Objective: The study aims to identify critical predictors of mortality and evaluate the performance of different artificial intelligence (AI) models among patients with colorectal cancer (CRC). Furthermore, the study also sought to enhance our comprehension of survival outcomes by identifying key predictors and evaluating the accuracy of AI-driven prediction methods for patients with CRC.Methods: The study employed a retrospective-predictive design, using data from the electronic health records of patients with colorectal cancer (CRC) admitted between 2016 and 2023. Among the eight AI models created by the SPSS Modeler version 18.0, the Bayesian network model was the most effective of the eight models in this study.Results: The researchers identified the most relevant variables associated with mortality among patients with CRC through data visualization. The study analysed 1,159 colorectal cancer patients, with 45.7% living up to six years and 54.3% living between seven and 16 years post-diagnosis. The Bayesian network AI model identified stage, age, recurrence, sex, marital status, and smoking status as key predictors. Conclusion: This study model’s structure emphasizes these predictors’ interconnectedness because parent nodes directly connect to child nodes. The model shows how age, smoking status, marital status, cancer stage, and recurrence affect patient survival. The model clarifies these variables’ interactions.

Background: Congenital malaria, defined as the presence of malaria parasites in the peripheral smear of newborns within the first seven days of life, remains an underexplored aspect of malaria epidemiology in endemic regions like Nigeria. This study investigated the prevalence and associated risk factors of congenital malaria at the State Specialist Hospital (SSH), Osogbo, Southwestern Nigeria.Method: This cross-sectional study collected peripheral and cord blood samples from 77 newborns within the first 24 hours of delivery. We examined blood samples for malaria parasites using both light microscopy and malaria rapid diagnostic test (mRDT) kits. A structured research proforma was used to assess various risk factors, including sociodemographic details, gravidity, parity, retroviral status, and malaria prevention measures during pregnancy.Results: The overall prevalence of congenital malaria was 6.5%, with all infants exhibiting congenital malaria also demonstrating cord blood parasitaemia. Maternal malarial parasitaemia emerged as a strong predictive factor (p<0.05), while factors such as maternal retroviral status, intermittent prophylactic therapy, therapeutic antimalarial use, and bednet usage were not significantly associated with congenital malaria (p>0.05).Conclusion: Our study observed a low prevalence of congenital malaria in Osogbo and emphasizes the significance of maternal malarial parasitaemia in predicting the condition. However, there is need for additional multicenter studies to comprehensively determine the prevalence of congenital malaria in Osun State and Nigeria, providing a basis for targeted interventions and healthcare strategies.

