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Nevin Manimala Statistics

Automatic soft-tissue analysis on orthodontic frontal and lateral facial photographs based on deep learning

Orthod Craniofac Res. 2024 Jul 5. doi: 10.1111/ocr.12830. Online ahead of print.

ABSTRACT

BACKGROUND: To establish the automatic soft-tissue analysis model based on deep learning that performs landmark detection and measurement calculations on orthodontic facial photographs to achieve a more comprehensive quantitative evaluation of soft tissues.

METHODS: A total of 578 frontal photographs and 450 lateral photographs of orthodontic patients were collected to construct datasets. All images were manually annotated by two orthodontists with 43 frontal-image landmarks and 17 lateral-image landmarks. Automatic landmark detection models were established, which consisted of a high-resolution network, a feature fusion module based on depthwise separable convolution, and a prediction model based on pixel shuffle. Ten measurements for frontal images and eight measurements for lateral images were defined. Test sets were used to evaluate the model performance, respectively. The mean radial error of landmarks and measurement error were calculated and statistically analysed to evaluate their reliability.

RESULTS: The mean radial error was 14.44 ± 17.20 pixels for the landmarks in the frontal images and 13.48 ± 17.12 pixels for the landmarks in the lateral images. There was no statistically significant difference between the model prediction and manual annotation measurements except for the mid facial-lower facial height index. A total of 14 measurements had a high consistency.

CONCLUSION: Based on deep learning, we established automatic soft-tissue analysis models for orthodontic facial photographs that can automatically detect 43 frontal-image landmarks and 17 lateral-image landmarks while performing comprehensive soft-tissue measurements. The models can assist orthodontists in efficient and accurate quantitative soft-tissue evaluation for clinical application.

PMID:38967085 | DOI:10.1111/ocr.12830

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Nevin Manimala Statistics

Knowledge about HIV and Stigmatizing Attitudes of Medical Students in Saudi Arabia Towards Patients with HIV/AIDS: A Cross-Sectional Nationwide Study

Curr HIV Res. 2024 Jul 4. doi: 10.2174/011570162X306347240617192913. Online ahead of print.

ABSTRACT

BACKGROUND: The Human Immunodeficiency Virus (HIV) and the social stigma directed toward patients with HIV are serious public health issues. We aimed to evaluate the HIV knowledge base and stigmatizing attitudes toward patients with HIV among students enrolled in medical schools in Saudi Arabia.

METHODS: This cross-sectional study included students at medical colleges in Saudi Arabia and was conducted between February and March 2023. We used non-random convenience sampling with an online chain referral via a validated Arabic questionnaire composed of 35 questions. Data were analyzed using descriptive and comparative statistics.

RESULTS: A total of 1,213 medical students (women: 56.6%) participated in the study. Students in clinical years had a higher level of HIV knowledge than their pre-clinical colleagues. Logistic regression analysis revealed that participants who gave incorrect answers to questions related to mother-to-child and casual contact HIV transmission had a higher likelihood of harboring a negative attitude towards patients with HIV. Conversely, those who correctly answered queries on prevention and treatment were less likely to have stigmatizing attitudes. A significant proportion of this cohort harbored negative attitudes toward patients with HIV, with the sex and geographic location of participants being significant predictors of negative attitudes.

CONCLUSION: Our data have revealed a significant percentage of medical students in Saudi Arabia to have misconceptions about HIV transmission and prevention, and stigmatizing attitudes toward patients with HIV, indicating a need for targeted interventions to enhance the HIV knowledge base in this population of future caregivers.</p>.

PMID:38967071 | DOI:10.2174/011570162X306347240617192913

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Nevin Manimala Statistics

Impact of reproductive traits on productive life in Iranian Holstein dairy cows

J Anim Breed Genet. 2024 Jul 5. doi: 10.1111/jbg.12888. Online ahead of print.

