Tag: statistics

Hosp Pediatr. 2022 Sep 15:e2022006567. doi: 10.1542/hpeds.2022-006567. Online ahead of print.

ABSTRACT

OBJECTIVES: To compare the effectiveness of dexamethasone versus prednisone or prednisolone on hospital resource utilization for children hospitalized with acute croup.

METHODS: This is a retrospective cohort study of the Pediatric Health Information System database on children aged 6 months to <6 years who were hospitalized with acute croup between January 1, 2015 and December 31, 2019. Children with a chronic complex condition, transferred from outside hospital, and/or received direction admission to ICU were excluded. Propensity score matching was used to compare length of stay (in hours), escalation of care to ICU, and the need for bronchoscopy with exposure to dexamethasone versus prednisone or prednisolone. We also compared rates of 7 day return to the emergency department and readmissions.

RESULTS: A total of 11 740 hospitalizations met inclusion criteria; dexamethasone was used in 95.9%; prednisone or prednisolone was used in 4.1%. In the matched cohort (n = 960), the length of stay was not significantly different between the dexamethasone and prednisone or prednisolone groups (21.3 vs 18.5 hours, P = .35). Although the rates bronchoscopy did not differ between the 2 groups, the dexamethasone cohort was more likely to require ICU transfer (P = .007). The rates of 7-day emergency department returns (2.3% vs 1.3%, P = .24) and readmissions (3.1% vs. 2.1%, P = .37) were low and not statistically different.

CONCLUSIONS: Hospital resource utilization did not differ significantly for children receiving dexamethasone or prednisone or prednisolone for acute croup. Both corticosteroids may be considered reasonable choices for the treatment of children hospitalized with acute croup.

PMID:36106471 | DOI:10.1542/hpeds.2022-006567

Physiol Rep. 2022 Sep;10(17):e15435. doi: 10.14814/phy2.15435.

ABSTRACT

Autonomic modulation is critical during various physiological activities, including orthostatic stimuli and primarily evaluated by heart rate variability (HRV). Orthostatic stress affects people differently suggesting the possibility of identification of predisposed groups to autonomic dysfunction-related disorders in a healthy state. One way to understand this kind of variability is by using Ayurvedic approach that classifies healthy individuals into Prakriti types based on clinical phenotypes. To this end, we explored the differential response to orthostatic stress in different Prakriti types using HRV. HRV was measured in 379 subjects(Vata = 97, Pitta = 68, Kapha = 68, and Mixed Prakriti = 146) from two geographical regions(Vadu and Delhi NCR) for 5 min supine (baseline), 3 min head-up-tilt (HUT) at 60°, and 5 min resupine. We observed that Kapha group had lower baseline HRV than other two groups, although not statistically significant. The relative change (%Δ_1&2 ) in various HRV parameters in response to HUT was although minimal in Kapha group. Kapha also had significantly lower change in HR, LF (nu), HF (nu), and LF/HF than Pitta in response to HUT. The relative change (%Δ₁ ) in HR and parasympathetic parameters (RMSSD, HF, SD1) was significantly greater in the Vata than in the Kapha. Thus, the low baseline and lower response to HUT in Kapha and the maximum drop in parasympathetic activity of Vata may indicate a predisposition to early autonomic dysfunction and associated conditions. It emphasizes the critical role of Prakriti-based phenotyping in stratifying the differential responses of cardiac autonomic modulation in various postures among healthy individuals across different populations.

PMID:36106418 | DOI:10.14814/phy2.15435

Orthop Surg. 2022 Sep 15. doi: 10.1111/os.13396. Online ahead of print.

ABSTRACT

OBJECTIVE: To evaluate the clinical efficacy of the treatment of scoliosis with a pedicle screw system through paraspinal intermuscular approach (PIA).

METHODS: This is a retrospective case series study. A total of 10 patients diagnosed with scoliosis had surgical indications and treated with a pedicle screw system in one-stage posterior surgery by PIA from March 2013 to April 2015 at the First Hospital of Jilin University were enrolled in this study. The average age of the patients was 14.9 years, including one male and nine females. The operative information and surgical results, including Cobb angle correction, correction loss, global balance (including Frontal Plane Balance [FPB] and Sagittal Plane Balance [SPB]), and fusion rate were reviewed. Functional outcomes including visual analog scale (VAS) back pain score, leg pain score, and Scoliosis Research Society-22 questionnaire (SRS-22) were used to evaluate the quality of life of patients preoperatively and at last follow-up.