Background: Human hemoglobin is a tetrameric metalloporphyrin. The heme part contains iron radicle and porphyrin. The globin part consists of two pairs of amino-acid chains. The absorption spectrum of hemoglobin spans from 250 nm to as high as 2,500 nm, with high coefficients reported in blue and green color zone. The visible absorption spectrum of deoxyhemoglobin has one, while the visible absorption spectrum of oxyhemoglobin shows two peaks. Objective: (1) To study absorption spectrometry of hemoglobin in 420 to 600 nm range; (2) to conduct preclinical experiments to validate a new device and technology based on green color absorption by hemoglobin; (3) to use this new technology and device for phase 1 study in healthy human volunteers for confirmationDesign, material and methods: (1) Checking absorption spectrometry of hemoglobin in venous blood. We measured absorption spectrometry of 25 mother-baby pairs as an observational study. Readings were plotted from 400 nm to 560 nm. These included peaks, flat lines and deeps. Graph tracings of all samples – cord blood and maternal blood – showed similar patterns. (2) Preclinical experiments were set up (a) to correlate the reflection of green light by hemoglobin and concentration of hemoglobin, (b) to correlate concentration of O2 and reflection of green light related to oxyhemoglobin, (c) to correlate concentration of melanin in upper and the hemoglobin in lower layer of tissue phantom and to check the sensitivity of new device with green light for measuring Hb in presence of high levels of melanin, and lastly (d) to check if the new device can measure changes in oxy-hemoglobin and deoxy-hemoglobin, again in presence of high levels of melanin with normal as well as with low levels of hemoglobin. The experiments using bilayer tissue phantom were conducted with horse blood in lower cup as dermal tissue phantom and synthetic melanin in upper layer as epidermal tissue phantom. (3) Phase 1 observational studies following a protocol approved by the institutional review board (IRB) were done in two cohorts. Readings were taken using our device and a commercially available pulse oximeter. In the comparison arm we had Point of Care (POC) Hb test (HemoCu or iSTAT blood test). We had 127 data points of POC Hb test and 170 data points for our device and pulse oximeters. This device uses two wavelengths from the visible spectrum of light and uses reflected light. Light of specific wavelengths is shone on the skin of the individual, and the reflected light is collected as ‘optical signal’. This optical signal – after conversion to electrical signal – is processed and finally analysed with a digital display on the screen. Melanin is accounted using Von Luschan’s chromatic scale (VLS) and a specially designed algorithm. Results: In this set of various preclinical experiments using different concentrations of hemoglobin and melanin, we indeed demonstrated good sensitivity of our device. It could pick up signals from hemoglobin despite high levels of melanin. Our device is a non-invasive device to measure hemoglobin like a pulse oximeter. Results of our device and pulse oximeter were compared with those by POC Hb test like HemoCu and iSTAT. Our device showed better trending linearity and concordance than a pulse oximeter. Since the absorption spectrum of hemoglobin is the same is new-borns and adults, we could develop one device for all age groups and for people of all colors. Furthermore, the light is shone on the wrist of the individual and is then measured. So, in future this device has the potential of being incorporated in a wearable or smart watch technology.

Objective: The goal of this review was to identify decision-analytic modeling studies in early health technology assessments (HTA) of high-risk medical devices, published over the last three years, and to provide a systematic overview of model purposes and characteristics. Additionally, the aim was to describe recent developments in modeling techniques.Methods: For this scoping review, we performed a systematic literature search in PubMed and Embase including studies published in English or German. The search code consisted of terms describing early health technology assessment and terms for decision-analytic models. In abstract and full-text screening, studies were excluded that were not modeling studies for a high-risk medical device or an in-vitro diagnostic test. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram was used to report on the search and exclusion of studies. For all included studies, study purpose, framework and model characteristics were extracted and reported in systematic evidence tables and a narrative summary.Results: Out of 206 identified studies, 19 studies were included in the review. Studies were either conducted for hypothetical devices or for existing devices after they were already available on the market. No study extrapolated technical data from early development stages to estimate potential value of devices in development. All studies except one included cost as an outcome. Two studies were budget impact analyses. Most studies aimed at adoption and reimbursement decisions. The majority of studies were on in-vitro diagnostic tests for personalized and targeted medicine. A timed automata model, to our knowledge a model type new to HTA, was tested by one study. It describes the agents in a clinical pathway in separate models and, by allowing for interaction between the models, can reflect complex individual clinical pathways and dynamic system interactions. Not all sources of uncertainty for in-vitro tests were explicitly modeled. Elicitation of expert knowledge and judgement was used for substitution of missing empirical data. Analysis of uncertainty was the most valuable strength of decision-analytic models in early HTA, but no model applied sensitivity analysis to optimize the test positivity cutoff with regard to the benefit-harm balance or cost-effectiveness. Value-of-information analysis was rarely performed. No information was found on the use of causal inference methods for estimation of effect parameters from observational data.Conclusion: Our review provides an overview of the purposes and model characteristics of nineteen recent early evaluation studies on medical devices. The review shows the growing importance of personalized interventions and confirms previously published recommendations for careful modeling of uncertainties surrounding diagnostic devices and for increased use of value-of-information analysis. Timed automata may be a model type worth exploring further in HTA. In addition, we recommend to extend the application of sensitivity analysis to optimize positivity criteria for in-vitro tests with regard to benefit-harm or cost-effectiveness. We emphasize the importance of causal inference methods when estimating effect parameters from observational data.

