Category: Nevin Manimala

BMC Musculoskelet Disord. 2022 Jul 28;23(1):722. doi: 10.1186/s12891-022-05622-0.

ABSTRACT

PURPOSES: The purpose of this study was to investigate the predictive effect exerted by composite indices of femoral neck strength (compressive strength index (CSI), bending strength index (BSI) and impact strength index (ISI) on the femoral head collapse in steroid-associated ONFH patients.

METHODS: Nonoperative steroid-associated osteonecrosis of the femoral head (ONFH) patients from 2017 to 2019 were selected. The patients fell into the collapsed group and the non-collapsed group according to whether the femoral head collapsed. CSI, BSI and ISI were calculated. Moreover, bone turnover markers were measured. The statistical analysis was conducted on the predictive effects of composite indices of femoral neck strength and bone turnover index on ONFH collapse.

RESULTS: A total of 62 patients were included. The mean CSI, BSI and ISI were significantly lower in the collapsed group than those in the non-collapsed group (P < 0.05). CSI, ISI,t-P1NP and β-CTx were suggested as the protective risk factors for the femoral head collapse in ONFH patients. The ISI area under the curve values was 0. 878.The mean survival time of the hips of patients with ISI greater than 0.435 was greater (P < 0.05) than that of patients with ISI less than 0.435.

CONCLUSION: The composite indices of femoral neck strength can predict steroid-associated ONFH femoral head collapse more effectively than the bone turnover markers. The ISI value of 0.435 is a potential cut-off value, lower than this value can predict the early collapse of steroid-associated ONFH.

PMID:35902852 | DOI:10.1186/s12891-022-05622-0

BMC Psychiatry. 2022 Jul 28;22(1):511. doi: 10.1186/s12888-022-04035-6.

ABSTRACT

BACKGROUND: Due to budget restrictions in mental health care, non-professional caregivers are increasingly burdened with the emotional and practical care for their depressed relatives. However, informal family caregiving is mostly a stressful role with negative consequences on the physical and mental health of the caretakers to the extent that they have an elevated risk of experiencing psychiatric disorders themselves. While psychoeducation for relatives of depressed individuals showed positive results both in terms of the caretakers’ strain and the depressive symptoms of the affected person, there are major barriers to participate in presence in those programs. Digital programs might be a viable alternative. We found no empirically evaluated digital program available for informal caregivers of depressed patients.

METHODS: An online program for relatives of depressed individuals has been developed including four interactive modules on 1) psychoeducation, 2) how to strengthen the relationship with the depressed person, 3) how to deal with the depressive symptoms of the patient, and 4) find the right balance between caring for the depressed person and self-care. We investigate if this self-help program is more effective when used with individualized versus automated e-mail support, and if both supported conditions are more effective than treatment-as-usual (TAU in form of written information material) in terms of the risk of mental diseases in caregivers. The primary outcome is the reduction of the caregiver’s nonspecific mental distress as measured by the change of the Kessler Psychological Distress Scale score from baseline to four weeks after randomization. Caregivers (n = 500:500:250) will be randomized to one of the three conditions.

DISCUSSION: Psychological support for caregivers of individuals with mental disorders such as depression should be offered as part of integrated services. There is a huge potential to develop and implement interactive online approaches to support informal caregivers of patients with depression to function in their multiple roles and to help them to remain healthy.

TRIAL REGISTRATION: DRKS, DRKS00025241 . Registered 5 Mai 2021.

PMID:35902851 | DOI:10.1186/s12888-022-04035-6

BMC Infect Dis. 2022 Jul 28;22(1):657. doi: 10.1186/s12879-022-07647-1.

ABSTRACT

INTRODUCTION: Immunosuppressive chemotherapy increase the risk of vaccine-preventable infectious diseases in children; nevertheless, chemotherapy may result in delay or miss updated immunization schedules. The predictable antibody waning after incomplete primary immunization series may be intensified at the end of chemotherapy. This study aimed to investigate post-chemotherapy vaccine immunity waning at the end of immunosuppressive therapy in children with malignancy and hematologic disorders.