ABSTRACT

Enhancing reproductive performance is a key strategy to mitigate involuntary culling rates, thereby extending productive life (PL) and ultimately improving profitability in dairy cattle herds. A piecewise Weibull proportional hazards model was used to investigate the effect of several important reproductive traits on PL in Holstein dairy cows. Data comprised 200,747 lactation records from 82,505 cows sired by 1952 bulls across 36 dairy herds. PL was defined as the number of days from the first calving to the last milk record or censoring. The statistical model accounted for the time-dependent fixed effects of changes in herd size, year-season, milk production, fat and protein contents, and the time-independent fixed effect of age at first calving. Herd-year and sire effects were also included as random effects. Reproductive traits include calving traits such as calving ease (CE), calf size (CZ), and calf survival (CS), as well as female fertility traits such as number of inseminations per conception (NI), days from calving to first service (CFS), days from first service to conception (FSC), and days open (DO). All reproductive traits had a significant effect on PL (p < 0.001). Each reproductive trait was analysed separately. The relative risk (RR) of being culled increased as the severity of calving difficulties increased in both primiparous and multiparous cows. Cows that calved small or large calves showed a higher risk of being culled compared with those that calved medium size calves. The increased RR of culling was observed only for primiparous cows that gave birth to dead calves. In addition, cows that required more NI, a longer CFS, FSC, and DO had shorter longevity. These insights can deepen our comprehension of the factors affecting PL and provide information for refining management and breeding strategies, which could lead to increased profitability and sustainability in Iranian dairy farming.

PMID:38967064 | DOI:10.1111/jbg.12888

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Nevin Manimala Statistics

Insular and limbic abnormal functional connectivity in early-stage Parkinson’s disease patients with autonomic dysfunction

Cereb Cortex. 2024 Jul 3;34(7):bhae270. doi: 10.1093/cercor/bhae270.

ABSTRACT

Autonomic symptoms in Parkinson’s disease result from variable involvement of the central and peripheral systems, but many aspects remain unclear. The analysis of functional connectivity has shown promising results in assessing the pathophysiology of Parkinson’s disease. This study aims to investigate the association between autonomic symptoms and cortical functional connectivity in early Parkinson’s disease patients using high-density EEG. 53 early Parkinson’s disease patients (F/M 18/35) and 49 controls (F/M 20/29) were included. Autonomic symptoms were evaluated using the Scales for Outcomes in Parkinson’s disease-Autonomic Dysfunction score. Data were recorded with a 64-channel EEG system. We analyzed cortical functional connectivity, based on weighted phase-lag index, in θ-α-β-low-γ bands. A network-based statistic was used to perform linear regression between Scales for Outcomes in Parkinson’s disease-Autonomic Dysfunction score and functional connectivity in Parkinson’s disease patients. We observed a positive relation between the Scales for Outcomes in Parkinson’s disease-Autonomic Dysfunction score and α-functional connectivity (network τ = 2.8, P = 0.038). Regions with higher degrees were insula and limbic lobe. Moreover, we found positive correlations between the mean connectivity of this network and the gastrointestinal, cardiovascular, and thermoregulatory domains of Scales for Outcomes in Parkinson’s disease-Autonomic Dysfunction. Our results revealed abnormal functional connectivity in specific areas in Parkinson’s disease patients with greater autonomic symptoms. Insula and limbic areas play a significant role in the regulation of the autonomic system. Increased functional connectivity in these regions might represent the central compensatory mechanism of peripheral autonomic dysfunction in Parkinson’s disease.

PMID:38967041 | DOI:10.1093/cercor/bhae270

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Nevin Manimala Statistics

Effects of epidural analgesia at 1 cm cervical dilatation on multiparae: A retrospective cohort study using propensity score-matching

Int J Gynaecol Obstet. 2024 Jul 5. doi: 10.1002/ijgo.15759. Online ahead of print.

ABSTRACT

OBJECTIVE: The aim of the present study was to investigate the effects of epidural analgesia (EA) administered at cervical dilatation of 1 cm on multiparae who underwent vaginal delivery.

METHODS: This propensity score-matched retrospective cohort research was conducted between 2021 and 2022. All the singleton multiparae who had previous successful vaginal deliveries and epidural analgesia during this delivery were screened for eligibility. The primary outcome was the effect of EA on the duration of labor. The main secondary outcomes included the incidence of cesarean delivery and umbilical arterial pH.

RESULTS: This study incorporated 686 multiparae who were divided into two cohorts: EA 1 (cervical dilatation = 1 cm, n = 166) and EA 2 (cervical dilatation >1 cm, n = 520). In the propensity score-matched cohort (including 164 women in each group), there were no statistically significant differences in the incidence of cesarean delivery (4 [2.4%] vs 4 [2.4%], P = 1.000), umbilical arterial pH (7.28 ± 0.06 vs 7.28 ± 0.07, P = 0.550) and other secondary outcomes between the two groups. Based on a comparative assessment of the women who delivered vaginally to the Kaplan-Meier curves and propensity score-matching (including 160 women in each group), there was no statistical significance in the duration of the first, second and third stages of labor (log rank P, P = 0.811; P = 0.413; P = 0.773, respectively).