Objectives: 10% of all fractures occur in the fingers and metacarpal region. Early mobilization with preservation of grip function is the goal of any therapy for these injuries. Osteosyntheses with plates are used in complex fractures that do not allow any other treatment. The aim of this retrospective study was to evaluate the performance and safety of the Stryker Hand System.Patients and methods: Between 2010 and 2019, 190 patients underwent surgical treatment with plates for fractures of the fingers and metacarpal region. Of these, 140 operations could be analyzed according to the inclusion criteria based on clinical and radiological parameters.Results: Three-quarters of the patients were male. The mean age at the time of surgery was 39.3±16 years. Falling was the leading cause for hand fractures, and the most common were fractures of the shaft (>52%). More than 15% were complex hand injuries with more than one fractured finger. The majority of patients were healthy non-smokers without systemic diseases and relevant medical history.Conclusion: The Stryker Finger Plates are safe implants with good results that are consistent with those reported in the literature. The trend is also toward stable-angle implants for fracture treatment of the finger, in order to enable the earliest possible functional, safe mobilization.Level of Evidence: Level: IV; outcome-study, retrospective

Introduction: This study investigates the runtime and costs of biventricular defibrillators (CRT-D) and biventricular pacemakers (CRT-P). Accurate estimates of cardiac resynchronization therapy (CRT) device runtime across all manufactures are rare, especially for CRT-P.Methods: Health claims data of a large nationwide German health insurance was used to analyze CRT device runtime. We defined device runtime as the time between the date of implantation and the date of generator change or removal. The median costs for implantation, change, and removal of a CRT device were calculated accordingly.Results: In total, the data set comprises 17,826 patients. A total of 4,296 complete runtimes for CRT-D devices and 429 complete runtimes for CRT-P devices were observed. Median device runtime was 6.04 years for CRT-D devices and 8.16 years for CRT-P devices (log-rank test p<0.0001). The median cost of implantation for a CRT-D device was 14,270 EUR, and for a CRT-P device 9,349 EUR.Conclusions: Compared to CRT-P devices, CRT-D devices had a significantly shorter device runtime of about two years. Moreover, CRT-D devices were associated with higher cost. The study provides important findings that can be utilized by cost-effectiveness analyses.

Introduction: Medical quality indicators (QI) are important tools in the evaluation of medical quality. Their development is subject to specific methodological requirements, which include practical applicability. This is especially true for intensive care medicine with its complex processes and their interactions. This methods paper presents the status quo and shows necessary methodological developments for intensive care QI. For this purpose, a cooperation with the Association of the Scientific Medical Societies’ Institute for Medical Knowledge Management (AWMF-IMWi) was established.Methodology: Review of published German manuals for QI development from guidelines and narrative review of quality indicators with a focus on evidence and consensus-based guideline recommendations. Future methodological adaptations of indicator development for improved operationalization, measurability and pilot testing are presented, and a development process is proposed.Results: The development of intensive care quality indicators in Germany is based on an established process. In the future, additional evaluation criteria (QUALIFY criteria) will be applied to assess the evidence base. In addition, a continuous exchange between the national steering committee of the DIVI responsible for QI development and guideline development groups involved in intensive care medicine is planned.Conclusion: Intensive care quality indicators will have to meet improved methodological requirements in the future by means of an improved development process. Future QI development is intended to improve the structure of the development process, with a focus on scientific evidence and a link to guideline projects. This is intended to achieve the goal of a broad application of QI and to further evaluate its relevance for patient outcome and performance of institutions.

