Comparison of the modified Masood's scoring index versus international academy of cytology Yokohama system in the categorization of breast fine needle aspirates.

CONTEXT: The Modified Masood Scoring Index (MMSI) categorizes breast fine needle aspirates into four categories non-proliferative breast diseases (PBD), PBD without atypia, PBD with atypia and carcinoma in situ/carcinoma. The International Academy of Cytology Yokohama System classifies the aspirates into five categories - inadequate, benign, atypical, suspicious, and malignant. Very few studies have been conducted so far to compare the diagnostic accuracy of this system. AIMS: The objectives of the study were to classify breast fine needle aspirates according to the MMSI and IAC Yokohama and assess their risk of malignancy (ROM) and performance parameters. MATERIALS AND METHODS: All breast FNAs received from June 2020 to May 2023 were classified according to the MMSI and IAC Yokohama. Using histopathological diagnosis as the gold standard, ROM and performance parameters were calculated. RESULTS: Out of the 559 breast fine needle aspirates, the histopathological correlation was available for 337 cases. The ROM for non-PBD, PBD without atypia, PBD with atypia and carcinoma in situ/carcinoma categories were 0%, 1.2%, 9.1% and 93%, respectively. The ROM for each of the categories of Yokohama system was 16.6%, 1.1%, 4.3%, 86.2% and 97.6%, respectively. The values for the sensitivity, specificity, PPV, NPV and diagnostic accuracy were slightly higher for IAC Yokohama (97.3%, 97.2%, 94.7%, 98.6% and 97.2%, respectively) than the MMSI (96.4%, 96.2%, 93%, 98.1% and 96.3%, respectively). Furthermore, another shortfall of MMSI is the inability to compare the Inadequate category of the Yokohama system. CONCLUSION: Overall Yokohama system proved to be a better system for categorizing breast lesions on FNAB as the scoring system provides more objective categorization and minimizes false positive and false negative cases.

Predicting high-risk pre-capillary pulmonary hypertension: an echocardiographic multiparameter scoring index.

BACKGROUND: The risk stratification of pulmonary arterial hypertension proposed by the European Society of Cardiology /European Respiratory Society guidelines in 2015 and 2022 included two to three echocardiographic indicators. However, the specific value of echocardiography in risk stratification of pre-capillary pulmonary hypertension (pcPH) has not been efficiently demonstrated. Given the complex geometry of the right ventricular (RV) and influencing factors of echocardiographic parameter, there is no single echocardiographic parameter that reliably informs about PH status. We hypothesize that a multi-parameter comprehensive index can more accurately evaluate the severity of the pcPH. The purpose of this study was to develop and validate an echocardiographic risk score model to better assist clinical identifying high risk of pcPH during initial diagnosis and follow-up. METHODS: We studied 197 consecutive patients with pcPH. A multivariable echocardiographic model was constructed to predict the high risk of pcPH in the training set. Points were assigned to significant risk factors in the final model based on ß-coefficients. We validated the model internally and externally. RESULTS: The echocardiographic score was constructed by multivariable logistic regression, which showed that pericardial effusion, right atrial (RA) area, RV outflow tract proximal diameter (RVOT-Prox), the velocity time integral of the right ventricular outflow tract (TVIRVOT) and S' were predictors of high risk of pcPH. The area under curve (AUC) of the training set of the scoring model was 0.882 (95%CI: 0.809-0.956, p < 0.0001). External validation was tested in a test dataset of 77 patients. The AUC of the external validation set was 0.852. A 10-point score risk score was generated, with scores ranging from 0 to 10 in the training cohort. The estimate risk of high risk of pcPH ranged from 25.1 to 94.6%. CONCLUSIONS: The echocardiographic risk score using five echocardiographic parameters could be comprehensive and useful to predict the high risk of pcPH for initial assessment and follow-up.

Evaluation of ruxolitinib cream 1.5% as an at-home therapy for repigmentation in non-segmental vitiligo.

