Category: Nevin Manimala

Swiss Med Wkly. 2024 Jul 16;154:3861. doi: 10.57187/s.3861.

ABSTRACT

AIM OF THIS STUDY: General internal medicine is a crucial element in healthcare systems. Understanding how many people are and will be working in this field is important to maintain and improve quality for patients in healthcare systems. This can provide a basis for political decisions.

METHODS: We conducted a cross-sectional study to analyse the current and future workforce of generalists (general practitioners and internists in hospitals) in Switzerland. The Swiss Society of General Internal Medicine (SSGIM) distributed a survey to all members. Respondents were asked about their current average workload in 2023 and planned workload in 2033. The responses were used to calculate full-time equivalent (FTE) for the current and future workforce of generalists and to extrapolate FTE for all active SSGIM members. To model the demand by 2033, we derived different scenarios.

RESULTS: Of all 6,232 active SSGIM members, 2,030 (33%) participated: 46% female, 25% (largest age group) 56-65 years old, 19% still in postgraduate training. The average workload in 2023 was 78% for female and 87% for male generalists; the FTE extrapolated to all active SSGIM members in 2023 was 5,246. By 2033, 1,935 FTEs (36%) will retire, 502 FTEs (10%) will reduce their workload, 116 FTEs (2%) will increase their workload and 2,800 FTEs (53%) will remain in the workforce with the same workload as in 2023. To maintain the same workforce as in 2023, 2,321 new FTEs (44%) will be needed by 2033. To fill this gap of 232 FTE new generalists per year, we modelled different scenarios with assumptions of interest, workload, migration and dropouts.

CONCLUSIONS: Within only one decade, 44% of the current workforce of generalists will disappear, mainly due to retirement and decreased workload. To fill this gap, various scenarios need to be incorporated. Politicians are called upon to create the political framework to create attractive training and working conditions for generalists to address the future demand for healthcare services.

PMID:39137384 | DOI:10.57187/s.3861

Swiss Med Wkly. 2024 Jul 16;154:3751. doi: 10.57187/s.3751.

ABSTRACT

AIMS OF THE STUDY: Limited knowledge exists regarding exposures to non-therapeutic chemicals by women planning to conceive, or during pregnancy or breastfeeding. The Swiss Teratogen Information Service (STIS) provides information to healthcare professionals about medications and other exposures during pregnancy or breastfeeding. This study aimed to describe the queries on non-therapeutic chemicals addressed to the STIS over the past two decades.

METHODS: Using data from the STIS for the years 2000 to 2019, we conducted a descriptive analysis of all queries related to women’s exposures to non-therapeutic chemicals during pregnancy planning, pregnancy or breastfeeding.

RESULTS: Over two decades, the STIS database recorded 320 exposures to chemicals. Workplace settings accounted for over 60% of queries, followed by exposures at home (20%). In almost half (48%) of the queries, more than one chemical was mentioned, totalling 885 chemicals across these 320 queries. Commonly mentioned chemicals included isopropanol, acetone and lead. Solvents were the leading category of products (16%), followed by cleaning products (10%), paints (8%) and insecticides (5%). The follow-up data showed five diverse cases of congenital malformations, accounting for 4.0% (5 out of 125) of the sample, a figure in line with the background risk of malformations in the general population.

CONCLUSIONS: This study emphasises the importance of conducting research that comprehensively captures the highly heterogeneous exposures to non-therapeutic chemicals during pregnancy and suggests that attention should be given not only to professional settings, but also to domestic contexts.

PMID:39137375 | DOI:10.57187/s.3751

Swiss Med Wkly. 2024 Jul 11;154:3643. doi: 10.57187/s.3643.

ABSTRACT

OBJECTIVES: Due to the increasing complexity of the healthcare system, effective communication and data exchange between hospitalists (in-hospital physicians) and primary care physicians (PCPs) is both central and challenging. In Switzerland, little is known about hospitalists’ perception of their communication with PCPs. The primary objective was to assess hospitalists’ satisfaction with their communication with PCPs. Secondary objectives addressed all information about the referral process and communication with PCPs during and after the hospital encounter. Lastly, the results of a previous survey among PCPs were juxtaposed to compare their responses to similar questions.