CONCLUSION: Initiation of epidural analgesia at cervical dilatation of 1 cm in multiparae did not cause adverse effects with regard to the duration of labor, increased cesarean deliveries, and bad neonatal outcomes.

PMID:38967034 | DOI:10.1002/ijgo.15759

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Nevin Manimala Statistics

Use of proxy indicators for automated surveillance of severe acute respiratory infection, the Netherlands, 2017 to 2023: a proof-of-concept study

Euro Surveill. 2024 Jul;29(27). doi: 10.2807/1560-7917.ES.2024.29.27.2300657.

ABSTRACT

BackgroundEffective pandemic preparedness requires robust severe acute respiratory infection (SARI) surveillance. However, identifying SARI patients based on symptoms is time-consuming. Using the number of reverse transcription (RT)-PCR tests or contact and droplet precaution labels as a proxy for SARI could accurately reflect the epidemiology of patients presenting with SARI.AimWe aimed to compare the number of RT-PCR tests, contact and droplet precaution labels and SARI-related International Classification of Disease (ICD)-10 codes and evaluate their use as surveillance indicators.MethodsPatients from all age groups hospitalised at Leiden University Medical Center between 1 January 2017 up to and including 30 April 2023 were eligible for inclusion. We used a clinical data collection tool to extract data from electronic medical records. For each surveillance indicator, we plotted the absolute count for each week, the incidence proportion per week and the correlation between the three surveillance indicators.ResultsWe included 117,404 hospital admissions. The three surveillance indicators generally followed a similar pattern before and during the COVID-19 pandemic. The correlation was highest between contact and droplet precaution labels and ICD-10 diagnostic codes (Pearson correlation coefficient: 0.84). There was a strong increase in the number of RT-PCR tests after the start of the COVID-19 pandemic.DiscussionAll three surveillance indicators have advantages and disadvantages. ICD-10 diagnostic codes are suitable but are subject to reporting delays. Contact and droplet precaution labels are a feasible option for automated SARI surveillance, since these reflect trends in SARI incidence and may be available real-time.

PMID:38967016 | DOI:10.2807/1560-7917.ES.2024.29.27.2300657

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Nevin Manimala Statistics

Initial combination therapy with macitentan and tadalafil in patients with pulmonary arterial hypertension, with and without cardiac comorbidities

Eur J Heart Fail. 2024 Jul 5. doi: 10.1002/ejhf.3319. Online ahead of print.

ABSTRACT

AIMS: According to current guidelines, initial monotherapy should be considered for pulmonary arterial hypertension (PAH) patients with cardiopulmonary comorbidities. This analysis of combined data from the TRITON and REPAIR clinical trials, assesses efficacy and safety of initial double combination therapy in patients without vs. with 1-2 cardiac comorbidities.

METHODS AND RESULTS: Data were combined for patients from TRITON (NCT02558231) and REPAIR (NCT02310672) on initial macitentan and tadalafil double combination therapy (overall set, n = 148) and two subgroups defined as patients without cardiac comorbidities (n = 62) and those with 1-2 cardiac comorbidities (n = 78). Patients with ≥3 comorbidities were excluded from these studies. For the overall set, the median (Q1-Q3) duration of combined macitentan and tadalafil exposure was 513.0 (364.0-778.0) days, and was similar between subgroups. Change from baseline to Week 26 for pulmonary vascular resistance was -55% and -50% for patients without and with 1-2 cardiac comorbidities, respectively; marked improvements in other hemodynamic and functional parameters were also observed, although functional parameters improved to a lesser extent in patients with comorbidities. At Week 26, the majority of patients had improved PAH risk status, according to the non-invasive four-strata and REVEAL Lite 2.0 methods. The safety profile of initial macitentan plus tadalafil combination therapy was consistent with the known profiles of the two drugs, and similar between the subgroups.

CONCLUSIONS: Initial double combination therapy with macitentan plus tadalafil is efficacious in patients with PAH with 1-2 cardiac comorbidities and those without, with similar safety and tolerability profiles between the two groups.

PMID:38966990 | DOI:10.1002/ejhf.3319

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Nevin Manimala Statistics

Identification of the binding proteins of organic acid metabolites by matrix thermal shift assay

Se Pu. 2024 Jul;42(7):702-710. doi: 10.3724/SP.J.1123.2023.07002.

