Quality of long standing radiographs assessment of the patella position.

BACKGROUND: The gold standard for evaluating leg alignment is a long leg standing radiograph (LSR). The research states that a correct LSR should have a patella that is centered and facing forward as well as a fibula head superimposition (FHS) with a tibia that is 1/3 larger than the fibula. The purpose of this study was to determine levels of quality for LSR by quantifying and correlating the patella position and fibular head superimposition. METHOD: 741 lower limbs were included using two distinct measurement techniques, we calculated the patella position's (PD) departure from the center of the knee joint (M1 and M2). To measure the inter-rater dependability in assessing PD and FHS, intraclass correlation coefficients were determined. The Bland-Altman approach was used to compare M1 with M2's performance. We created three quality groups based on the average quantity of PD. RESULTS: The mean PD was 3.5 mm for M1 and 4.1 mm for M2, respectively. Three quality categories were created: group A for PD ≤ 5 mm, group B for PD 5-10 mm, and group C for PD of ≥10 mm. Group A takes up 70.9% of the LSR. Interestingly, group A's FHS was 21.3% than the typical value of 1/3. CONCLUSIONS: The patella's center should be centered within a 5 mm range and the fibular head should be 1/5 covered from the tibia. This study is the first to define quantitative metrics based on LSR analysis. LEVEL OF EVIDENCE: Level IV (diagnostic retrospective case series).

Binding potential changes of SERT in patients with depression are associated with remission: A prospective [¹²³I]ß-CIT-SPECT study.

The status of remission in patients with major depressive disorder treated with selective serotonin reuptake inhibitors (SSRIs) is mostly evaluated with clinical rating scales. Morphological correlates of the remission status remain a rare event. Addressing this challenge, we investigated functional correlates of remission by assessment of serotonin and dopamine transporter availability (SERT and DAT) using single-photon emission computed tomography (SPECT). Our purpose was to identify changes in the SERT/DAT binding potential in accordance with the clinical improvement. Nineteen drug-naïve patients with a Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) diagnosis of major depression were included. [¹²³I]2ß-carbomethoxy-3ß-(4-iodophenyl)tropane(ß-CIT) SPECT was obtained from each participant before (baseline) and after 6 weeks (follow-up) of standardized treatment with escitalopram. The [¹²³I]ß-CIT-SPECT recordings were acquired 4 hr (SERT-weighted) and 20-24 hr p.i (DAT-weighted), and binding potentials (˜BPND: baseline, follow-up, and rate of change) were calculated for thalamus, midbrain, pons (SERT), and striatum (DAT). From all study participants, neuropsychiatric symptoms were assessed using Hamilton depression (HAM-D) and Beck Depression Inventory scores. At follow-up, patients were divided into responders and nonresponders (as well as remitters and nonremitters). Compared to nonremitted, remitted patients showed over the course of 6 weeks a significantly higher loss of SERT binding potential in the thalamus (p = .036) and in the midbrain (p = .019). Additionally, the correlation of HAM-D with SERT binding potential in the thalamus showed a trend toward significance (p = .057) with higher HAM-D scores (at baseline) leading to lower SERT binding potential. No significant associations were identified for the analysis of baseline prediction of therapy response with SERT and DAT. Our results suggest that patients who remit from their depressive symptoms under escitalopram are characterized by stronger decreases of SERT, indicating that escitalopram blocking of SERT leads to clinical improvement. Therefore, this study shows that measuring SERT availability with SPECT could be an efficient and applicable technique to illustrate a possible underlying pathophysiology of symptom remission in response to treatment. In addition, the present results could help to stimulate new treatment approaches based on SERT and DAT binding. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Inequality indices to monitor geographic differences in incidence, mortality and fatality rates over time during the COVID-19 pandemic.

BACKGROUND: It is of interest to explore the variability in how the COVID-19 pandemic evolved geographically during the first twelve months. To this end, we apply inequality indices over regions to incidences, infection related mortality, and infection fatality rates. If avoiding of inequality in health is an important political goal, a metric must be implemented to track geographical inequality over time. METHODS: The relative and absolute Gini index as well as the Theil index are used to quantify inequality. Data are taken from international data bases. Absolute counts are transformed to rates adjusted for population size. RESULTS: Comparing continents, the absolute Gini index shows an unfavorable development in four continents since February 2020. In contrast, the relative Gini as well as the Theil index support the interpretation of less inequality between European countries compared to other continents. Infection fatality rates within the EU as well as within the U.S. express comparable improvement towards more equality (as measured by both Gini indices). CONCLUSIONS: The use of inequality indices to monitor changes in geographic inequality over time for key health indicators is a valuable tool to inform public health policies. The absolute and relative Gini index behave complementary and should be reported simultaneously in order to gain a meta-perspective on very complex dynamics.