INTRODUCTION: Vitiligo is a chronic, autoimmune condition characterized by skin depigmentation caused by inflammatory-mediated melanocyte degradation. Treatment of vitiligo is challenging due to the chronic nature of the condition. Ruxolitinib cream 1.5% was recently approved by the Food and Drug Administration (FDA) as a Janus kinase 1 and 2 inhibitor for use in nonsegmental vitiligo for those 12 years and older. AREAS COVERED: The purpose of this review is to describe the role of ruxolitinib in treating nonsegmental vitiligo.We searched PubMed using search terms nonsegmental vitiligo, jak inhibitor, and ruxolitinib. Clinicaltrials.gov was used to identify clinical trial data including efficacy, pharmacodynamics, pharmacokinetics, safety, and tolerability. EXPERT OPINION: In both phase II and phase III (TRuE-V1 and TRuE-V2) trials, ruxolitinib cream 1.5% improved repigmentation with minimal adverse effects. Topical ruxolitinib is a much needed new vitiligo treatment option.  Real life efficacy may not match that seen in clinical trials if the hurdle of poor adherence to topical treatment is not surmounted.

Outcome of Human Parainfluenza Virus infection in allogeneic stem cell transplantation recipients: possible impact of ribavirin therapy.

BACKGROUND: This retrospective study focused on analyzing community-acquired respiratory virus (CARV) infections, in particular human parainfluenza virus (hPIV) after allogeneic stem cell transplant (allo-SCT) in adults recipients. It aimed to assess the impact of ribavirin treatment, clinical characteristics, and risk factors associated with lower respiratory tract disease (LRTD) progression and all-cause mortality. PATIENTS AND METHODS: The study included 230 allo-SCT recipients diagnosed with hPIV between December 2013 and June 2023. Risk factors for the development of LRTD, disease severity, and mortality were analyzed. Ribavirin treatment was administered at physician discretion in 61 out of 230 cases (27%). RESULTS: Risk factors for LRTD progression in multivariate analysis were corticosteroids > 30 mg/day (Odds ratio (OR) 3.5, 95% Confidence Interval (C.I.) 1.3-9.4, p = 0.013), fever at the time of hPIV detection (OR 3.89, 95% C.I. 1.84-8.2, p < 0.001), and absolute lymphocyte count (ALC) < 0.2 × 109/L (OR 4.1, 95% C.I. 1.42-11.9, p = 0.009). In addition, the study found that ribavirin therapy significantly reduced progression to LRTD [OR 0.19, 95% C.I. 0.05-0.75, p = 0.018]. Co-infections (OR 5.7, 95% C.I. 1.4-23.5, p = 0.015) and ALC < 0.2 × 109/L (OR 17.7, 95% C.I. 3.6-87.1, p < 0.001) were independently associated with higher day + 100 after hPIV detection all-cause mortality. There were no significant differences in all-cause mortality and infectious mortality at day + 100 between the treated and untreated groups. CONCLUSION: ALC, corticosteroids, and fever increased the risk for progression to LRTD while ribavirin decreased the risk. However, mortality was associated with ALC and co-infections. This study supports further research of ribavirin therapy for hPIV in the allo-HSCT setting.

Machine learning based multi-method interpretation to enhance dissolved gas analysis for power transformer fault diagnosis.

Accurate interpretation of dissolved gas analysis (DGA) measurements for power transformers is essential to ensure overall power system reliability. Various DGA interpretation techniques have been proposed in the literature, including the Doernenburg Ratio Method (DRM), Roger Ratio Method (RRM), IEC Ratio Method (IRM), Duval Triangle Method (DTM), and Duval Pentagon Method (DPM). While these techniques are well documented and widely used by industry, they may lead to different conclusions for the same oil sample. Additionally, the ratio-based methods may result in an out-of-code condition if any of the used gases fall outside the specified limits. Incorrect interpretation of DGA measurements can lead to mismanagement and may lead to catastrophic consequences for operating power transformers. This paper presents a new interpretation technique for DGA aimed at improving its accuracy and consistency. The proposed multi-method approach employs s scoring index and random forest machine learning principles to integrate existing interpretation methods into one comprehensive technique. The robustness of the proposed method is assessed using DGA data collected from several transformers under various health conditions. Results indicate that the proposed multi-method, based on the scoring index and random forest; offers greater accuracy and consistency than individual conventional interpretation methods alone. Furthermore, the multi-method based on random forest demonstrated higher accuracy than employing the scoring index only.

An Investigation of the Relationship Between the Severity Scoring Index and Laboratory Parameters in Pediatric Patients with Crimean-Congo Hemorrhagic Fever: A 12-Year Retrospective Evaluation.

