Tag: statistics

Ann Med. 2023 Dec;55(1):2203515. doi: 10.1080/07853890.2023.2203515.

ABSTRACT

BACKGROUND: Obesity is associated with an increased risk of fracture in adults, but is unclear in postmenopausal women. We aim to determine the association of obesity with the risk of fracture in postmenopausal women.

METHODS: PubMed, EMBASE, Cochrane Library and Web of Science were searched up to 11 April 2022 for cohort studies. And the included studies regarding the relationship between obesity with all cause of fracture in postmenopausal women were included in our meta-analysis. Data were screened and extracted independently by two reviewers. The relative risks (RR) were estimated using a random-effects model. Between-study heterogeneity was assessed using Cochran’s Q and I² statistics.

RESULTS: Eight cohort studies comprising 671,532 postmenopausal women and 40,172 fractures were included. Overall, the pooling analysis shows that obesity in postmenopausal women is associated with an increased risk of all-cause fracture (relative ratio (RR) = 1.18; 95% confidence interval (CI):1.09-1.28, I² = 86.3%, p = .000). Sub-analyses for each site of fracture indicate that obesity was associated with an increased risk of vertebral fracture in postmenopausal women (RR = 1.154, 95% CI: 1.020-1.305, I² = 94.5%, p = .023), but reduced the risk of pelvic fracture (RR = 0.575, 95% CI:0.470-0.702, I² = 0.0%, p = .000). There is no statistically significant difference in the risk of hip and humerus fractures associated with obesity in postmenopausal women.

CONCLUSION: Obesity is associated with an increased risk of all-cause and vertebral fractures in postmenopausal women, but is a protective factor for pelvic fractures. Our findings suggest that postmenopausal women who regulate their weight might lower their risk of fractures.Registration: (PROSPERO: CRD42022324973)KEY MESSAGESObesity is associated with an increased risk of all-cause and vertebral fractures in postmenopausal women.Obesity maybe a protective factor for pelvic fractures in postmenopausal women.Postmenopausal women should regulate their weight to prevent fractures.

PMID:37190975 | DOI:10.1080/07853890.2023.2203515

Swiss Med Wkly. 2023 Apr 27;153:40063. doi: 10.57187/smw.2023.40063.

ABSTRACT

AIMS: The main objective of this study was to describe patients who were involuntarily admitted to the emergency department of Lausanne University Hospital on involuntary admission in 2018 in terms of age, gender, emergency department length of stay, the motive for involuntary admission, use of psychoactive substances, diagnosis, and destination at emergency department discharge, with or without discontinuation of involuntary admission.

METHODS: This retrospective, observational, and monocentric study included patients 18 years and older admitted to the emergency department of Lausanne University Hospital on involuntary admission from January 1, 2018, to December 31, 2018. Patients were identified by the Cantonal Medical Office of Vaud. The emergency department length of stay and patient destination on discharge from the emergency department were extracted from the patient flow database, and discharge letters and involuntary admission were extracted from the electronic archiving software. Descriptive statistics were processed by using means and standard deviations for quantitative variables with a normal distribution and median and interquartile range for non-normally distributed data.

RESULTS: During the study period, 83 patients were admitted on involuntary admission to the emergency department. The majority of the patients were male (58%) with a mean age of 55 (±20) years. The median emergency department length of stay of patients with an involuntary admission was between 9 and 16 hours, depending on whether the involuntary admission was confirmed or discontinued after patient assessment in the emergency department. In comparison, the median emergency department length of stay was 6 hours for patients overall. The two principal diagnoses described were psychiatric (schizophrenia) and mental and behavioural disorders due to psychoactive substance use. Half of the patients on involuntary admission consumed psychoactive substances, primarily alcohol, and had a mean ethanolaemia of 53 (±32) mmol/l.

CONCLUSIONS: Only a third of patients admitted on involuntary admission saw this measure confirmed after their assessment in the emergency department. Involuntary admissions with admission to the emergency department is used to force patients to be examined by an emergency physician or even a psychiatrist. On-call and primary care physicians seemed to lack the time or resources to set up alternatives to emergency department admissions on involuntary admission, especially in situations in which the involuntary admission was discontinued after an emergency department assessment. This demonstrates the inappropriate use of this measure because a patient cannot be involuntarily hospitalised in an emergency department.