METHODS: This study surveyed hospitalists in six hospitals in the Central Switzerland region. The survey was sent via email to hospitalists from November 2021 to February 2022. The questionnaire contained 17 questions with single- and multiple-choice answers and the option of free-text entry. Exploratory multivariable logistic regression was used to analyse independent associations.

RESULTS: In total, 276 of 1134 hospitalists responded (response rate 24.3%): (1) the majority of hospitalists are satisfied with the general communication (n = 162, 58.7%) as well as with referral letters (n = 145, 52.5%), (2) preferred information channels for referral letters are email (n = 212, 76.8%) and electronic portals (n = 181, 65.5%), (3) the three most important items of information in referrals are: medication list, diagnoses and reason for referral. In multivariable regression, compared to other clinicians, internists independently favoured informing PCPs of emergency admissions of their patients in a timely manner (OR 2.04; 95%CI 1.21-3.49). Comparing responses from PCPs (n = 109), the most prominent discrepancy was that 67% (n = 184) of hospitalists claimed to “always” inform after an encounter, whereas only 7% (n = 8) of PCPs agreed.

CONCLUSION: Most hospitalists are satisfied with the communication with PCPs and prefer electronic communication channels. Room for improvement was found around timely transmission of patient information before and after hospital encounters.

PMID:39137374 | DOI:10.57187/s.3643

Swiss Med Wkly. 2024 Jul 1;154:3408. doi: 10.57187/s.3408.

ABSTRACT

INTRODUCTION: Quantifying antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and neutralising antibodies may help to understand protection at the individual and population levels. Determination of neutralising antibodies using classical virus neutralisation tests (VNT) is considered the gold standard, but they are costly and time-intensive. Enzyme-linked immunosorbent assay (ELISA)-based surrogate VNTs (sVNT) or anti-SARS-CoV-2 spike protein receptor binding domain immunoglobulins (anti-S-RBD Ig) may be suitable alternatives to VNTs. We aimed to (a) explore the correlations between anti-S-RBD Ig, VNT, and sVNT measurements and (b) describe humoral immunity against SARS-CoV-2 after vaccination, natural infection, and vaccine breakthrough infection in healthy blood donors.

METHODS: We measured total anti-SARS-CoV-2 Ig in 5714 serum samples from 2748 healthy individuals visiting the Swiss Red Cross Blood Donation Centre in Basel from 03/2020 to 04/2022. We used the Elecsys® Anti-SARS-CoV-2 immunoassay (Roche) against the N- and S-receptor binding domain (RBD) proteins. In a subset of 548 samples from 123 donors, we conducted sVNTs against the Wuhan wild-type SARS-CoV-2 (SARS-CoV-2 Neutralizing Antibodies Detection Kit; Adipogen™). In 100 samples from 40 donors, we correlated sVNT and VNTs against the wild-type (D614G WU1) virus. Surveys were sent to the blood donors to collect data on their SARS-CoV-2 infection and vaccination status. Using this data, donors were categorised as “vaccination only”, “infection before vaccination”, “post-vaccine breakthrough infection”, and “natural infection only”.

RESULTS: Our longitudinal observation study cohort consisted of 50.7% males with a median age of 31 years (range 18-75 y). Anti-SARS-CoV-2 N protein positivity rates per month indicate 57.1% (88/154) of the cohort was infected up to 04/2022. No differences in seropositivity were found between sexes, age groups, blood types (AB0 or RhD), and cytomegalovirus serostatus. We observed a high correlation between anti-S-RBD Ig and inhibition percentage (Spearman’s ρ = 0.92, Kendall’s τ = 0.77, p <0.0001). We determined the sensitivity and specificity for the manufacturers’ thresholds for detecting virus-neutralising effects and computed the “best” cut-off based on our real-world data. We categorised 722/1138 (63.5%) donors as vaccination only (82.3%), post-vaccine breakthrough infection (7.8%), infection before vaccination (5.8%), and natural infection only (4.2%). We observed a lower inhibition percentage in the natural infection-only group than in all other vaccinated groups. The infection before vaccination group had higher anti-S-RBD Ig titres after the first vaccine dose than the other vaccinated groups.

CONCLUSION: In total, 57.1% of healthy blood donors were infected with SARS-CoV-2, but natural infection without evidence of vaccination seems to result in substantially lower neutralising antibody levels. An estimate of antibody neutralisation may be helpful to assess reinfection risk. Total anti-S-RBD Ig correlates with surrogate virus neutralisation test results, a surrogate for neutralisation; therefore, we suggest that total anti-S-RBD Ig may estimate the level of neutralising antibodies. The threshold for protection from an unfavourable clinical outcome must be evaluated in prospective clinical cohorts.