ABSTRACT

Organic acid metabolites exhibit acidic properties. These metabolites serve as intermediates in major carbon metabolic pathways and are involved in several biochemical pathways, including the tricarboxylic acid (TCA) cycle and glycolysis. They also regulate cellular activity and play crucial roles in epigenetics, tumorigenesis, and cellular signal transduction. Knowledge of the binding proteins of organic acid metabolites is crucial for understanding their biological functions. However, identifying the binding proteins of these metabolites has long been a challenging task owing to the transient and weak nature of their interactions. Moreover, traditional methods are unsuitable for the structural modification of the ligands of organic acid metabolites because these metabolites have simple and similar structures. Even minor structural modifications can significantly affect protein interactions. Thermal proteome profiling (TPP) provides a promising avenue for identifying binding proteins without the need for structural modifications. This approach has been successfully applied to the identification of the binding proteins of several metabolites. In this study, we investigated the binding proteins of two TCA cycle intermediates, i.e., succinate and fumarate, and lactate, an end-product of glycolysis, using the matrix thermal shift assay (mTSA) technique. This technique involves combining single-temperature (52 ℃) TPP and dose-response curve analysis to identify ligand-binding proteins with high levels of confidence and determine the binding affinity between ligands and proteins. To this end, HeLa cells were lysed, followed by protein desalting to remove endogenous metabolites from the cell lysates. The desalted cell lysates were treated with fumarate or succinate at final concentrations of 0.004, 0.04, 0.4, and 2 mmol/L in the experimental groups or 2 mmol/L sodium chloride in the control group. Considering that the cellular concentration of lactate can be as high as 2-30 mmol/L, we then applied lactate at final concentrations of 0.2, 1, 5, 10, and 25 mmol/L in the experimental groups or 25 mmol/L sodium chloride in the control group. Using high-sensitivity mass spectrometry coupled with data-independent acquisition (DIA) quantification, we quantified 5870, 5744, and 5816 proteins in succinate, fumarate, and lactate mTSA experiments, respectively. By setting stringent cut-off values (i.e., significance of changes in protein thermal stability (p-value)<0.001 and quality of the dose-response curve fitting (square of Pearson’s correlation coefficient, R2)>0.95), multiple binding proteins for these organic acid metabolites from background proteins were confidently determined. Several known binding proteins were identified, notably fumarate hydratase (FH) as a binding protein for fumarate, and α-ketoglutarate-dependent dioxygenase (FTO) as a binding protein for both fumarate and succinate. Additionally, the affinity data for the interactions between these metabolites and their binding proteins were obtained, which closely matched those reported in the literature. Interestingly, ornithine aminotransferase (OAT), which is involved in amino acid biosynthesis, and 3-mercaptopyruvate sulfurtransferase (MPST), which acts as an antioxidant in cells, were identified as lactate-binding proteins. Subsequently, an orthogonal assay technique developed in our laboratory, the solvent-induced precipitation (SIP) technique, was used to validate the mTSA results. SIP identified OAT as the top target candidate, validating the mTSA-based finding that OAT is a novel lactate-binding protein. Although MPST was not identified as a lactate-binding protein by SIP, statistical analysis of MPST in the mTSA experiments with 10 or 25 mmol/L lactate revealed that MPST is a lactate-binding protein with a high level of confidence. Peptide-level empirical Bayes t-tests combined with Fisher’s exact test also supported the conclusion that MPST is a lactate-binding protein. Lactate is structurally similar to pyruvate, the known binding protein of MPST. Therefore, assuming that lactate could potentially occupy the binding site of pyruvate on MPST. Overall, the novel binding proteins identified for lactate suggest their potential involvement in amino acid synthesis and redox balance regulation.

PMID:38966978 | DOI:10.3724/SP.J.1123.2023.07002

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Nevin Manimala Statistics

The relationship between self-compassion and caring behaviour in nurses: A cross-sectional study

Int Nurs Rev. 2024 Jul 5. doi: 10.1111/inr.13017. Online ahead of print.

ABSTRACT

AIM: To examine the relationship between self-compassion and caring behaviour in nurses.

BACKGROUND: Self-compassion can influence nurses’ ability to cope with stress and their job performance. High levels of self-compassion may play a role in nurses’ coping with compassion fatigue and burnout. This may make the concept of self-compassion in nurses an important variable for effective care.

