| 1. |
- Taddei, C, et al.
(författare)
-
Repositioning of the global epicentre of non-optimal cholesterol
- 2020
-
Ingår i: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 582:7810, s. 73-
-
Tidskriftsartikel (refereegranskat)abstract
- High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol—which is a marker of cardiovascular risk—changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million–4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
|
|
| 2. |
- Nordqvist, Ola, 1979-, et al.
(författare)
-
A novel index to assess low energy fracture risks in patients prescribed antiepileptic drugs
- 2021
-
Ingår i: PLOS ONE. - San Francisco : Public Library of Science. - 1932-6203. ; 16:8
-
Tidskriftsartikel (refereegranskat)abstract
- Objective: To develop an index assessing the risks of low energy fractures (LEF) in patients prescribed antiepileptic drugs (AED) by exploring five previously suggested risk factors; age, gender, AED-type, epilepsy diagnosis and BMI.Methods: In a population-based retrospective open cohort study we used real world data from the Electronic Health Register (EHR) in Region Kalmar County, Sweden. 23 209 patients prescribed AEDs at any time from January 2008 to November 2018 and 23 281 matching controls were followed from first registration in the EHR until the first documented LEF, disenrollment (or death) or until the end of the study period, whichever came first. Risks of LEF measured as hazard rate ratios in relation to the suggested risk factors and in comparison to matched controls were analyzed using Cox regression. The index was developed using a linear combination of the statistically significant variables multiplied by the corresponding regression coefficients.Results: Data from 23 209 patients prescribed AEDs and 2084 documented LEFs during a follow-up time of more than 10 years resulted in the Kalmar Epilepsy Fracture Risk Index (KEFRI). KEFRI = Age-category x (1.18) + Gender x (-0.51) + AED-type x (0.29) + Epilepsy diagnosis-category x (0.31) + BMI-category x (-0.35). All five previously suggested risk factors were confirmed. Women aged 75 years and older treated with an inducing AED against epilepsy and BMIs of 25 kg/m2 or below had 48 times higher LEF rates compared to men aged 50 years or younger, treated with a non-inducing AED for a condition other than epilepsy and BMIs above 25 kg/m2.Conclusion: The KEFRI is the first weighted multifactorial assessment tool estimating risks of LEF in patients prescribed AEDs and could serve as a feasible guide within clinical practice.
|
|
| 3. |
- Sandheimer, Christine, et al.
(författare)
-
Implementation of a Care Manager Organization and Its Association with Health Care Contacts and Psychotherapy: A Register-Based Study of Real-Life Outcomes at Primary Health Care Centers in Sweden.
- 2021
-
Ingår i: International Journal of General Medicine. - 1178-7074. ; 14, s. 5621-5630
-
Tidskriftsartikel (refereegranskat)abstract
- A care manager organization, based on a collaborative care model, was implemented in the primary health care service in Region Västra Götaland, Sweden, to improve the care of persons with common mental disorders (CMDs). We aimed to investigate the association between the care manager organization and number of health care contacts, and the extent of psychotherapy among female and male patients with CMD compared to primary health care centers (PHCCs) offering usual care, in the introductory year of implementation with one year follow-up.This register-based study included all PHCCs in the region, which were analyzed in two groups depending on their care manager status. The study periods were 2015.09.01-2016.08.31 (first year) and 2016.09.01-2017.08.31 (second year). Data on health care contacts and psychotherapy per PHCC were obtained from a health care register. The mean number and proportion of visits to different health care professionals, and the proportion of patients with short-term versus long-term psychotherapy were measured. A linear mixed-effects model for cross-sectional and longitudinal analysis was implemented as well as a generalized linear regression model for possible interaction effects of PHCC characteristic on care manager status and outcomes.PHCCs with a care manager organization had more nurse contacts (p = 0.001 for both year 1 and year 2) compared to PHCCs with usual care. PHCCs with usual care had a significantly lower proportion of visits to psychotherapists and a higher proportion of both female and male patients receiving short-term psychotherapy (1-5 sessions vs ≥6) over time and compared to PHCCs with a care manager organization.With a care manager organization, nurse contacts increased at the PHCCs. However, this did not negatively influence the visits to a general practitioner and to psychotherapists. This evaluation showed that the care manager organization at PHCC level implies higher accessibility and sustainability of care for up to two years after implementation.
|
|
| 4. |
- Pepic, I., et al.