MATERIALS AND METHODS: Children with malignancies and hematologic disorders including chronic immune thrombocytopenic purpura (ITP) younger than 18 years old were enrolled from September 2015 to August 2019. Eligible patients who completed their treatment protocol for at least 6 months were recruited. The patient information, including sex, age at the date of diagnosis, number of chemotherapy sessions, underlying disease, and vaccination history, was taken by chart review using predefined questionnaires. The patient’s blood samples were obtained, and serum IgG antibody titer checked against diphtheria, tetanus, hepatitis B virus (HBV), mumps, measles, and rubella (MMR) were measured by enzyme-linked immunosorbent assay (ELISA).

RESULTS: 110 children receiving immunosuppressive chemotherapy were recruited. Forty-four (40%) of the children tested were girls and 66 (60%) were boys. The mean age of patients was 5.5 years with a range of 2 to 13 years. Of 110 studied children, 27.3% were seronegative for all antibodies. On average, patients undergo 19 episodes of chemotherapy. The mean chemotherapy sessions were significantly greater in children who were seronegative for all tested antibodies (mean: 36.2, 95% CI 33.16 to 39.24, p-value < 0.001). No statistically significant differences were observed regarding the patient’s sex and age between the seropositive and seronegative groups (p-value 0.513 and 0.060, respectively). Based on Poisson regression model analysis, the female gender was associated with 37% lower odds of seronegativity (incidence rate ratio (IIR): 0.63; [95% conf. interval: 0.39 to 1.01, p-value: 0.55]), while chemotherapy sessions 30 or more was associated with significant odds of seronegativity for all tested vaccines (IIR: 25.41; [95% conf. interval: 6.42 to 100.57, p-value < 0.001]).

CONCLUSION: Our results reemphasized planned catchup immunization in children undergoing immunosuppressive chemotherapy for malignancy, especially against tetanus, diphtheria, and hepatitis B at least 6 months after the end of chemotherapy sessions.

PMID:35902837 | DOI:10.1186/s12879-022-07647-1

BMC Psychiatry. 2022 Jul 29;22(1):513. doi: 10.1186/s12888-022-04160-2.

ABSTRACT

BACKGROUND: In Latin America and the Caribbean, there is a dearth of research exploring polysubstance use. This study aims to determine the prevalence, varying combinations and associated sociodemographic characteristics of polysubstance use in Jamaica.

METHODS: This study involved a secondary data analysis of the Jamaica National Drug Prevalence Survey 2016 dataset where 4,623 participants between the age of 12 and 65 years from each household were randomly selected as respondents. Statistical analysis was performed to determine the prevalence and the sociodemographic correlates of polysubstance use among Jamaicans.

RESULTS: 19.6% of respondents used two or more drugs in their lifetime. Of this amount 68.7% reported past year use and 61.9% reported past month use. Bivariate analyses reported polysubstance use was statistically significantly higher amongst males (U = 54,579, p = 0.000), those living in rural areas (U = 91,892, p = 0.003), non-Christian (U = 89,514, p = 0.014), and married persons (U = 74,672, p = 0.000). Past month polysubstance use was statistically significantly higher among employed persons than unemployed persons were (U = 81,342, p = 0.001). Surprisingly, there was a lack of significant differences between education level, household income and past month concurrent polysubstance use (p = 0.609; p = 0.115 respectively). Logistic regression model indicated males were 3.076 times more likely than females to report past month polysubstance use than females. Also, when compared to those 55-65 years old, participants 35-54 years were 2.922 times more likely and those 18-34 years were 4.914 times more likely to report past month polysubstance use. Additionally, those living in rural areas were 1.508 times more likely than participants living in urban areas to report past month polysubstance use. As it relates to occupational status, when compared to armed forces, skilled workers were 4.328 times more likely and unskilled workers were 7.146 times more likely to report past month polysubstance use.

CONCLUSIONS: One in five Jamaicans identified as polysubstance users, predominated by marijuana as the most common factor amongst the polysubstance combinations examined, signalling the need for early marijuana interventions.