Schistosoma haematobium infection and environmental factors in Southwestern Tanzania: A cross-sectional, population-based study.

Schistosomiasis is a leading cause of morbidity in Africa. Understanding the disease ecology and environmental factors that influence its distribution is important to guide control efforts. Geographic information systems have increasingly been used in the field of schistosomiasis environmental epidemiology. This study reports prevalences of Schistosoma haematobium infection and uses remotely sensed and questionnaire data from over 17000 participants to identify environmental and socio-demographic factors that are associated with this parasitic infection. Data regarding socio-demographic status and S. haematobium infection were obtained between May 2006 and May 2007 from 17280 participants (53% females, median age = 17 years) in the Mbeya Region, Tanzania. Combined with remotely sensed environmental data (vegetation cover, altitude, rainfall etc.) this data was analyzed to identify environmental and socio-demographic factors associated with S. haematobium infection, using mixed effects logistic regression and geostatistical modelling. The overall prevalence of S. haematobium infection was 5.3% (95% confidence interval (CI): 5.0-5.6%). Multivariable analysis revealed increased odds of infection for school-aged children (5-15 years, odds ratio (OR) = 7.8, CI: 5.9-10.4) and the age groups 15-25 and 25-35 years (15-25 years: OR = 5.8, CI: 4.3-8.0, 25-35 years: OR = 1.6, CI: 1.1-2.4) compared to persons above 35 years of age, for increasing distance to water courses (OR = 1.4, CI: 1.2-1.6 per km) and for proximity to Lake Nyasa (<1 km, OR = 4.5, CI: 1.8-11.4; 1-2 km, OR = 3.5, CI: 1.7-7.5; 2-4 km; OR = 3.3, CI: 1.7-6.6), when compared to distances >4 km. Odds of infection decreased with higher altitude (OR = 0.7, CI: 0.6-0.8 per 100 m increase) and with increasing enhanced vegetation index EVI (OR = 0.2, CI: 0.1-0.4 per 0.1 units). When additionally adjusting for spatial correlation population density became a significant predictor of schistosomiasis infection (OR = 1.3, CI: 1.1-1.5 per 1000 persons/km2) and altitude turned non-significant. We found highly focal geographical patterns of S. haematobium infection in Mbeya Region in Southwestern Tanzania. Despite low overall prevalence our spatially heterogeneous results show that some of the study sites suffer from a considerable burden of S. haematobium infection, which is related to various socio-demographic and environmental factors. Our results could help to design more effective control strategies in the future, especially targeting school-aged children living in low altitude sites and/or crowded areas as the persons at highest need for preventive chemotherapy.

Efficacy and Safety of Approved First-Line Tyrosine Kinase Inhibitor Treatments in Metastatic Renal Cell Carcinoma: A Network Meta-Analysis.

INTRODUCTION: This network meta-analysis aims to deliver an up-to-date, comprehensive efficacy and toxicity comparison of the approved first-line tyrosine kinase inhibitors (TKIs) for metastatic renal cell carcinoma (mRCC) in order to provide support for evidence-based treatment decisions. Previous NMAs of first-line mRCC treatments either predate the approval of all the first-line TKIs currently available or do not include evaluation of safety data for all treatments. METHODS: We performed a systematic literature review and network meta-analysis of phase II/III randomised controlled trials (RCTs) assessing approved first-line TKI therapies for mRCC. A random effects model with a frequentist approach was computed for progression-free survival (PFS) data and for the proportion of patients experiencing a maximum of grade 3 or 4 adverse events (AEs). RESULTS: The network meta-analysis of PFS demonstrated no significant differences between cabozantinib and either sunitinib (50 mg 4/2), pazopanib or tivozanib. The network meta-analysis indicated that in terms of grade 3 and 4 AEs, tivozanib had the most favourable safety profile and was associated with significantly less risk of toxicity than the other TKIs. CONCLUSION: These network meta-analysis data demonstrate that cabozantinib, sunitinib, pazopanib and tivozanib do not significantly differ in their efficacy, but tivozanib is associated with a more favourable safety profile in terms of grade 3 or 4 toxicities. Consequently, the relative toxicity of these first-line TKIs may play a more significant role than efficacy comparisons in treatment decisions and in planning future RCTs.