PMID:39137369 | DOI:10.57187/s.3408

JCO Clin Cancer Inform. 2024 Aug;8:e2400034. doi: 10.1200/CCI.24.00034.

ABSTRACT

PURPOSE: Electronic health records (EHRs) are valuable information repositories that offer insights for enhancing clinical research on breast cancer (BC) using real-world data. The objective of this study was to develop a natural language processing (NLP) model specifically designed to extract structured data from BC pathology reports written in natural language.

METHODS: During the initial phase, the algorithm’s development cohort comprised 193 pathology reports from 116 patients with BC from 2012 to 2016. A rule-based NLP algorithm was applied to extract 26 variables for analysis and was compared with the manual extraction of data performed by both a data entry specialist and an oncologist. Following the first approach, the data set was expanded to include 513 reports, and a Named Entity Recognition (NER)-NLP model was trained and evaluated using K-fold cross-validation.

RESULTS: The first approach led to a concordance analysis, which revealed an 82.9% agreement between the algorithm and the oncologist, whereas the concordance between the data entry specialist and the oncologist was 90.8%. The second training approach introduced the definition of an NER-NLP model, in which the accuracy showed remarkable potential (97.8%). Notably, the model demonstrated remarkable performance, especially for parameters such as estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and Ki-67 (F1-score 1.0).

CONCLUSION: The present study aligns with the rapidly evolving field of artificial intelligence (AI) applications in oncology, seeking to expedite the development of complex cancer databases and registries. The results of the model are currently undergoing postprocessing procedures to organize the data into tabular structures, facilitating their utilization in real-world clinical and research endeavors.

PMID:39137368 | DOI:10.1200/CCI.24.00034

Swiss Med Wkly. 2024 Jul 1;154:3768. doi: 10.57187/s.3768.

ABSTRACT

BACKGROUND: Non-pharmaceutical interventions during the COVID-19 pandemic caused an unusual epidemiology in bronchiolitis hospitalisations, with a peak in the summer seasons of 2020 and 2021.

AIM: The aim of this study was to analyse data from a 5-year period (2018-2022) at Hôpital du Jura in Delémont, Switzerland, regarding bronchiolitis hospitalisations before, during and towards the end of the COVID-19 pandemic in order to prepare for future changes in bronchiolitis epidemiology.

MATERIALS AND METHODS: Anonymous retrospective data on bronchiolitis hospitalisations for children under 2 years of age with hospital admission date from 1 January 2018 to 31 December 2022 was obtained from the Health Records Coding Unit of our hospital.

RESULTS: A clear shift in the peak of bronchiolitis is seen in 2021 compared to the three previous years. Starting in spring 2022, the trend begins to mimic pre-pandemic years. For respiratory syncytial virus (RSV) bronchiolitis hospitalisations specifically, an important peak in hospitalisations is seen in the summer months of 2021, with over 20 admissions, compared to zero admissions in the previous years. This peak shifts to the winter months in 2022.

CONCLUSIONS: The non-pharmacological interventions implemented during 2020 and early 2021 did not cause a long-lasting seasonal shift in bronchiolitis. In 2022, when the non-pharmacological interventions were no longer in place in the non-hospital setting, the peak of bronchiolitis hospitalisations is seen once again in the winter months. We predict that hospitalisation patterns will gradually revert to those of pre-pandemic years.

PMID:39137355 | DOI:10.57187/s.3768

Swiss Med Wkly. 2024 Jul 30;154:3351. doi: 10.57187/s.3351.

ABSTRACT

AIM OF THE STUDY: The purpose of the present study was to evaluate demographic characteristics of inmates in the Canton of Zurich (exposure), and investigate the changes in diseases and drug use between 2015 and 2020 (outcome).

METHODS: The study prospectively evaluated 51,989 inmates admitted to the Police Prison Zurich in Switzerland between 1 April 2015 and 31 August 2020 and who were systematically medically assessed. A total of 19,027 (37%) inmates had one or more health conditions, which the authors recorded according to the International Classification of Diseases-10 (ICD-10), in addition to demographic data (country of origin, sex, age, year of imprisonment), as well as details of any drugs used (type and dosage).