RESULTS: Each patient was followed up at least six times. The average follow-up time was 43.2 months. Mean scoliosis and kyphosis improved from 68.5° ± 18.1°to 18.7° ± 11.8° and from 34.4° ± 17.9°to 24.0° ± 6.7°, respectively (p < 0.05); at last follow-up, it was 20.1° and 24.7°, respectively (p > 0.05). During the follow-up, mean coronal and sagittal correction loss was 1.4° ± 1.2°and 0.7° ± 0.8°, respectively (p > 0.05). Mean FPB improved from 32.7 to 11.7 mm (p < 0.05); Mean SPB changed from 0.3 to -0.7 mm (p > 0.05). No dural tears were observed during the corrective surgery or wound infection or implant-related complications. No pseudoarthrosis was identified according to the last follow-up three-dimensional (3D) CT scan. All the domains in SRS-22 questionnaire show statistically significant improvement at the last follow-up (p < 0.05). The VAS back pain scores improved from a mean preoperative score of 1.7 to a mean postoperative score of 0.2 (p < 0.05).

CONCLUSION: This original one-stage posterior PIA is safe and effective in the treatment of scoliosis, which is characterized with less blood loss, shorter operation time, and satisfactory bony fusion.

PMID:36106388 | DOI:10.1111/os.13396

Teach Learn Med. 2022 Sep 14:1-11. doi: 10.1080/10401334.2022.2119569. Online ahead of print.

ABSTRACT

Issue: Automatic item generation is a method for creating medical items using an automated, technological solution. Automatic item generation is a contemporary method that can scale the item development process for production of large numbers of new items, support building of multiple forms, and allow rapid responses to changing medical content guidelines and threats to test security. The purpose of this analysis is to describe three sources of validation evidence that are required when producing high-quality medical licensure test items to ensure evidence for valid test score inferences, using the automatic item generation methodology for test development. Evidence: Generated items are used to make inferences about examinees’ medical knowledge, skills, and competencies. We present three sources of evidence required to evaluate the quality of the generated items that is necessary to ensure the generated items measure the intended knowledge, skills, and competencies. The sources of evidence we present here relate to the item definition, the item development process, and the item quality review. An item is defined as an explicit set of properties that include the parameters, constraints, and instructions used to elicit a response from the examinee. This definition allows for a critique of the input used for automatic item generation. The item development process is evaluated using a validation table, whose purpose is to support verification of the assumptions related to model specification made by the subject-matter expert. This table provides a succinct summary of the content and constraints that were used to create new items. The item quality review is used to evaluate the statistical quality of the generated items, which often focuses on the difficulty and the discrimination of the correct and incorrect options. Implications: Automatic item generation is an increasingly popular item development method. The generated items from this process must be bolstered by evidence to ensure the items measure the intended knowledge, skills, and competencies. The purpose of this analysis is to describe these sources of evidence that can be used to evaluate the quality of the generated items. The important role of medical expertise in the development and evaluation of the generated items is highlighted as a crucial requirement for producing validation evidence.

PMID:36106359 | DOI:10.1080/10401334.2022.2119569

Psychol Health Med. 2022 Sep 14:1-15. doi: 10.1080/13548506.2022.2124292. Online ahead of print.

ABSTRACT

Studies show a connection between anxiety and stress, but with little differentiation between different domains of stress. In this article, we utilize a multi-dimensional approach to better understand the relationship between different chronic stress domains and anxiety. This will allow researchers to identify and address those areas of stress that are most relevant with regard to anxiety. We used data from a sub sample of the LIFE-Adult-Study (n = 1085) to analyze the association between nine different areas of chronic stress (Trier Inventory for Chronic Stress, TICS) and anxiety (General Anxiety Disorder 7, GAD-7), controlling for sociodemographic variables, personality, and social support. There was a significant and positive association between Work Overload, Pressure to Perform, Social Tensions, Social Isolation, Chronic Worrying, and anxiety. After including the control variables, only Work Overload and Chronic Worrying remained significant. By focusing on Work Overload and Chronic Worrying researchers, practitioners, and policy makers can help to mitigate anxiety and related health problems in the population in an efficient way.

PMID:36106349 | DOI:10.1080/13548506.2022.2124292

Front Nephrol. 2022;2:926635. doi: 10.3389/fneph.2022.926635. Epub 2022 Jul 22.

ABSTRACT

BACKGROUND: In hemodialysis patients, a third vaccination is frequently administered to augment protection against coronavirus disease 2019 (COVID-19). However, the newly emerged B.1.1.159 (Omicron) variant may evade vaccinal protection more easily than previous strains. It is of clinical interest to better understand the neutralizing activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants after booster vaccine or COVID-19 infection in these mostly immunocompromised patients.