PMID:37190905 | DOI:10.57187/smw.2023.40063

Stat Med. 2023 May 15. doi: 10.1002/sim.9767. Online ahead of print.

ABSTRACT

We consider a multi-arm trial with two or more active treatments plus a control where it is reasonable to assume an order for the treatment effects of the active arms compared to control. For example, the arms could be a high dose and low dose of a new drug and a placebo. The objective of the trial is to compare each active arm to control while maintaining strong control of the type 1 error rate. We show that when the study is powered to identify all promising treatments, a design that uses the order of the treatment effects to calculate the test statistic and to set the order of testing requires a smaller sample size than a design where each active arm is tested against the control arm independently. Under the considered settings, the sample size for a single-stage trial and a two-stage trial was reduced by at least 20%.

PMID:37190881 | DOI:10.1002/sim.9767

Brain Behav. 2023 May 15:e3063. doi: 10.1002/brb3.3063. Online ahead of print.

ABSTRACT

OBJECTIVES: Migraine is a common, multifactorial disorder. The exact pathomechanism of migraine remains unclear. Studies have revealed changes in serum prolactin (PRL) levels in relation to migraine, although the results have been inconsistent. The present case-control study assessed the serum level of prolactin in migraine patients.

MATERIALS AND METHODS: In this case-control study, participants were divided into chronic migraine (CM; n = 39), episodic migraine in ictal (during an attack), and interictal (between attacks) phases (n = 63, n = 37, respectively) along with 30 age- and sex-matched headache-free controls. After obtaining demographic, anthropometric data, and headache characteristics, blood samples were gathered and analyzed to evaluate the serum levels of prolactin (ng/mL).

RESULTS: A significant difference was observed between the control, CM, and ictal EM, and interictal EM groups. The mean ± SD serum prolactin levels of the chronic migraineurs (1.82 ± 0.94) and those with ictal EM (1.93 ± 1.70) were comparable and were significantly higher than for interictal EM patients (0.82 ± 0.46) and the headache-free control subjects (0.49 ± 0.15; p < .001). Although the mean serum concentration of prolactin for the interictal EM group tended to be higher than for control individuals, this difference was not statistically significant. The Spearman’s correlation test also showed significant correlations between the serum prolactin levels and the number of headaches days among migraineurs.

CONCLUSION: The findings suggest that there might be an association between increased prolactin concentrations and migraine headache induction and progression. Further detailed and well-designed studies are needed to confirm the importance of serum prolactin levels in the pathogenesis of migraine headaches.

PMID:37190874 | DOI:10.1002/brb3.3063

Ecol Lett. 2023 May 15. doi: 10.1111/ele.14242. Online ahead of print.

ABSTRACT

While the relationship between food web complexity and stability has been well documented, how complexity affects productivity remains elusive. In this study, we combine food web theory and a data set of 149 aquatic food webs to investigate the effect of complexity (i.e. species richness, connectance, and average interaction strength) on ecosystem productivity. We find that more complex ecosystems tend to be more productive, although different facets of complexity have contrasting effects. A higher species richness and/or average interaction strength increases productivity, whereas a higher connectance often decreases it. These patterns hold not only between realized complexity and productivity, but also characterize responses of productivity to simulated declines of complexity. Our model also predicts a negative association between productivity and stability along gradients of complexity. Empirical analyses support our predictions on positive complexity-productivity relationships and negative productivity-stability relationships. Our study provides a step forward towards reconciling ecosystem complexity, productivity and stability.

PMID:37190868 | DOI:10.1111/ele.14242

Scand J Med Sci Sports. 2023 May 15. doi: 10.1111/sms.14387. Online ahead of print.