Background: There are limited studies on the severity of Crimean-Congo hemorrhagic fever (CCHF) in children. The study aimed to investigate the correlation between the severity scoring index (SSI) score and other laboratory parameters in children. Materials and Methods: Patients younger than 18 years of age who were diagnosed with CCHF in 2011-2022 were included in the study. The SSI score and laboratory parameters at the time of admission were taken into consideration. Results: At 12-year follow-up, 81 pediatric patients were diagnosed with CCHF. According to the SSI calculated at the time of admission, 59 (72.8%) patients were in the mild group and 22 (27.2%) patients were in the moderate group. According to Spearman's correlation analysis results, a positive correlation was found between the SSI score and c-reactive protein (CRP) (r = 0.737, p < 0.001), lactate dehydrogenase (r = 0.312, p = 0.010), alanine transaminase to lymphocyte ratio (r = 0.428, p < 0.001), neutrophil to lymphocyte ratio (r = 0.406, p < 0.001), and derived-neutrophil lymphocyte ratio (r = 0.389, p < 0.001). In addition, lymphocyte to c-reactive protein ratio (LCR) (r = -0.782, p < 0.001), lymphocyte count (r = -0.422, p < 0.001), and white blood cell (r = -0.250, p = 0.026) values were negatively correlated with the SSI. Conclusions: A strong correlation (r > 0.7) was found between LCR (r = -0.782) and CRP (r = 0.737) and the SSI.

Functional Outcome of Distal Humerus Fractures Treated With Open Reduction and Internal Fixation With Bicolumnar Plating in a Tertiary Care Setting.

Introduction Fractures of the distal humerus in the adult comprise approximately one-third of all humeral fractures. Over the past 20 years, nonoperative treatment for these fractures has been substituted by anatomic reduction and internal fixation based on the Association for Osteosynthesis (AO)/Association for the Study of Internal Fixation (ASIF) philosophy of plate fixation which resulted in early mobilization and superior performance. Pre-contoured, anatomically designed locking plates are anticipated to offer sufficient stability, permit early elbow range of motion, and safeguard the soft tissue. In comparison to any other joint, the elbow's good anatomical alignment, perfect stability, and early mobilization principles are of utmost significance. Methodology A hospital-based consecutive case series of distal humerus fracture patients managed surgically with bicolumnar plating at R.L. Jalappa Hospital Centre, from June 2021 to June 2022 was chosen. Patients were clinically assessed by measuring the range of motion of the elbow with a goniometer. A six-week post-operative review was the first one. Routine checkups were scheduled every four weeks up until there was evidence of fracture consolidation radiologically. Clinically Mayo Elbow Performance score (MEPS) was analyzed at the end of six-month follow-up and tabulated. Institutional Ethical committee permission was taken prior to the study. Results In the study, 47% of cases had an Excellent MEPS followed by 33% of patients having a good MEPS and 13% having a Fair MEPS rating. Only 7% of patients had poor MEPS. Among the patients, 33.3% had 90 MEPS followed by 16.6% cases had 85 MEPS. Only 2 patients had 55 MEPS in the study. The fracture pattern configuration based on AO classification in our study was C2>C1>C3>A2.3=A3.3. Conclusion Due to an increase in road traffic accidents, complicated distal humeral fractures are becoming more common among younger people. In terms of stability and arc of motion, excellent to good functional outcomes were attained in around 80% of the study group. Because of the extremely stable build system produced by parallel plating, there have been no reported instances of implant failure or non-union.

Multidimensional Machine Learning for Assessing Parameters Associated With COVID-19 in Vietnam: Validation Study.