(författare)
-
Early detection of sepsis using artificial intelligence : a scoping review protocol
- 2021
-
Ingår i: Systematic Reviews. - : Springer Nature. - 2046-4053. ; 10:1
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk prediction decision support systems based on artificial intelligence.Methods: The overall aim of this scoping review is to summarize the literature on existing methods for early detection of sepsis using artificial intelligence. The review will be performed using the framework formulated by Arksey and O’Malley and further developed by Levac and colleagues. To identify primary studies and reviews that are suitable to answer our research questions, a comprehensive literature collection will be compiled by searching several sources. Constrictions regarding time and language will have to be implemented. Therefore, only studies published between 1 January 1990 and 31 December 2020 will be taken into consideration, and foreign language publications will not be considered, i.e., only papers with full text in English will be included. Databases/web search engines that will be used are PubMed, Web of Science Platform, Scopus, IEEE Xplore, Google Scholar, Cochrane Library, and ACM Digital Library. Furthermore, clinical studies that have completed patient recruitment and reported results found in the database ClinicalTrials.gov will be considered. The term artificial intelligence is viewed broadly, and a wide range of machine learning and mathematical models suitable as base for decision support will be evaluated. Two members of the team will test the framework on a sample of included studies to ensure that the coding framework is suitable and can be consistently applied. Analysis of collected data will provide a descriptive summary and thematic analysis. The reported results will convey knowledge about the state of current research and innovation for using artificial intelligence to detect sepsis in early phases of the medical care chain.Ethics and dissemination: The methodology used here is based on the use of publicly available information and does not need ethical approval. It aims at aiding further research towards digital solutions for disease detection and health innovation. Results will be extracted into a review report for submission to a peer-reviewed scientific journal. Results will be shared with relevant local and national authorities and disseminated in additional appropriate formats such as conferences, lectures, and press releases.
|
|
| 5. |
|
|
| 6. |
- Alin, Rebecca, 1989, et al.
(författare)
-
A Preparatory Study for a Randomized Controlled Trial of Dietary Fiber Intake During Adult Pelvic Radiotherapy
- 2021
-
Ingår i: Frontiers in Nutrition. - : Frontiers Media SA. - 2296-861X. ; 8
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Patients undergoing pelvic radiotherapy are often advised to omit fiber-rich foods from their diet to reduce the adverse effects of treatment. Scientific evidence supporting this recommendation is lacking, and recent studies on animals and humans have suggested that there is a beneficial effect of dietary fiber for the alleviation of symptoms. Randomized controlled studies on dietary fiber intake during pelvic radiotherapy of sufficient size and duration are needed. As preparation for such a large-scale study, we evaluated the feasibility, compliance, participation rate, and logistics and report our findings here in this preparatory study. Methods: In this preparatory study of a fiber intervention trial, Swedish gynecological cancer patients scheduled for radiotherapy were recruited between January 2019 and August 2020. During the intervention, the participants filled out questionnaires and used an application. They also consumed a fiber supplement at first in powder form, later in capsules. Blood- and fecal samples were collected. The study is registered in clinicaltrials.gov (https://clinicaltrials.gov/ct2/show/NCT04534075?cond=fidura&draw=2&rank=1). Results: Among 136 approached patients, 57 started the study and the participation rate for primary outcomes was 63% (third blood sample) and 65% (third questionnaire). Barely half of the participants provided fecal samples. Providing concise and relevant information to the patients at the right time was crucial in getting them to participate and stay in the study. The most common reasons for declining participation or dropping out were the expected burden of radiotherapy or acute side effects. Tailoring the ambition level to each patient concerning the collection of data beyond the primary endpoints was an important strategy to keep the dropout rate at an acceptable level. Using capsules rather than psyllium in powder form made it much easier to document intake and to create a control group. During the course of the preparatory study, we improved the logistics and for the last 12 participants included, the participation rate was 100% for the earliest primary outcome. Conclusion: A variety of adjustments in this preparatory study resulted in an improved participation rate, which allowed us to set a final protocol and proceed with the main study.
|
|
| 7. |
- Hårdstedt, Maria, 1971-, et al.