RESULTS: The 19,027 inmates with medical conditions had a mean age of 35.4±12.5 years (range 10-89) and comprised 16,489 males (87%). The inmates originated from 170 countries, including 4606 from Switzerland (24.2%), 4227 from Eastern Europe (22%) and 3432 from the Middle East & North Africa (18%). A total of 1631 inmates (9%) were enrolled in the medication-assisted treatment (MAT) programme, and 672 patients (4%) received a psychiatric evaluation. The proportions of foreign prisoners did not increase during the study period. There was a significant increase in the use of antipsychotics from year 1 to 5 (y = 0.866x; R2 = 0.902; p = 0.01) and anticonvulsants from year 1 to 4 (y = 1.27x; R2 = 0.823; p = 0.01), and a significant decrease in the use of analgesics from year 2 to 5 (y = -4.42x; R2 = 0.947; p = 0.03) and antianxiety drugs from year 1 to 4 (y = -3.31x; R2 = 0.989; p = 0.005). Inmates from Switzerland were most likely to use antianxiety drugs, while inmates from the Middle East & North Africa were most likely to use antipsychotics (OR 2.09; CI 1.88-2.34) and anticonvulsants (OR 3.52; CI 2.90-4.29), whereas inmates from Latin and North America were most likely to use herbal medicine (OR 1.50; CI 1.05-2.10).

CONCLUSIONS: The findings of this study could help anticipate needs of prisons as well as improve treatment of disease and assist with substance use or abuse, particularly in the context of migration.

PMID:39137354 | DOI:10.57187/s.3351

Cannabis Cannabinoid Res. 2024 Aug 13. doi: 10.1089/can.2024.0127. Online ahead of print.

ABSTRACT

Introduction: Cannabis cultivars were usually categorized based on their genetic profile as sativa, indica, or hybrid types. However, these three criteria do not allow sufficient differentiation between the numerous varieties of cannabis strains. Furthermore, this classification is based on morphological and bio-geographical properties of the plants and does not represent the chemical composition of different cultivars. The concentration of cannabinoids and terpenes are crucial for the pharmacological effect, not only because of the known entourage effect, and therefore needs to be considered by categorization. Materials and Methods: A total of 140 medicinal cannabis flowers available on the German market were analyzed regarding their individual terpene profile using GC-MS analysis. Statistical evaluation was performed to investigate correlations and data relations as well as for clustering. Results: Multivariate analysis showed correlations between individual terpenes. However, there was no statistical correlation between terpene profiles and their respective genetic profile. Terpene profiles of sativa, indica, and hybrid strains are quite heterogenous and clearly showed that there is no relation between terpenes and the estimated pharmacological effect. As a result, we suggest a new classification system based on individual terpene profiles to faster a comprehensive understanding of the expected medical effect. Discussion: Considering main terpenes, we established a concept of six clusters with various terpene profiles being attributed to different medicinal applications. We excluded tetrahydrocannabinol (THC) and cannabidiol (CBD) content from clustering as most of the strains were THC dominant and therefore distort the results. Our pattern of strains with similar terpene profiles might refine the existing classes of chemotypes with different THC:CBD content. Conclusion: The categorization of cannabis strains based on their terpene profiles allows a clearer, finer and, above all, more meaningful classification than the existing sativa/indica classification. Due to the entourage effect and the interactions between cannabinoids and terpenes, this group of substances is also given the necessary consideration when selecting the right medicine for the individual. Within the next steps, further studies are needed with the aim of mapping clinical validated effects to our chemovars. If it is possible to correlate therapy of symptoms to specific chemical profiles personalized cannabinoid therapy will be possible.

PMID:39137353 | DOI:10.1089/can.2024.0127

Swiss Med Wkly. 2024 Jul 15;154:3769. doi: 10.57187/s.3769.

ABSTRACT

OBJECTIVES: Colorectal carcinoma remains one of the most common malignancies worldwide. Colonoscopy screening is most effective for early detection and tumour prevention and is currently recommended in Europe for adults aged over 50 years. However, given that an increasing proportion of patients are diagnosed before the age of 50, we set out to determine the detection rate of colorectal carcinoma in patients younger than 50 years and to determine the best threshold for starting colonoscopy screening.