METHODS: Hemodialysis patients from four dialysis centers were recruited between June 2021 and February 2022. Each patient provided a median of six serum samples. SARS-CoV-2 neutralizing antibodies (nAbs) against wild type (WT) or Omicron were measured using the GenScript SARS-CoV-2 Surrogate Virus Neutralization Test Kit.

RESULTS: Forty-two patients had three doses of mRNA1273. Compared to levels prior to the third dose, nAb-WT increased 18-fold (peak at day 23) and nAb-Omicron increased 23-fold (peak at day 24) after the third dose. Peak nAb-WT exceeded peak nAb-Omicron 27-fold. Twenty-one patients had COVID-19 between December 24, 2021, and February 2, 2022. Following COVID-19, nAb-WT and nAb-Omicron increased 12- and 40-fold, respectively. While levels of vaccinal and post-COVID nAb-WT were comparable, post-COVID nAb-Omicron levels were 3.2 higher than the respective peak vaccinal nAb-Omicron. Four immunocompromised patients having reasons other than end-stage kidney disease have very low to no nAb after the third dose or COVID-19.

CONCLUSIONS: Our results suggest that most hemodialysis patients have a strong humoral response to the third dose of vaccination and an even stronger post-COVID-19 humoral response. Nevertheless, nAb levels clearly decay over time. These findings may inform ongoing discussions regarding a fourth vaccination in hemodialysis patients.

PMID:36106337 | PMC:PMC9470295 | DOI:10.3389/fneph.2022.926635

Empir Econ. 2022 Sep 10:1-21. doi: 10.1007/s00181-022-02290-w. Online ahead of print.

ABSTRACT

This paper analyses the dynamic transmission mechanism of volatility spillovers between key global financial indicators and G20 stock markets. To examine volatility spillover relations, we combine a bivariate GARCH-BEKK model with complex network theory. Specifically, we construct a volatility network of international financial markets utilising the spatial connectedness of spillovers (consisting of nodes and edges). The findings show that spillover relations between global variables and G20 markets vary significantly across five identified sub-periods. Notably, networks are much denser in crisis periods compared to non-crisis periods. In comparing two crisis periods, Global Financial Crisis (2008) and COVID-19 Crisis (2020) periods, the network statistics suggest that volatility spillovers in the latter period are more transitive and intense than the former. This suggests that financial volatility spreads more rapidly and directly through key financial indicators to the G20 stock markets. For example, oil and bonds are the largest volatility senders, while the markets of Saudi Arabia, Russia, South Africa, and Brazil are the main volatility receivers. In the former crisis, the source of financial volatility concentrates primarily in the USA, Australia, Canada, and Saudi Arabia, which are the largest volatility senders and receivers. China emerges as generally the least sensitive market to external volatility.

PMID:36106329 | PMC:PMC9463059 | DOI:10.1007/s00181-022-02290-w

Front Med (Lausanne). 2022 Aug 29;9:998815. doi: 10.3389/fmed.2022.998815. eCollection 2022.

ABSTRACT

PURPOSE: Based on a large number of systematic reviews and meta-analyses exploring the relationship between psoriasis and various health outcomes, we conducted an comprehensive analysis to assess the strength and evidence for the association between psoriasis and medical end-point ramifications in patients.

METHODS: We searched related meta-analyses, investigating the links between psoriasis and medical ramifications from three databases. All summary effect sizes, 95% CIs, heterogeneity, and small-study effects in the included meta-analyses were recalculated. We assessed the methodological quality of included articles with the AMSTAR 2 tool and graded the epidemiological evidence. Subgroup analysis based on the severity of psoriasis and study design were also performed.

RESULTS: A total of 38 articles comprising 85 unique meta-analyses were included in this study. Although 69 outcomes were statistically significant, only 8 outcomes (nonvascular dementia, ulcerative colitis, pediatric dyslipidemia, gestational diabetes, gestational hypertension, fracture, multiple sclerosis, and schizophrenia) showed a high quality of epidemiological evidence.

CONCLUSION: We found that psoriasis increased the risk of 69 health outcomes, and 8 outcomes were graded as high-quality evidence. No evidence was found that psoriasis was beneficial for any medical end point. However, to verify our results, more large-sample, multi-center prospective cohort studies are needed.

PMID:36106326 | PMC:PMC9465012 | DOI:10.3389/fmed.2022.998815

Front Med (Lausanne). 2022 Aug 29;9:934270. doi: 10.3389/fmed.2022.934270. eCollection 2022.