(författare)
-
Swimming-Induced Pulmonary Edema : Diagnostic Criteria Validated by Lung Ultrasound
- 2020
-
Ingår i: Chest. - : American College of Chest Physicians. - 0012-3692 .- 1931-3543. ; 158:4, s. 1586-1595
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Despite the increasing popularity of open water swimming worldwide, swimming-induced pulmonary edema (SIPE) is a poorly recognized condition lacking established diagnostic criteria.RESEARCH QUESTION: The aim of this study was to identify diagnostic criteria of SIPE during a large open water swimming event.STUDY DESIGN AND METHODS: In this cross-sectional study, 17,904 individuals swam 1,000, 1,500, or 3,000 m in cold open water during Sweden's largest open water swimming event in 2018 and 2019. Of 166 swimmers seeking medical attention for acute respiratory symptoms, 160 were included in the study. Medical history, symptoms, and clinical findings were collected. On-site lung ultrasound (LUS) was performed to verify pulmonary edema.RESULTS: Pulmonary edema was confirmed by LUS in 102 patients (64%); findings were unilateral in 11 (7%). Peripheral oxygen saturation was identified as a strong independent diagnostic test for pulmonary edema, with ≤ 95% as the suggested cut off based on receiver-operating characteristic curve analysis (area under the curve, 0.893; P < .0001). Crackles on lung auscultation, predominantly over the anterior chest, identified 88% of patients with edema. Peripheral oxygen saturation ≤ 95% or auscultation findings of crackles identified pulmonary edema with a sensitivity of 97% and a specificity of 86%. A specificity of 98% and a positive predictive value of 99% for LUS-verified pulmonary edema were reached if patients presented with both oxygen saturation ≤ 95% and auscultation of crackles.INTERPRETATION: We suggest a clinical algorithm for diagnosis of SIPE for swimmers with acute respiratory symptoms during swimming in cold open water. Novel features of focally distributed edema in the anterior parts of the lungs, sometimes unilateral, add to this unique dataset of an underreported condition.
|
|
| 8. |
- Lang, Victoria Ashley, 1994, et al.
(författare)
-
Mathematical and Computational Models for Pain: A Systematic Review
- 2021
-
Ingår i: Pain Medicine. - : Oxford University Press (OUP). - 1526-2375 .- 1526-4637. ; 22:12, s. 2806-2817
-
Tidskriftsartikel (refereegranskat)abstract
- Objective. There is no single prevailing theory of pain that explains its origin, qualities, and alleviation. Although many studies have investigated various molecular targets for pain management, few have attempted to examine the etiology or working mechanisms of pain through mathematical or computational model development. In this systematic review, we identified and classified mathematical and computational models for characterizing pain. Methods. The databases queried were Science Direct and PubMed, yielding 560 articles published prior to January 1st, 2020. After screening for inclusion of mathematical or computational models of pain, 31 articles were deemed relevant. Results. Most of the reviewed articles utilized classification algorithms to categorize pain and no-pain conditions. We found the literature heavily focused on the application of existing models or machine learning algorithms to identify the presence or absence of pain, rather than to explore features of pain that may be used for diagnostics and treatment. Conclusions. Although understudied, the development of mathematical models may augment the current understanding of pain by providing directions for testable hypotheses of its underlying mechanisms. Additional focus is needed on developing models that seek to understand the underlying mechanisms of pain, as this could potentially lead to major breakthroughs in its treatment.
|
|
| 9. |
- Wibring, Kristoffer, et al.