PMID:35902836 | DOI:10.1186/s12888-022-04160-2

BMC Public Health. 2022 Jul 28;22(1):1437. doi: 10.1186/s12889-022-13870-x.

ABSTRACT

BACKGROUND: COVID-19 related lockdowns may have affected engagement in health behaviours among the UK adult population. This prospective observational study assessed socio-demographic patterning in attempts to change and maintain a range of health behaviours and changes between two time points during the pandemic.

METHODS: Adults aged 18 years and over (n = 4,978) were recruited using Dynata (an online market research platform) and the HealthWise Wales platform, supplemented through social media advertising. Online surveys were conducted in August/September 2020 when lockdown restrictions eased in the UK following the first major UK lockdown (survey phase 1) and in February/March 2021 during a further national lockdown (survey phase 2). Measures derived from the Cancer Awareness Measure included self-reported attempts to reduce alcohol consumption, increase fruit/vegetable consumption, increase physical activity, lose weight and reduce/stop smoking. Multivariable logistic regressions were used to assess individual health behaviour change attempts over time, adjusted for age, sex, ethnicity, employment and education.

RESULTS: Around half of participants in survey phase 1 reported trying to increase physical activity (n = 2607, 52.4%), increase fruit/vegetables (n = 2445, 49.1%) and lose weight (n = 2413, 48.5%), with 19.0% (n = 948) trying to reduce alcohol consumption among people who drink. Among the 738 participants who smoked, 51.5% (n = 380) were trying to reduce and 27.4% (n = 202) to stop smoking completely. Most behaviour change attempts were more common among women, younger adults and minority ethnic group participants. Efforts to reduce smoking (aOR: 0.98, 95% CI: 0.82-1.17) and stop smoking (aOR: 0.98, 95% CI: 0.80-1.20) did not differ significantly in phase 2 compared to phase 1. Similarly, changes over time in attempts to improve other health behaviours were not statistically significant: physical activity (aOR: 1.07; 95% CI: 0.99-1.16); weight loss (aOR: 0.95; 95% CI: 0.90-1.00); fruit/vegetable intake (aOR: 0.98, 95% CI: 0.91-1.06) and alcohol use (aOR: 1.32, 95% CI: 0.92-1.91).

CONCLUSION: A substantial proportion of participants reported attempts to change health behaviours in the initial survey phase. However, the lack of change observed over time indicated that overall motivation to engage in healthy behaviours was sustained among the UK adult population, from a period shortly after the first lockdown toward the end of the second prolonged lockdown.

PMID:35902822 | DOI:10.1186/s12889-022-13870-x

BMC Infect Dis. 2022 Jul 28;22(1):654. doi: 10.1186/s12879-022-07621-x.

ABSTRACT

BACKGROUND: The rapid course of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic calls for fast implementation of clinical trials to assess the effects of new treatment and prophylactic interventions. Building trial platforms embedded in existing data infrastructures is an ideal way to address such questions within well-defined subpopulations.

METHODS: We developed a trial platform building on the infrastructure of two established national cohort studies: the Swiss human immunodeficiency virus (HIV) Cohort Study (SHCS) and Swiss Transplant Cohort Study (STCS). In a pilot trial, termed Corona VaccinE tRiAL pLatform (COVERALL), we assessed the vaccine efficacy of the first two licensed SARS-CoV-2 vaccines in Switzerland and the functionality of the trial platform.

RESULTS: Using Research Electronic Data Capture (REDCap), we developed a trial platform integrating the infrastructure of the SHCS and STCS. An algorithm identifying eligible patients, as well as baseline data transfer ensured a fast inclusion procedure for eligible patients. We implemented convenient re-directions between the different data entry systems to ensure intuitive data entry for the participating study personnel. The trial platform, including a randomization algorithm ensuring balance among different subgroups, was continuously adapted to changing guidelines concerning vaccination policies. We were able to randomize and vaccinate the first trial participant the same day we received ethics approval. Time to enroll and randomize our target sample size of 380 patients was 22 days.

CONCLUSION: Taking the best of each system, we were able to flag eligible patients, transfer patient information automatically, randomize and enroll the patients in an easy workflow, decreasing the administrative burden usually associated with a trial of this size.