METHODS: Single-centre, retrospective cohort study of all colonoscopies performed, regardless of indication, in our department at a tertiary Swiss university hospital in patients aged ≥18 and <60 years between 2016 and 2021. Colorectal cancer detection rate was calculated per 5-year age group and analysed separately by sex.

RESULTS: The current analysis included 2846 colonoscopies performed for any indication. Colorectal carcinoma was found in 5/366 (1.4%) patients aged 45-49 years (3/210 or 1.4% of males and 2/156 or 1.3% of females) and in 9/819 (1.1%) patients aged 50-54 years (5/495 or 1.0% of males and 4/324 or 1.2% of females). Adenomas with high-grade dysplasia were found in 5/366 (1.4%) patients aged 45-49 years and in 11/819 (1.3%) aged 50-54 years; by sex, in 4/210 or 1.9% of males and 1/156 or 0.6% of females aged 45-49 years, and in 6/495 or 1.2% of males and 5/324 or 1.5% of females aged 50-54 years. Detection of adenoma with low-grade dysplasia increased from 14.6% (21/144) at age <30 years to 41% (150/366) at 45-49 years and 43.5% (356/819) at 50-54 years. A similar increasing trend was also seen if we analysed these groups by sex.

CONCLUSIONS: The detection rate of colorectal carcinoma, but also adenomas, in our patients aged 45-49 years was similar to that in patients aged over 50, in both sexes. Thus our data are in line with the assumption that lowering the screening age to 45 years might be reasonable from a medical point of view for achieving a reduction in disease-specific mortality by improved screening strategies.

PMID:39137348 | DOI:10.57187/s.3769

Swiss Med Wkly. 2024 Jul 25;154:3798. doi: 10.57187/s.3798.

ABSTRACT

BACKGROUND: Respiratory distress syndrome is a leading cause of neonatal intensive care unit admissions for late preterm (34-36 weeks gestational age) and term infants (37-41 weeks). The risk for respiratory morbidity appears to increase after an elective caesarean delivery and might be reduced after antenatal corticosteroids. However, before considering antenatal corticosteroids for women at high risk of preterm birth after 34 weeks, the incidence of respiratory distress syndrome and the effect of delivery mode on this incidence requires further evaluation. Therefore, this study aimed to investigate the relationship between respiratory distress syndrome incidence and delivery mode in late preterm and term infants.

METHODS: In this retrospective cohort study, the clinical databases of the University Hospitals of Zurich and Basel were queried regarding all live births between 34 + 0 and 41 + 6 weeks. Neonatal intensive care unit admissions due to respiratory distress syndrome were determined and analysed in regard to the following delivery modes: spontaneous vaginal, operative vaginal, elective caesarean, secondary caesarean and emergency caesarean.

RESULTS: After excluding malformations (n = 889) and incomplete or inconclusive data (n = 383), 37,110 infants out of 38,382 were evaluated. Of these, 5.34% (n = 1980) were admitted to a neonatal intensive care unit for respiratory distress syndrome. Regardless of gestational age, respiratory distress syndrome in infants after spontaneous vaginal delivery was 2.92%; for operative vaginal delivery, it was 4.02%; after elective caesarean delivery it was 8.98%; following secondary caesarean delivery, it was 8.45%, and after an emergency caesarean it was 13.3%. The risk of respiratory distress syndrome was higher after an elective caesarean compared to spontaneous vaginal delivery, with an odds ratio (OR), adjusted for gestational age, of 2.31 (95% CI 1.49-3.56) at 34 weeks, OR 5.61 (95% CI 3.39-9.3) at 35 weeks, OR 1.5 (95% CI 0.95-2.38) at 36 weeks, OR 3.28 (95% CI 1.95-5.54) at 37 weeks and OR 2.51 (95% CI 1.65-3.81) at 38 weeks. At 39 weeks, there was no significant difference between the risk of respiratory distress syndrome after an elective caesarean vs. spontaneous vaginal delivery. Over the study period, gestational age at elective caesarean delivery remained stable at 39.3 ± 1.65 weeks.

CONCLUSION: The incidence of respiratory distress syndrome following an elective caesarean is up to threefold higher in infants born with less than 39 weeks gestational age compared to those born by spontaneous vaginal delivery. Therefore – and whenever possible – an elective caesarean delivery should be planned after 38 completed weeks to minimise the risk of respiratory morbidity in neonates.

PMID:39137347 | DOI:10.57187/s.3798