ABSTRACT

BACKGROUND: Immune dysregulation and associated inefficient anti-viral immunity during Coronavirus Disease 2019 (COVID-19) can cause tissue and organ damage which shares many similarities with pathogenetic processes in systemic autoimmune diseases. In this study, we investigate wide range autoimmune and immunoserological markers in hospitalized patients with COVID-19.

METHODS: Study included 51 patients with confirmed Severe Acute Respiratory Syndrome Coronavirus 2 infection and hospitalized due to COVID-19 pneumonia. Wide spectrum autoantibodies associated with different autoimmune inflammatory rheumatic diseases were analyzed and correlated with clinical and laboratory features and pneumonia severity.

RESULTS: Antinuclear antibodies (ANA) positivity was found in 19.6%, anti-cardiolipin IgG antibodies (aCL IgG) in 15.7%, and anti-cardiolipin IgM antibodies (aCL IgM) in 7.8% of patients. Positive atypical x anti-neutrophil cytoplasmic antibodies (xANCA) were detected in 10.0% (all negative for Proteinase 3 and Myeloperoxidase) and rheumatoid factor was found in 8.2% of patients. None of tested autoantibodies were associated with disease or pneumonia severity, except for aCL IgG being significantly associated with higher pneumonia severity index (p = 0.036). Patients with reduced total serum IgG were more likely to require non-invasive mechanical ventilation (NIMV) (p < 0.0001). Serum concentrations of IgG (p = 0.003) and IgA (p = 0.032) were significantly lower in this group of patients. Higher total serum IgA (p = 0.009) was associated with mortality, with no difference in serum IgG (p = 0.115) or IgM (p = 0.175). Lethal outcome was associated with lower complement C4 (p = 0.013), while there was no difference in complement C3 concentration (p = 0.135).

CONCLUSION: Increased autoimmune responses are present in moderate and severe COVID-19. Severe pneumonia is associated with the presence of aCL IgG, suggesting their role in disease pathogenesis. Evaluation of serum immunoglobulins and complement concentration could help assess the risk of non-invasive mechanical ventilation NIMV and poor outcome.

PMID:36106319 | PMC:PMC9464912 | DOI:10.3389/fmed.2022.934270

Front Med (Lausanne). 2022 Aug 29;9:919150. doi: 10.3389/fmed.2022.919150. eCollection 2022.

ABSTRACT

BACKGROUND: No models have been developed to predict the survival probability for women with primary vaginal cancer (VC) due to VC’s extreme rareness. We aimed to develop and validate models to predict the overall survival (OS) and cancer-specific survival (CSS) of VC patients.

METHODS: A population-based multicenter retrospective cohort study was carried out using the 2004-2018 Surveillance, Epidemiology, and End Results Program database in the United States. The final multivariate Cox model was identified using the Brier score and Harrell’s C concordance statistic (C-statistic). The decision curve, calibration plot, and area under the time-dependent receiver operating characteristic curve (AUC) were used to evaluate model prediction performance. Multiple imputation followed by bootstrap was performed. Bootstrap validation covered the entire statistic procedure from model selection to baseline survival and coefficient calculation. Nomograms predicting OS and CSS were generated.

RESULTS: Of the 2,417 eligible patients, 1,692 and 725 were randomly allocated to the training and validation cohorts. The median age (Interquartile range) was 66 (56-78) and 65 (55-76) for the two cohorts, respectively. Our models had larger net benefits in predicting the survival of VC patients than the American Joint Committee on Cancer stage, presenting great discrimination ability and excellent agreement between the expected and observed events. The performance metrics of our models were calculated in three cohorts: the training cohort, complete cases of the validation cohort, and the imputed validation cohort. For the OS model in the three cohorts, the C-statistics were 0.761, 0.752, and 0.743. The slopes of the calibration plots were 1.017, 1.005, and 0.959. The 3- and 5-year AUCs were 0.795 and 0.810, 0.768 and 0.771, and 0.770 and 0.767, respectively. For the CSS model in the three cohorts, the C-statistics were 0.775, 0.758, and 0.755. The slopes were 1.021, 0.939, and 0.977. And the 3- and 5-year AUCs were 0.797 and 0.793, 0.786 and 0.788, and 0.757 and 0.757, respectively.

CONCLUSION: We were the first to develop and validate exemplary survival prediction models for VC patients and generate corresponding nomograms that allow for individualized survival prediction and could assist clinicians in performing risk-adapted follow-up and treatment.

PMID:36106318 | PMC:PMC9464817 | DOI:10.3389/fmed.2022.919150