BACKGROUND: Machine learning (ML) is a type of artificial intelligence strategy. Its algorithms are used on big data sets to see patterns, learn from their results, and perform tasks autonomously without being instructed on how to address problems. New diseases like COVID-19 provide important data for ML. Therefore, all relevant parameters should be explicitly quantified and modeled. OBJECTIVE: The purpose of this study was to determine (1) the overall preclinical characteristics, (2) the cumulative cutoff values and risk ratios (RRs), and (3) the factors associated with COVID-19 severity in unidimensional and multidimensional analyses involving 2173 SARS-CoV-2 patients. METHODS: The study population consisted of 2173 patients (1587 mild status [mild group] and asymptomatic patients, 377 moderate status patients [moderate group], and 209 severe status patients [severe group]). The status of the patients was recorded from September 2021 to March 2022. Two correlation tests, relative risk, and RR were used to eliminate unbalanced parameters and select the most remarkable parameters. The independent methods of hierarchical cluster analysis and k-means were used to classify parameters according to their r values. Finally, network analysis provided a 3-dimensional view of the results. RESULTS: COVID-19 severity was significantly correlated with age (mild-moderate group: RR 4.19, 95% CI 3.58-4.95; P<.001), scoring index of chest x-ray (mild-moderate group: RR 3.29, 95% CI 2.76-3.92; P<.001; moderate-severe group: RR 3.03, 95% CI 2.4023-3.8314; P<.001), percentage of neutrophils (mild-moderate group: RR 3.18, 95% CI 2.73-3.70; P<.001; moderate-severe group: RR 3.32, 95% CI 2.6480-4.1529; P<.001), quantity of neutrophils (moderate-severe group: RR 3.15, 95% CI 2.6153-3.8025; P<.001), albumin (moderate-severe group: RR 0.46, 95% CI 0.3650-0.5752; P<.001), C-reactive protein (mild-moderate group: RR 3.4, 95% CI 2.91-3.97; P<.001), and ratio of lymphocytes (moderate-severe group: RR 0.34, 95% CI 0.2743-0.4210; P<.001). Significant inversion of correlations among the severity groups is important. Alanine transaminase and leucocytes showed a significant negative correlation (r=-1; P<.001) in the mild group and a significant positive correlation in the moderate group (r=1; P<.001). Transferrin and anion Cl showed a significant positive correlation (r=1; P<.001) in the mild group and a significant negative correlation in the moderate group (r=-0.59; P<.001). The clustering and network analysis showed that in the mild-moderate group, the closest neighbors of COVID-19 severity were ferritin and age. C-reactive protein, scoring index of chest x-ray, albumin, and lactate dehydrogenase were the next closest neighbors of these 3 factors. In the moderate-severe group, the closest neighbors of COVID-19 severity were ferritin, fibrinogen, albumin, quantity of lymphocytes, scoring index of chest x-ray, white blood cell count, lactate dehydrogenase, and quantity of neutrophils. CONCLUSIONS: This multidimensional study in Vietnam showed possible correlations between several elements and COVID-19 severity to provide clinical reference markers for surveillance and diagnostic management.

Hard Boundary-Based Neurofeedback Training Procedure: A Modified Fixed Thresholding Method for More Accurate Guidance of Subjects Within Target Areas During Neurofeedback Training.

In nearly all studies within the domain of neurofeedback, a threshold has been defined for each training feature in a way that subjects' status can be evaluated during training according to the given value. In this study, a hard boundary-based neurofeedback training (HBNFT) method based on the determination of decision boundary using support vector machine (SVM) classifier was proposed in which subjects' status were clarified considering a decision boundary and they could also be encouraged once entering a target area. In this method, a scoring index (SI) was similarly defined whose value was determined in accordance with subject performance during training. The results revealed that employing a classifier and determining a decision boundary instead of using a threshold could prove more successful in accurately guiding them towards a target area and also meet no needs to choose a basis for determining a threshold. Moreover, it was likely that the proposed method could be more efficient in controlling features and preventing extreme changes compared to those using variable thresholds.

Characteristics and decreased Vitiligo Area Scoring Index of vitiligo patients with narrowband-UVB phototherapy in Yogyakarta, Indonesia.

Narrowband ultraviolet-B (NB-UVB) phototherapy is the mainstay of vitiligo therapy. The response can be evaluated using the vitiligo area scoring index (VASI) and repigmentation grade. However, few studies used VASI to evaluate phototherapy response and there are no definitive data on the reduction of VASI. This retrospective descriptive study aimed to determine the characteristics and decrease of VASI in patients with vitiligo after 36 and 48 sessions of NB-UVB phototherapy, conducted at Dr. Sardjito General Hospital, Yogyakarta, from December 2021-June 2022. The most common predilection was on the face (71.43%) and acral (61.90%). The most common responses after 36 and 48 phototherapy sessions were minimally improved (decrease in VASI<10%) and improved (reduction in VASI 10-25%). The mean decrease in VASI was 18% and 22% after 36 and 48 phototherapy sessions, respectively. 9.52% and 6.67% of patients experienced a reduction in VASI >50% after 36 and 48 phototherapy sessions, respectively. VASI assessment can be used to evaluate the response to phototherapy in vitiligo. However, VASI cannot show a reduction in vitiligo with slight repigmentation in slow-response patients.