PMID:35902817 | DOI:10.1186/s12879-022-07621-x

BMC Infect Dis. 2022 Jul 28;22(1):655. doi: 10.1186/s12879-022-07625-7.

ABSTRACT

BACKGROUND: Although previous epidemiological studies have examined the potential risk factors that increase the likelihood of acquiring Helicobacter pylori infections, most of these analyses have utilized conventional statistical models, including logistic regression, and have not benefited from advanced machine learning techniques.

OBJECTIVE: We examined H. pylori infection risk factors among school children using machine learning algorithms to identify important risk factors as well as to determine whether machine learning can be used to predict H. pylori infection status.

METHODS: We applied feature selection and classification algorithms to data from a school-based cross-sectional survey in Ethiopia. The data set included 954 school children with 27 sociodemographic and lifestyle variables. We conducted five runs of tenfold cross-validation on the data. We combined the results of these runs for each combination of feature selection (e.g., Information Gain) and classification (e.g., Support Vector Machines) algorithms.

RESULTS: The XGBoost classifier had the highest accuracy in predicting H. pylori infection status with an accuracy of 77%-a 13% improvement from the baseline accuracy of guessing the most frequent class (64% of the samples were H. Pylori negative.) K-Nearest Neighbors showed the worst performance across all classifiers. A similar performance was observed using the F1-score and area under the receiver operating curve (AUROC) classifier evaluation metrics. Among all features, place of residence (with urban residence increasing risk) was the most common risk factor for H. pylori infection, regardless of the feature selection method choice. Additionally, our machine learning algorithms identified other important risk factors for H. pylori infection, such as; electricity usage in the home, toilet type, and waste disposal location. Using a 75% cutoff for robustness, machine learning identified five of the eight significant features found by traditional multivariate logistic regression. However, when a lower robustness threshold is used, machine learning approaches identified more H. pylori risk factors than multivariate logistic regression and suggested risk factors not detected by logistic regression.

CONCLUSION: This study provides evidence that machine learning approaches are positioned to uncover H. pylori infection risk factors and predict H. pylori infection status. These approaches identify similar risk factors and predict infection with comparable accuracy to logistic regression, thus they could be used as an alternative method.

PMID:35902812 | DOI:10.1186/s12879-022-07625-7

Brief Bioinform. 2022 Jul 29:bbac287. doi: 10.1093/bib/bbac287. Online ahead of print.

ABSTRACT

Genetic association studies have been very successful at elucidating the genetic background of many complex diseases/traits. However, the X-chromosome is often neglected in these studies because of technical difficulties and the fact that most tools only utilize genetic data from autosomes. In this review, we aim to provide an overview of different practical approaches that are followed to incorporate the X-chromosome in association analysis, such as Genome-Wide Association Studies and Expression Quantitative Trait Loci Analysis. In general, the choice of which test statistics is most appropriate will depend on three main criteria: (1) the underlying X-inactivation model, (2) if Hardy-Weinberg equilibrium holds and sex-specific allele frequencies are expected and (3) whether adjustment for confounding variables is required. All in all, it is recommended that a combination of different association tests should be used for the analysis of X-chromosome.

PMID:35901513 | DOI:10.1093/bib/bbac287

Pain Physician. 2022 Aug;25(5):E733-E738.

ABSTRACT

BACKGROUND: Preoperative exposure to opioids has recently shown to be associated with poor outcomes after elective major surgery, but little is known as to how pretreatment opioid use affects results of interventional back pain management.

OBJECTIVE: We aimed to determine the effect of pretreatment opioid use on outcomes after interventional pain management procedures on patients with chronic back pain.

STUDY DESIGN: A retrospective study.

SETTING: Department of Physical Medicine and Rehabilitation at Satakunta Central Hospital (Satasairaala), Finland.

METHODS: A high-volume, single-center, quality register analysis was performed on patients who underwent interventional pain management for suspected facet-mediated chronic back pain as a part of a multidisciplinary pain management program. Chronic opioid use was defined as having a concurrent opioid prescription for 90 days.