ABSTRACT

Muscular strength has been positively associated with better brain health indicators during childhood obesity. However, the molecular mechanisms underlying the positive impact of muscular strength in brain health are poorly understood. We aimed to study the association of muscular strength with neurology-related circulating proteins in plasma in children with overweight/obesity and to explore the role of cardiorespiratory fitness (CRF) as a confounder. The participants were 86 Caucasian children (10.1 ± 1.1 years old; 41% girls) from the ActiveBrains project. Muscular strength was measured by field and laboratory tests. CRF was assessed with an incremental treadmill test. Olink’s technology was used to quantify 92 neurology-related proteins in plasma. Protein-protein interactions were computed using the STRING website. Muscular strength was positively associated with 12 proteins (BetaNGF, CDH6, CLEC10A, CLM1, FcRL2, HAGH, IL12, LAIR2, MSR1, SCARB2, SMOC2, and TNFRSF12A), and negatively associated with 12 proteins (CLEC1B, CTSC, CTSS, gal-8, GCP5, NAAA, NrCAM, NTRK2, PLXNB3, RSPO1, sFRP3, and THY1). After adjustment for CRF, muscular strength was positively associated with eight proteins (BetaNGF, CDH6, CLEC10A, FcRL2, LAIR2, MSR1, SCARB2, and TNFRSF12A) and negatively associated with two proteins (gal-8 and NrCAM). After applying FDR correction, only CLEC10A remained statistically significant. In conclusion, muscular strength was associated with blood circulating proteins involved in several biological processes, particularly anti-inflammatory response, lipid metabolism, beta amyloid clearance, and neuronal action potential propagation. More powered studies are warranted in pediatric populations to contrast or confirm our findings.

PMID:37190796 | DOI:10.1111/sms.14387

Ann Med. 2023 Dec;55(1):2209736. doi: 10.1080/07853890.2023.2209736.

ABSTRACT

OBJECTIVE: To conduct a meta-analysis and systematic review on the association between anticholinergic medication uses and the risk of pneumonia in elderly adults.

MATERIALS AND METHODS: Medical databases were searched included PubMed, Web of Science, EBSCO and Google Scholar (up to December 7, 2022). Studies evaluating association between anticholinergic medication uses and the risk of pneumonia in elderly adults were included. Studies without available data were excluded. We made meta-analysis by using adjusted odds ratio (aOR) with 95% confidence intervals (CIs) from random-effects model. The risk of bias was assessed using ROBINS-I tool and statistical heterogeneity using the I² statistic. Registration: INPLASY202330070.

RESULTS: A total of six studies with 107,012 participants were included. Meta-analysis results showed that anticholinergic medication uses was related with an increased risk of pneumonia (aOR = 1.59; 95%CI, 1.32-1.92) and stroke-associated pneumonia (aOR = 2.02; 95%CI, 1.76-2.33). Moreover, risk estimates of pneumonia for high-potency anticholinergics (aOR = 1.96; 95%CI, 1.22-3.14) were higher than those for low-potency anticholinergics (aOR = 1.58; 95%CI, 1.27-1.97). And increased risk of pneumonia was associated with the anticholinergic medication uses within 30 days (aOR = 2.13; 95%CI, 1.33-3.43), within 90 days (aOR = 2.03; 95%CI, 1.26-3.26) and chronic use (aOR = 1.65; 95%CI, 1.09-2.51).

CONCLUSIONS: The risk of pneumonia is increased in elderly adults with anticholinergic medication, especially with higher-potency anticholinergic drugs and in the initiation phase of anticholinergic medication. Clinicians should monitor their use in older patients carefully, especially when the pneumonia-related signs and symptoms are identified.

PMID:37190776 | DOI:10.1080/07853890.2023.2209736

Healthc Inform Res. 2023 Apr;29(2):174-185. doi: 10.4258/hir.2023.29.2.174. Epub 2023 Apr 30.

ABSTRACT

OBJECTIVES: Large amounts of healthcare data are now generated via patient health records, records of diagnosis and treatment, smart devices, and wearables. Extracting insights from such data can transform healthcare from a traditional, symptom-driven practice into precisely personalized medicine. Dialysis treatments generate a vast amount of data, with more than 100 parameters that must be regulated for ideal treatment outcomes. When complications occur, understanding electrolyte parameters and predicting their outcomes to deliver the optimal dialysis dosing for each patient is a challenge. This study focused on refining dialysis dosing by utilizing emerging data from the growing number of dialysis patients to improve patients’ quality of life and well-being.