Meaningful Changes in What Matters to Individuals with Vitiligo: Content Validity and Meaningful Change Thresholds of the Vitiligo Area Scoring Index (VASI).

INTRODUCTION: This study explored patients' and dermatologists' priority outcomes for treatment to address, clinical outcome assessments (COA) for use in vitiligo clinical trials, and perceptions of within-patient meaningful change in facial and total body vitiligo. METHODS: Semistructured, individual, qualitative interviews were conducted with patients living with non-segmental vitiligo in the USA and with expert dermatologists in vitiligo. Concept elicitation discussions included open-ended questions to identify patient priority outcomes. Vitiligo COAs were reviewed by dermatologists. Tasks were completed by patients to explore their perceptions of meaningful changes in vitiligo outcomes; dermatologists' opinions were elicited. Data were analyzed using thematic methods; meaningful change tasks were descriptively summarized. RESULTS: Individuals with vitiligo (N = 60) included adults (n = 48, 63% female) and adolescents (n = 12, 67% female). All Fitzpatrick Skin Types were represented. Eight (13%) were first- or second-generation immigrants to the USA. Expert dermatologists (N = 14) participated from the USA (n = 8), EU (n = 4), India (n = 1), and Egypt (n = 1). All individuals with vitiligo reported experiencing skin depigmentation; an observable clinical sign of vitiligo. Most confirmed that lesion surface area (n = 59/60, 98%) and level of pigmentation (n = 53/60, 88%) were important to include in disease assessments. Following an explanation, participants (n = 49/60, 82%) felt that the Facial Vitiligo Area Scoring Index (F-VASI) measurement generally made sense and understood that doctors would use it to assess facial vitiligo. Most participants felt that a 75% (n = 47/59, 80%) or 9 0% improvement in their facial vitiligo would be indicative of treatment success (n = 55/59, 93%). In the context of evaluating a systemic oral treatment for vitiligo, dermatologists perceived a 75% improvement on the F-VASI as successful (n = 9/14, 64%). Regarding the Total VASI (T-VASI) score, n = 30 participants considered 33% improvement as treatment success; an additional n = 10 endorsed 50% improvement and a further n = 5 endorsed 75% improvement. Clinicians most frequently identified 50% (n = 6/14, 43%) or 75% (n = 4/14, 29%) improvement in T-VASI as successful. CONCLUSION: Repigmentation is a priority outcome for patients. The VASI was considered an appropriate tool to assess the extent of vitiligo. A minimum 75% improvement from baseline in the F-VASI and minimum 50% improvement from baseline in the T-VASI were identified as within-patient clinically meaningful thresholds.

Evaluation of the effectiveness of triamcinolone solution diluted with normal saline for the treatment of seborrheic dermatitis.

Background and Aim: Seborrheic dermatitis is a common inflammatory disease for which various treatments have been proposed. The main purpose of this study was to determine the effectiveness of 80-mg Triamcinolone solution diluted with 0.1% normal saline for the treatment of seborrheic dermatitis in adults. Methods: For this study, 120 patients with seborrheic dermatitis were considered. After obtaining written and informed consent, patients were treated with 80 mg of Triamcinolone diluted with 0.1% normal saline. To evaluate the effectiveness of Triamcinolone treatment, the scoring index (SI) and the level of patient satisfaction were evaluated at 2 and 4 weeks after the start of treatment and also 4 weeks after the end of treatment. Results: The results of the study showed that 61.67% (74 patients) were satisfied with "good" to "very good" for the Triamcinolone treatment to seborrheic dermatitis. Based on the findings of the study, it was found that the SI before treatment was equal to 2.45 ± 7.45, which after 2 weeks after treatment, this index decreased by 61.6% (SI: 2.86 ± 1.94). In addition, the SI decreased to 88.6% (SI: 0.85 ± 1.02) after 4 weeks. Conclusion: Considering the high decrease in SI, increasing patient satisfaction and observing a low number of cases with recurrence of the disease by Triamcinolone treatment method, it can be concluded that injection of Triamcinolone 80 mg diluted with 0.1% normal saline can be effective and efficient for the treatment of seborrheic dermatitis.