(författare)
-
Prehospital stratification in acute chest pain patient into high risk and low risk by emergency medical service : A prospective cohort study
- 2021
-
Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 11:4
-
Tidskriftsartikel (refereegranskat)abstract
- Objectives To describe contemporary characteristics and diagnoses in prehospital patients with chest pain and to identify factors suitable for the early recognition of high-risk and low-risk conditions.Design Prospective observational cohort study.Setting Two centre study in a Swedish county emergency medical services (EMS) organisation.Participants Unselected inclusion of 2917 patients with chest pain contacting the EMS due to chest pain during 2018.Primary outcome measures Low-risk or high-risk condition, that is, occurrence of time-sensitive diagnosis on hospital discharge.Results Of included EMS missions, 68% concerned patients with a low-risk condition without medical need of acute hospital treatment in hindsight. Sixteen per cent concerned patients with a high-risk condition in need of rapid transport to hospital care. Numerous variables with significant association with low-risk or high-risk conditions were found. In total high-risk and low-risk prediction models shared six predictive variables of which ST-depression on ECG and age were most important. Previously known risk factors such as history of acute coronary syndrome, diabetes and hypertension had no predictive value in the multivariate analyses. Some aspects of the symptoms such as pain intensity, pain in the right arm and paleness did on the other hand appear to be helpful. The area under the curve (AUC) for prediction of low-risk candidates was 0.786 and for high-risk candidates 0.796. The addition of troponin in a subset increased the AUC to >0.8 for both.Conclusions A majority of patients with chest pain cared for by the EMS suffer from a low-risk condition and have no prognostic reason for acute hospital care given their diagnosis on hospital discharge. A smaller proportion has a high-risk condition and is in need of prompt specialist care. Building models with good accuracy for prehospital identification of these groups is possible. The use of risk stratification models could make a more personalised care possible with increased patient safety. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
|
|
| 10. |
- Pivodic, Aldina, 1978, et al.
(författare)
-
Individual Risk Prediction for Sight-Threatening Retinopathy of Prematurity Using Birth Characteristics
- 2020
-
Ingår i: JAMA Ophthalmology. - : American Medical Association (AMA). - 2168-6165 .- 2168-6173. ; 138:1, s. 21-29
-
Tidskriftsartikel (refereegranskat)abstract
- Importance: To prevent blindness, repeated infant eye examinations are performed to detect severe retinopathy of prematurity (ROP), yet only a small fraction of those screened need treatment. Early individual risk stratification would improve screening timing and efficiency and potentially reduce the risk of blindness. Objectives: To create and validate an easy-to-use prediction model using only birth characteristics and to describe a continuous hazard function for ROP treatment. Design, Setting, and Participants: In this retrospective cohort study, Swedish National Patient Registry data from infants screened for ROP (born between January 1, 2007, and August 7, 2018) were analyzed with Poisson regression for time-varying data (postnatal age, gestational age [GA], sex, birth weight, and important interactions) to develop an individualized predictive model for ROP treatment (called DIGIROP-Birth [Digital ROP]). The model was validated internally and externally (in US and European cohorts) and compared with 4 published prediction models. Main Outcomes and Measures: The study outcome was ROP treatment. The measures were estimated momentary and cumulative risks, hazard ratios with 95% CIs, area under the receiver operating characteristic curve (hereinafter referred to as AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: Among 7609 infants (54.6% boys; mean [SD] GA, 28.1 [2.1] weeks; mean [SD] birth weight, 1119 [353] g), 442 (5.8%) were treated for ROP, including 142 (40.1%) treated of 354 born at less than 24 gestational weeks. Irrespective of GA, the risk for receiving ROP treatment increased during postnatal weeks 8 through 12 and decreased thereafter. Validations of DIGIROP-Birth for 24 to 30 weeks' GA showed high predictive ability for the model overall (AUC, 0.90 [95% CI, 0.89-0.92] for internal validation, 0.94 [95% CI, 0.90-0.98] for temporal validation, 0.87 [95% CI, 0.84-0.89] for US external validation, and 0.90 [95% CI, 0.85-0.95] for European external validation) by calendar periods and by race/ethnicity. The sensitivity, specificity, PPV, and NPV were numerically at least as high as those obtained from CHOP-ROP (Children's Hospital of Philadelphia-ROP), OMA-ROP (Omaha-ROP), WINROP (weight, insulinlike growth factor 1, neonatal, ROP), and CO-ROP (Colorado-ROP), models requiring more complex postnatal data. Conclusions and Relevance: This study validated an individualized prediction model for infants born at 24 to 30 weeks' GA, enabling early risk prediction of ROP treatment based on birth characteristics data. Postnatal age rather than postmenstrual age was a better predictive variable for the temporal risk of ROP treatment. The model is an accessible online application that appears to be generalizable and to have at least as good test statistics as other models requiring longitudinal neonatal data not always readily available to ophthalmologists.
|
|