RESULTS: A total of 797 patients underwent an intervention during the study period from August 1, 2019 through December 31, 2020. Pretreatment opioid use was present in 262 patients (33%). Patients with chronic back pain using opioids reported significantly more pain and discomfort before treatment as well as lowered working ability. Facet joint medial branch blocks resulted in significant improvement for both groups directly after the treatment as well as at 2-hours follow-up. However, the nonopioid group reported significantly more improvement at 2-days follow-up as well as at one month follow-up compared to opioid users. Opioid users reported nearly the same pain level at one-month follow-up as they did before treatment.

LIMITATIONS: As a single-center analysis, these data may not be generalizable to other institutions. A retrospective study may include inevitable bias. The disease processes themselves may possibly predispose patients to different degrees of opoid use. Although we have identified preoperative opioid use as a risk factor for treatment failure, we were unable to determine the size of the association based on our statistical analysis and sample size. Pain intensity evaluation using the visual analog scale is inevitably subjective.

CONCLUSION: Pretreatment opioid use is associated with greater pain discomfort, impairment, and reduced functional ability, as well as poorer long-term effect of interventional back pain treatment at one-month follow-up. In our study, opioid users reported the same positive effects of facet joint nerve blocks immediately after the treatment and 2 hours after the treatment, but a significantly smaller effect at one-month follow-up. This could indicate that opioid use may diminish the effects of pain treatments by affecting relearning, behavioral changes, and central pain modulation. These findings may help providers understand the effect of pretreatment opioid use on patient care, and its implications on hospital and societal costs.

PMID:35901484

Pain Physician. 2022 Aug;25(5):E725-E732.

ABSTRACT

BACKGROUND: Adjacent vertebral fracture (AVF) seemed to be a frequent and severe complication in osteoporotic vertebral compression fracture (OVCF) patients receiving percutaneous vertebroplasty or percutaneous kyphoplasty (PKP), resulting in poor long-term outcome and recurrence of pain-related symptoms. Nonetheless, its mechanism remains unclear.

OBJECTIVES: To investigate the potential predictor of AVF after PKP and figure out whether the intervertebral disc plays a role during the process of AVF.

STUDY DESIGN: Retrospective study.

SETTING: Department of Orthopedic, an affiliated hospital of a medical university.

METHODS: Clinical data of OVCF patients receiving PKP were reviewed in our hospital from January 2016 to December 2020. Four hundred and forty-five patients were recruited who met the abovementioned criteria in this study. The clinical data, including age, gender, bone mineral density (BMD), vertebral height, vertebral kyphosis angle, cement volume, cement distribution, as well as adjacent disc degeneration extent, were recorded for each patient. Independent-sample t tests and chi-squared tests were performed to compare these indexes. Bivariate correlation tests and multiple linear regression analyses were performed among potential predictors. Receiver operator characteristic (ROC) analysis and Kaplan-Meier plotter were applied to evaluate the diagnostic efficiency of parameters for predicting the occurrence of AVF.

RESULTS: Patients in both groups gained obvious improvements in symptomatic and radiographic indexes after first PKP. Statistically significant difference (P < 0.05) was only found between 2 groups with respect to BMD, kyphosis angle at last follow-up before second PKP, cement distribution, and disc degeneration grade. The ROC analysis showed that BMD = 15.5° was highly predictive of AVF after PKP (sensitivity, 92.2%; specificity, 24.6%; area under curve, 0.569, P = 0.109). Statistically significant difference of AVF incidence amongst patients with different cement distribution (P = 0.018) and similar trend was also found amongst patients with different disc degeneration (P = 0.000). Statistically significant difference was noted in terms of disc degeneration grade between 2 adjacent discs in AVF group.

LIMITATIONS: The main limitation is the retrospective nature of this study.

CONCLUSIONS: The risk of AVF should be focused, especially when OVCF patients with the following predictors: (1) BMD < -3.45; (2) kyphosis angle at last follow-up > 15.5°; (3) I or II cement distribution; and (4) IV or V disc degeneration. More prophylactic treatment should be prescribed for these patients to avoid the occurrence of AVF.

PMID:35901483