Development of Condition Assessment Index of Ballast Track Using Ground-Penetrating Radar (GPR).

The condition of the ballast is a critical factor affecting the riding quality and the performance of a track. Fouled ballast can accelerate track irregularities, which results in frequent ballast maintenance requirements. Severe fouling of the ballast can lead to track instability, an uncomfortable ride and, in the worst case, a derailment. In this regard, maintenance engineers perform routine track inspections to assess current and future ballast conditions. GPR has been used to assess the thickness and fouling levels of ballast. However, there are no potent procedures or specifications with which to determine the level of fouling. This research aims to develop a GPR analysis method capable of evaluating ballast fouling levels. Four ballast boxes were constructed with various levels of fouling. GPR testing was conducted using a GSSI (Geophysical Survey Systems, Inc.) device (400, 900, 1600 MHz), and a KRRI (Korea Railroad Research Institute) GPR device (500 MHz), which was developed for ballast tracks. The dielectric permittivity, scattering of the depth (thickness) values, signal strength at the ballast boundary, and area of the frequency spectrum were compared against the fouling level. The results show that as the fouling level increases, the former two variables increase while the latter two decrease. On the basis of these observations, a new integrated parameter, called a ballast condition scoring index (BCSI), is suggested. The BCSI was verified using field data. The results show that the BCSI has a strong correlation with the fouling level of the ballast and can be used as a fouling-level-indicating parameter.

A new neurofeedback training method based on feature space clustering to control EEG features within target clusters.

BACKGROUND: Within the most commonly used neurofeedback training methods, a threshold has been defined for each EEG feature wherein subjects' status during training can be assessed according to the given value. In the present study, a neurofeedback training method based on feature-space clustering was proposed in order to assess subjects' status more accurately. NEW METHOD: Neural gas algorithm was employed for feature space clustering. Then, the clusters were labeled as initial clusters (where the EEG features were placed prior to training) and target (where the EEG features should be shifted towards during training) ones. A scoring index was defined whose value was determined according to subjects' brain activity. This method was simulated in two versions: soft-boundary and hard-boundary based methods. RESULTS: The results of the present simulation showed that the proposed hard-boundary based version could guide the subjects towards the boundaries of the target clusters and even their status would be stabilized in case of too many changes in subjects' EEG features. In the proposed soft-boundary based version, in case of too many changes in training features, the subjects would not be encouraged and they could be guided towards the target boundaries. CONCLUSION: The proposed hard-boundary based version could be effective in guiding a subject towards being placed within the boundaries of target clusters and even beyond them if no specific limits exited for EEG features. As well, the soft-boundary based version could be useful when controlling EEG features within a limit.

Investigation of demographic features, performance, comorbidity status and mortality causes among multiple myeloma patients: real-life data.

BACKGROUND: The demographic characteristics, performance status, frequency of comorbidities and survival rate of patients with multiple myeloma (MM) show variability geographically and different risk scoring systems have been used to assess this population. Here, we present data from a Turkish cohort, focusing on identifying similarities and differences, relative to other reports in the literature. RESEARCH DESIGN AND METHODS: A total of 310 patients diagnosed with MM were enrolled. Their demographic characteristics were investigated retrospectively. For performance assessment; the ECOG-IMWG Myeloma Frailty Score, R-MCI and HCT-SCI scoring indexes were used. PFS and OS periods, as well as the causes of deaths, were determined. RESULTS: The mean age of all study participants was 65 ± 10 years. The mean PFS and OS periods were 24.14± 26.11 and 65.3 ± 4.4 months, respectively. The median R-MCI, CCI and HCT-CI scores were five, four and three points, respectively. Myeloma-related complications were the leading cause of death, with a frequency of 51%. CONCLUSION: Among the scoring systems utilised, R-MCI was more convenient to apply due to its ease of use and practicality. Our study supports the heterogeneous course of myeloma and highlights geographic differences including comorbidities, causes of death and overall survival.

Laryngopharyngeal reflux disease, prevalence and clinical characteristics in ENT department of a tertiary hospital Tanzania.