The Impact of the Opioid Antagonist Naloxone on Experimentally Induced Craving in Nicotine-Dependent Individuals.

OBJECTIVE: Preclinical and clinical findings suggest a substantial association of the endogenous opioid system in nicotine dependence. The present study investigates the possible dose-dependent influence of naloxone, an unspecific opioid-receptor-antagonist, combined with cue exposure on the physiological state, locomotor activity, craving and the hypothalamic-pituitary-adrenal axis in nicotine-dependent humans. METHODS: Twenty nicotine-dependent, outpatient participants were deprived of nicotine for over 4 h, before receiving challenges with naloxone (1.6 mg or 3.2 mg q70 kg IV) or the placebo. Additionally, following drug administration, either smoking-related cues or neutral images were presented. Nicotine withdrawal was monitored by evaluating the following objective signs - skin conductance, heart rate, temperature, respiration, locomotor activity, cortisol, prolactin and ACTH levels as well as craving. RESULTS: With respect to subjective effects, participants administered a higher dosage of naloxone and those who were shown smoking-related cues were significantly less pleased (p = 0.019), felt more depressed (p = 0.033) and thought smoking would make them feel better (p = 0.028) than participants given naloxone and shown neutral cues. Participants given no naloxone but with smoking-related cues felt a higher urge to smoke than participants given naloxone and shown neutral cues (p = 0.042). Naloxone - in both dosages - also decreased the desire and intention to smoke in comparison to placebo. Compared to the placebo group, significantly higher cortisol, prolactin and ACTH values were observed after administration of lower and higher dosage of naloxone followed by smoking-related cues. CONCLUSION: Naloxone influenced nicotine withdrawal and strengthened significantly by cue exposure, both on objective measurement and on craving scales. These findings suggest an involvement of the endogenous opioid system in the development and maintenance of nicotine dependence.

Trichuris trichiura infection and its relation to environmental factors in Mbeya region, Tanzania: A cross-sectional, population-based study.

BACKGROUND: The intestinal nematode Trichuris trichiura is among the most common causes of human infectious disease worldwide. As for other soil-transmitted nematodes, its reproductive success and thus prevalence and intensity of infection in a given area strongly depend on environmental conditions. Characterization of the influence of environmental factors can therefore aid to identify infection hot spots for targeted mass treatment. METHODOLOGY: We analyzed data from a cross-sectional survey including 6234 participants from nine distinct study sites in Mbeya region, Tanzania. A geographic information system was used to combine remotely sensed and individual data, which were analyzed using uni- and multivariable Poisson regression. Household clustering was accounted for and when necessary, fractional polynomials were used to capture non-linear relationships between T. trichiura infection prevalence and environmental variables. PRINCIPAL FINDINGS: T. trichiura infection was restricted to the Kyela site, close to Lake Nyasa with only very few cases in the other eight sites. The prevalence of T. trichiura infection in Kyela was 26.6% (95% confidence interval (CI) 23.9 to 29.6%). Multivariable models revealed a positive association of infection with denser vegetation (prevalence ratio (PR) per 0.1 EVI units = 2.12, CI 1.28 to 3.50) and inverse associations with rainfall (PR per 100 mm = 0.54, CI 0.44 to 0.67) and elevation (PR per meter = 0.89, CI 0.86 to 0.93) while adjusting for age and previous worm treatment. Slope of the terrain was modelled non-linearly and also showed a positive association with T. trichiura infection (p-value p<0.001). CONCLUSION/SIGNIFICANCE: Higher prevalences of T. trichiura infection were only found in Kyela, a study site characterized by denser vegetation, high rainfall, low elevation and flat terrain. But even within this site, we found significant influences of vegetation density, rainfall, elevation and slope on T. trichiura infection. The inverse association of rainfall with infection in Kyela is likely due to the fact, that rainfall in this site is beyond the optimum conditions for egg development. Our findings demonstrate that use of remotely sensed environmental data can aid to predict high-risk areas for targeted helminth control.