METHODS: This is a cross-sectional study. Study data were collected between March and May 2022 from 331 nurses at a hospital in the city of Antalya, Turkey. A personal information form, the Self-Compassion Scale (SCS), and the Caring Behaviour Inventory-24 (CBI-24) were used to collect data, and the program SPSS 23.0 was used in data evaluation. Descriptive statistical methods, Pearson correlation analysis and multiple linear regression analysis were used in the analysis of data. The STROBE checklist was followed for this cross-sectional study.

RESULTS: The nurses’ mean scores were 3.50 ± 0.61 on SCS and 5.21 ± 0.56 on CBI-24. A positive correlation was found between the nurses’ self-compassion levels and caring behaviour. Also, the SCS sub-dimension of mindfulness, working in intensive care and working willingly in the nursing profession significantly predicted caring behaviour. These variables explain 19.4% of the variance of caring behaviour.

CONCLUSIONS: The nurses’ self-compassion levels were medium and their caring behaviour was at a high level, and caring behaviour was higher in those who worked in intensive care, those who were working willingly in the nursing profession, and in those with high scores on the self-compassion sub-dimension of mindfulness.

IMPLICATIONS FOR NURSING AND HEALTH POLICY: It is important to strengthen nurses’ self-compassion skills to develop their caring behaviour. In particular, giving nurses in clinics mindfulness-based education will help them to increase their awareness concerning their own lives and to develop their caring behaviour.

PMID:38966966 | DOI:10.1111/inr.13017

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Nevin Manimala Statistics

Re-treatment with [177Lu]Lu-DOTA-TATE or [177Lu]Lu-DOTA-TATE and [90Y]Y-DOTA-TATE of patients with progressive neuroendocrine neoplasm

Nucl Med Rev Cent East Eur. 2023;26(0):143-152. doi: 10.5603/nmr.96672.

ABSTRACT

BACKGROUND: Neuroendocrine neoplasms (NENs) are heterogeneous groups of tumours derived from neuroendocrine cells of the ectoderm or endoderm. They are considered rare, with an estimated incidence and prevalence of 6/100,000 and 35/100,000 respectively, and a noticeable upward trend. Radioligand therapy (RLT) using beta-radiation-emitters combined with somatostatin analogues is an effective and relatively safe treatment method. It is usually used as a second-line therapy in case of progressive disease.

MATERIAL AND METHODS: In retrospective analysis covering eight years of observation (2015-2023) of patients treated in a single highest-reference NEN centre, a subgroup of 13 who received RLT re-treatment (¹⁷⁷Lu or ¹⁷⁷Lu/⁹⁰Y-mixture) was identified. Epidemiological aspects, renal, hepatic, haematological parameters and chromogranin A serum concentration were analysed.

RESULTS: The median PFS after the first cycle of RLT was 53.8 months (IQR = 19.3). Directly after the second cycle of RLT disease stabilization and progression was observed in 11/13 (84.6%) and 2/13 (15.4%) patients respectively. After the second cycle of RLT median observation time for the study group was 16.2 months. Eight out of 13 patients were reachable for long-term observation and stabilization was confirmed in 62.5 % (5/8), progression in 12.5% (1/8) and death in 25% (2/8) patients. Median survival time in patients with confirmed death was 7 months. During observation, an increase in creatinine concentration with a decrease in glomerular filtration rate (GFR) was noticed, however, the values were at a statistical trend level (p = 0.056; p = 0.071). The increase of liver parameters was statistically, but not clinically significant. The decrease in albumin concentration and fasting glucose concentration were not significant. An increase in chromogranin A concentration correlated, although not statistically, with the progression of the disease. A statistically significant decrease in the number of all bone marrow cell lines was observed. The first RLT cycle caused a higher decrease in blood parameters than the second. There were no differences in PFS or laboratory parameters depending on the radioligand ([¹⁷⁷Lu]Lu-DOTA-TATE vs. [¹⁷⁷Lu]Lu-DOTA-TATE/[⁹⁰Y]Y-DOTA-TATE).

CONCLUSIONS: In follow-up after RLT re-treatment stabilization was observed in 62.5%, progression in 12.5% and death in 25% of patients. Decrease of glomerular filtration, and bone marrow parameters resulted from the cumulative adverse effect of RLT, the natural ageing process, and the progression of the disease. Side effects were mainly caused by the first treatment cycle. There was no significant influence on the measured parameters, depending on the radioisotope used. Re-treatment of RLT seems to be a reliable and relatively safe method, thus should be considered in patients who underwent one cycle of RLT and responded to the treatment.

PMID:38966954 | DOI:10.5603/nmr.96672