BACKGROUND: Laryngopharyngeal reflux disease (LPRD) is a condition with nonspecific symptoms and most of times patients present late with advanced disease which may predispose to malignancy. The magnitude and clinical characteristics of this condition are not well known among patients attending Otorhinolaryngology services in Tanzania. MATERIALS AND METHODS: This was a hospital based descriptive cross sectional study, conducted in the wards and clinics of Otorhinolaryngology department of Muhimbili National Hospital. Patients with symptoms of Laryngopharyngeal reflux disease were included in the study. Data was collected using questionnaires and clinical examination forms, were processed and analysed by using SPSS. Results presented in frequency tables, cross tabulations and figures. RESULTS: This study recruited 256 participants among them males were 131(51.2%).The mean age was (41.38 ± 13.94) years. Prevalence of Laryngopharyngeal reflux disease was 18.4% without gender predilection. The commonest symptoms were globus sensation, hoarseness of voice and excessive urge to clear the throat with 95.7%, 88.1% and 83.0% respectively while the most observed signs were thick endolaryngeal mucus, Vocal cord oedema and partial ventricular obliteration with 90.9%, 88.6% and 72.7% respectively. Lying down less than two hours after meal and spices foods consumption were the leading risk factors. Hypertension and Diabetes Mellitus type 2 were the most prevalent co morbid conditions associated with Laryngopharyngeal reflux disease. CONCLUSION: The prevalence of Laryngopharyngeal reflux disease is high among patients attending Otorhinolaryngology services at Muhimbili national hospital. All patients with Laryngopharyngeal reflux disease related symptoms should get thorough evaluation for early diagnosis and treatment.

A Multimodal Approach for the Risk Prediction of Intensive Care and Mortality in Patients with COVID-19.

BACKGROUND: Although several studies have been launched towards the prediction of risk factors for mortality and admission in the intensive care unit (ICU) in COVID-19, none of them focuses on the development of explainable AI models to define an ICU scoring index using dynamically associated biological markers. METHODS: We propose a multimodal approach which combines explainable AI models with dynamic modeling methods to shed light into the clinical features of COVID-19. Dynamic Bayesian networks were used to seek associations among cytokines across four time intervals after hospitalization. Explainable gradient boosting trees were trained to predict the risk for ICU admission and mortality towards the development of an ICU scoring index. RESULTS: Our results highlight LDH, IL-6, IL-8, Cr, number of monocytes, lymphocyte count, TNF as risk predictors for ICU admission and survival along with LDH, age, CRP, Cr, WBC, lymphocyte count for mortality in the ICU, with prediction accuracy 0.79 and 0.81, respectively. These risk factors were combined with dynamically associated biological markers to develop an ICU scoring index with accuracy 0.9. CONCLUSIONS: to our knowledge, this is the first multimodal and explainable AI model which quantifies the risk of intensive care with accuracy up to 0.9 across multiple timepoints.

Comparative efficacy between localized 308-nm excimer light and targeted 311-nm narrowband ultraviolet B phototherapy in vitiligo: A randomized, single-blind comparison study.

BACKGROUND: There are limited data to compare efficacy between recent 308-nm excimer and conventional 311-nm narrowband ultraviolet B (NB-UVB) light in the treatment of vitiligo. OBJECTIVE: To compare efficacy between 308-nm excimer light and 311-nm NB-UVB in patients with symmetrical vitiligo lesions. METHODS: Thirty-six symmetrically paired vitiligo lesions on the same anatomical area were enrolled. One side of the symmetrical lesions was treated with localized 308-nm excimer light, and the opposite side was treated with targeted 311-nm NB-UVB assigned randomly by computer. All lesions were treated with the same protocol, for 48 sessions. Repigmentation was evaluated using Vitiligo Area Scoring Index (VASI) and grading the repigmentation was carried out with three independent investigators. RESULTS: Thirty-six symmetrically vitiligo lesions were randomly treated, one side with 308-nm excimer light and the opposite side with 311-nm NB-UVB. After 48 sessions, a significantly lower VASI score and a higher grade of repigmentation were observed in 308-nm excimer light-treated side (P < .001). Nine lesions (25%) treated with 308-nm excimer light and only five lesions (13.89%) treated with 311-nm NB-UVB achieved excellent repigmentation. The 308-nm excimer light and 311-nm NB-UVB-treated sides rapidly obtained 25% repigmentation within a mean of 19.42 sessions and 26.25 sessions, respectively (P = .002). There was no significant difference in mean cumulative UV dosage (P = .065). Side effect as phototoxicity was similar in both sides (P = .08). CONCLUSION: Localized 308-nm excimer light appears to be more effective and also more rapidly induces repigmentation than targeted 311-nm NB-UVB for treatment of vitiligo.