METHODS: Exploratory data analysis and data prediction approaches were performed to gather insights from patients’ vital electrolytes on how to improve the patients’ dialysis dosing. Four predictive models were constructed to predict electrolyte levels through various dialysis parameters.

RESULTS: The decision tree model showed excellent performance and more accurate results than the support vector machine, linear regression, and neural network models.

CONCLUSIONS: The predictive models identified that pre-dialysis blood urea nitrogen, pre-weight, dry weight, anticoagulation, and sex had the most significant effects on electrolyte concentrations. Such models could fine-tune dialysis dosing levels for the growing number of dialysis patients to improve each patient’s quality of life, life expectancy, and well-being, and to reduce costs, efforts, and time consumption for both patients and physicians. The study’s results need to be validated on a larger scale.

PMID:37190742 | DOI:10.4258/hir.2023.29.2.174

Healthc Inform Res. 2023 Apr;29(2):168-173. doi: 10.4258/hir.2023.29.2.168. Epub 2023 Apr 30.

ABSTRACT

OBJECTIVES: Since protecting patients’ privacy is a major concern in clinical research, there has been a growing need for privacy-preserving data analysis platforms. For this purpose, a federated learning (FL) method based on the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) was implemented, and its feasibility was demonstrated.

METHODS: We implemented an FL platform on FeederNet, which is a distributed clinical data analysis platform based on the OMOP CDM in Korea. We trained it through an artificial neural network (ANN) using data from patients who received steroid prescriptions or injections, with the aim of predicting the occurrence of side effects depending on the prescribed dose. The ANN was trained using the FL platform with the OMOP CDMs of Kyung Hee University Medical Center (KHMC) and Ajou University Hospital (AUH).

RESULTS: The area under the receiver operating characteristic curves (AUROCs) for predicting bone fracture, osteonecrosis, and osteoporosis using only data from each hospital were 0.8426, 0.6920, and 0.7727 for KHMC and 0.7891, 0.7049, and 0.7544 for AUH, respectively. In contrast, when using FL, the corresponding AUROCs were 0.8260, 0.7001, and 0.7928 for KHMC and 0.7912, 0.8076, and 0.7441 for AUH, respectively. In particular, FL led to a 14% improvement in performance for osteonecrosis at AUH.

CONCLUSIONS: FL can be performed with the OMOP CDM, and FL often shows better performance than using only a single institution’s data. Therefore, research using OMOP CDM has been expanded from statistical analysis to machine learning so that researchers can conduct more diverse research.

PMID:37190741 | DOI:10.4258/hir.2023.29.2.168

J Coll Physicians Surg Pak. 2023 Apr;33(4):477-478. doi: 10.29271/jcpsp.2023.04.477.

ABSTRACT

This cross-sectional study aimed to describe the frequency of psychological sequelae of COVID-19 in healthcare workers (HCWs) conducted at The Aga University Hospital, from May to July 2020. The data collection was done online using a demographics questionnaire, concern of COVID-19 scale, Generalised Anxiety Disorder, and Impact of event scale. A total of 560 responses were received. Nearly 25% of participants had moderate to severe anxiety or psychological distress due to COVID-19. Female responders reported more anxiety compared to males. (p= 0.001. The doctors and nurses reported significant psychological distress (p=0.046). The participants with moderate to severe anxiety and psychological distress reported statistically significant high levels of concern of the following: inadequate protective measures, contracting and spreading COVID-19, medical violence, and deteriorating quality of patient interaction due to COVID-19. The COVID-19 pandemic has highlighted areas of development for occupational healthcare policy development in Pakistan. Implementation of contextualised solutions, especially psychosocial determinants is necessary to mitigate the invisible mental health burden and its impact on HCWs in Pakistan. Key Words: Occupational mental health, Pakistan, Anxiety, Depression.

PMID:37190726 | DOI:10.29271/jcpsp.2023.04.477