Background: Little is known about evaluation practices as well as performance-oriented allocation of resources according to teaching quality at German medical schools. For this reason, the Association of the Scientific Medical Societies in Germany and the German Association of Medical Faculties aimed to analyse current practices at German medical schools.Methods: Data were collected by a questionnaire which was sent to all medical schools in Germany.Results: 30 medical schools with 33 undergraduate medical programs participated in the survey (response rate: 83%). The evaluation tools used at these schools mainly assessed structural and procedural aspects of teaching and were designed to obtain overall student ratings of teaching quality. Evaluation tools were quite heterogeneous across the sample, and some uncertainty remained with regard to the psychometric properties of these tools and whether they meet international quality standards. Various algorithms underlying resource allocation for teaching are being used, but most focus on quantity rather than quality of teaching. Conclusion: A nationwide agreement on a generalizable definition of high-quality teaching is desirable. At the same time, reliable and valid tools measuring teaching quality need to be identified and/or created. This could be accomplished through a wider collaboration of medical schools and could represent an advancement for the allocation of resources for high-quality teaching.

The current gold standard for assessment of most sleep disorders is the in-laboratory polysomnography (PSG). This approach produces high costs and inconveniences for the patients. An accessible and simple preliminary screening method to diagnose the most common sleep disorders and to decide whether a PSG is necessary or not is therefore desirable. A minimalistic type-4 monitoring system which utilized tracheal body sound and actigraphy to accurately diagnose the obstructive sleep apnea syndrome was previously developed. To further improve the diagnostic ability of said system, this study aims to examine if it is possible to perform automated sleep staging utilizing body sound to extract cardiorespiratory features and actigraphy to extract movement features.A linear discriminant classifier based on those features was used for automated sleep staging using the type-4 sleep monitor. For validation 53 subjects underwent a full-night screening at Ulm University Hospital using the developed sleep monitor in addition to polysomnography. To assess sleep stages from PSG, a trained technician manually evaluated EEG, EOG, and EMG recordings. The classifier reached 86.9% accuracy and a Kappa of 0.69 for sleep/wake classification, 76.3% accuracy and a Kappa of 0.42 for Wake/REM/NREM classification, and 56.5% accuracy and a Kappa of 0.36 for Wake/REM/light sleep/deep sleep classification. For the calculation of sleep efficiency (SE), a coefficient of determination r2 of 0.78 is reached. Additionally, subjects were classified into groups of SEs (SE≥40%, SE≥60% and SE≥80%). A Cohen’s Kappa >0.61 was reached for all groups, which is considered as substantial agreement.The presented method provides satisfactory performance in sleep/wake and wake/REM/NREM sleep staging while maintaining a simple setup and offering high comfort. This minimalistic approach may address the need for a simple yet reliable preliminary sleep screening in an ambulatory setting.

Introduction: The shortage of trained manpower in the field of mental health remains a significant obstacle to the treatment of people with mental illnesses in low and middle-income countries. In 2010, a new Master of Science in Integrated Clinical and Community Mental Health (MSc ICCMH) program for non-physician clinicians was established at Jimma University to address this shortage in Ethiopia. This study aimed to assess the competency, satisfaction, and involvement level of graduates of the program.Methods: A cross-sectional study was conducted among the graduates of the program. Data were collected with a semi-structured, self-administered questionnaire that was developed for the study. Responses were recorded on a Likert scale to assess graduates’ competency and satisfaction level. The quantitative data were summarized by descriptive statistics, including means, standard deviations, and frequencies. Qualitative data were transcribed and analyzed thematically.Result: Until June 2015, 32 trainees had graduated from the MSc ICCMH program; 87.5% (n=28) of these graduates participated in the study. Almost all (96.4%, n=27) graduates were working in public institutions. The majority (75%, n=21) were directly engaged in the clinical care of patients. Also, two-thirds of the graduates (67.9%, n=19) were involved in mental health research. All of the graduates felt confident in conducting psychiatric assessments of adults and identifying and managing common mental disorders (100%, n=28). Similarly, 100% (n=28) of the graduates reported that they felt confident in identifying and managing severe mental illnesses.Conclusions: The outcome of the program is a considerable workforce of skilled mental health professionals. The majority of graduates were retained within the public mental health service. Brain drain does not appear to be a challenge among non-physician mental health specialists. The findings on the self-perceived competencies mirror the amount of clinical exposure during the training. With a minimal revision of the curriculum, the level of satisfaction and competencies can be enhanced.