Evaluating different radiotherapy treatment plans, in terms of critical organ scoring index, conformity index, tumor control probability, and normal tissue complication probability calculations in early glottic larynx carcinoma.

PURPOSE: In this study, it is aimed to compare three different radiotherapy treatment planning techniques in terms of critical organ scoring index (COSI), two different conformity index (CI), tumor control probability (TCP), and normal tissue complication probability (NTCP) calculations in early (T1) glottic larynx carcinoma (T1GL). Furthermore, it is aimed to investigate these parameters compliance with dose-volume histograms (DVH) parameters. MATERIALS AND METHODS: Ten T1GL patients were immobilized in a supine position with a head and neck thermoplastic mask. Treatment plans were created with opposed lateral fields (OLAFs) and intensity-modulated radiation therapy (IMRT) techniques with a total dose of 66 Gy in 33 fraction with 2 Gy/day. IMRT fields were selected as five fields (5IMRT) and seven fields (7IMRT). Dosimetric evaluation of three different treatment plans for T1GL carcinoma was performed in two consequential steps. First step was the assessment of planning target volume (PTV), all organs at risks (OARs), and normal tissue (NT) dose calculations according to given dose constraint directions and comparing the plans via DVH. In the second step, for PTV, the compatibility of DVH data with CIs-TCP was investigated where COSI-NTCP was compared with DVH for OARs. The DVH data were considered as reference in all evaluations. RESULTS: The CIRTOG mean values were significantly closer to 1 with IMRT plans when compared to OLAF plans (P = 0.005). The CIPADDICK mean values revealed that OLAF plans were significantly worse than IMRT plans (P = 0.005). No statistically significant difference was found between all three plans in terms of homogeneity index mean values (P = 0.076). The calculated mean TCP values were significantly better for 7IMRT plans when compared to OLAF and 5IMRT plans (P = 0.007 and P = 0.017, respectively). Both NTCP and COSI evaluations, which is compatible with DVH, significantly favored OLAF plan for spinal cord and 7IMRT for thyroid gland. The COSI evaluations, which are compatible with DVH, significantly favored 7IMRT plan for carotid arteries and 5IMRT plan for NT. CONCLUSION: Our results demonstrated that CIPADDICK-TCP calculations for PTV and COSI-NTCP calculations for OARs were compatible with DVH in T1 GL plans. Therefore, we suggest such parameters as valuable tools for choosing the feasible one among multiple plans and even with different treatment machines.

Soft boundary-based neurofeedback training based on fuzzy similarity measures: A method for learning how to control EEG Signal features during neurofeedback training.

BACKGROUND: Most commonly used neurofeedback training (NFT) methods are able to assist subjects towards an increase/decrease in EEG features. So, it is possible that the enhancement/inhabitation in a subject's EEG features exceed normal limits if the process of changes in brain activity in the subject is very successful. This issue may also bring about a reduction in the effectiveness of NFT. NEW METHOD: A soft boundary-based NFT method was proposed for learning how to control the EEG features during training. According to this method, an initial group was defined within which the training features of subjects' EEG signals were placed prior to training and a target group was considered referring to what the features of the EEG signals should be shifted towards during training. In the course of training, the fuzzy similarity of EEG features of subject towards the target group center was measured and the subject's score was increased if their fuzzy similarity was higher than a threshold. Within this method, an adaptive scoring index (the scores assigned to subjects for each achievement) was defined whose value was determined according to brain activity of the subject. RESULTS: Increase/decrease in large amounts in the training features of subject's EEG could lead to a descending trend in the scores received using the proposed method. COMPARISON WITH EXISTING METHODS: The proposed method may assist subjects to control their EEG signal features within the target group range. CONCLUSION: The proposed method may be able to prevent the side effects of neurofeedback.