and lean women with and without PCOS

Introduction: The objective of this study was to investigate the possible relation between serum adiponectin and osteopontin levels as metabolic risk markers among women with different polycystic ovary syndrome (PCOS) phenotypes. Material and methods: In a University Hospital setting PCOS patients diagnosed according to Rotterdam Consensus Conference criteria with body mass index (BMI) between 18 and 35 were recruited. Results: Overall, 57 PCOS patients and 57 age- and BMI-matched healthy controls were included in the study. Luteinising hormone (LH) to follicle-stimulating hormone FSH ratio (LH/FSH), free androgen index (FAI), and dehydroepiandrosterone sulphate (DHEAS-S) was found to be significantly higher in women with PCOS. There was significant interaction between PCOS status and obesity for serum adiponectin levels. Although mean adiponectin and osteopontin levels were similar among cases and controls, a further two-way ANOVA comparison within lean and obese subgroups revealed adiponectin to be significantly lower in lean PCOS women than in lean controls. LH/FSH ratio and adiponectin levels were all found to differ between lean counterparts; however, they did not show any correlation with metabolic markers [cholesterol, homeostatic model assessment (HOMA) or C-reactive protein (CRP) levels] in overall lean women or in the lean PCOS subgroup. Conclusion: Serum adiponectin levels in lean PCOS women were significantly lower than those in lean controls. On the other hand, mean adiponectin and osteopontin levels were similar in PCOS cases and controls overall. © 2020 Via Medica. All rights reserved

In vivo evaluation of teicoplanin- and calcium sulfate-loaded PMMA bone cement in preventing implant-related osteomyelitis in rats

alper, murat/0000-0001-7069-0623WOS: 000243185500008PubMed: 17267341The objective of this study was to evaluate the efficacy of teicoplanin- and calcium sulphate-loaded polymethylmethacrylate (PMMA) bone cements in preventing experimental implant-related osteomyelitis in rats. Four groups of antibiotic-loaded rods were prepared and were implanted into the lateral condylus of the rat femur after inoculation of Staphylococcus aureus. The effectiveness of these were assessed microbiologically, radiographically, and histopathologically. Radiographic evaluation revealed a significant reduction of periostal reaction and osteolysis in rats that received calcium sulphate- and teicoplanin-loaded rods. Histopathological evaluation confirmed these results. Acute infection and bone necrosis were found to be significantly lower in rats that had received calcium sulphate- and teicoplanin-loaded rods. The addition of calcium sulfate to teicoplanin-loaded PMMA bone cement appeared satisfactory as an antibiotic-carrying system for prophylaxis of experimental implant-related osteomyelitis, but further investigations are needed to reach definitive statements for clinical applications

Challenges In Identifying Asthma Subgroups Using Unsupervised Statistical Learning Techniques

Rationale: Unsupervised statistical learning techniques, such as exploratory factor analysis (EFA) and hierarchical clustering (HC), have been used to identify asthma phenotypes, with partly consistent results. Some of the inconsistency is caused by the variable selection and demographic and clinical differences among study populations. Objectives: To investigate the effects of the choice of statistical method and different preparations of data on the clustering results; and to relate these to disease severity. Methods: Several variants of EFA and HC were applied and compared using various sets of variables and different encodings and transformations within a dataset of 383 children with asthma. Variables included lung function, inflammatory and allergy markers, family history, environmental exposures, and medications. Clusters and original variables were related to asthma severity (logistic regression and Bayesian network analysis). Measurements and Main Results: EFA identified five components (eigenvalues >= 1) explaining 35% of the overall variance. Variations of the HC (as linkage-distance functions) did not affect the cluster inference; however, using different variable encodings and transformations did. The derived clusters predicted asthma severity less than the original variables. Prognostic factors of severity were medication usage, current symptoms, lung function, paternal asthma, body mass index, and age of asthma onset. Bayesian networks indicated conditional dependence among variables. Conclusions: The use of different unsupervised statistical learning methods and different variable sets and encodings can lead to multiple and inconsistent subgroupings of asthma, not necessarily correlated with severity. The search for asthma phenotypes needs more careful selection of markers, consistent across different study populations, and more cautious interpretation of results from unsupervised learning.Wo

Different Patterns of Foods Triggering FPIES in Germany

BACKGROUND: Food protein-induced enterocolitis syndrome (FPIES) is a non-IgE-mediated gastrointestinal food allergy mainly affecting infants and young children. Allergic FPIES reactions differ from IgE-mediated food allergies, for example, regarding elicitors and clinical course. OBJECTIVE: The aim of our study was to describe causative agents and development of tolerance in German children with FPIES. METHODS: We conducted a retrospective survey on children with FPIES from 14 centers in Germany assessing a 6-year period. RESULTS: We analyzed 142 patients with 190 FPIES reactions, 130 of which met acute FPIES criteria and 60 were defined as chronic FPIES. The most frequent eliciting food for acute FPIES was cow's milk, followed by fish, vegetables (eg, potato, pumpkin), meats (eg, beef), and grains. A total of 119 children reacted to 1 food only, 16 children to 2 or 3 foods, and 7 children to >= 4 foods. In chronic FPIES, all but 4 exclusively breastfed infants reacted to cow's milk feeding. IgE sensitization to the triggering food was found in 21 of 152 (14%) cases. Two children developed additional IgE-mediated symptoms upon a food challenge. Time to proof of tolerance was shortest in cow's milk-induced FPIES, and it was shorter in chronic than in acute FPIES. CONCLUSION: In our national survey, we identified triggers for acute FPIES that partially differ from those reported internationally. Mainly foods introduced early in infant nutrition triggered acute reactions. Time to proven tolerance was shown to be contingent on FPIES symptomatology and on the triggering food. These data should be considered regarding nutritional advice for infants with FPIES. (C) 2021 American Academy of Allergy, Asthma & Immunolog