Toward Water Conservation Society:the Connotationand Assessment Indication System

Water saving and developing water conservation society are the two key strategies both for wise water allocation and sustainable utilization. The paper analyses the connotation of water saving and water conservation society. Essentially, water saving means freeing up water from non-beneficial uses and providing it to some more productive uses. Basic principles for setting indicator are presented by providing efficient use of water, considering social issues and ecological protection. An integrated assessing water saving system aiming at more sustainable and efficient consumption is given considering unbalanced social and economic development in regions and basins. The hierarchy indicator system provides qualified tools to the practice of water conservation and evaluates the value for water conservation society construction.

Indication and surgical approach for reconstruction with endoprosthesis in bone-associated soft tissue sarcomas:Appropriate case management is vital

It is important for surgeons performing sarcoma surgery to know that bone resection and tumor prosthesis applications in soft tissue sarcomas(STS)have unique features in terms of indication,surgical approach and follow-up,in terms of the management of these cases.Some STS are associated with bone and major neurovascular structures.Bone-associated STS are generally relatively large and relatively deep-seated.Additionally,the tendency for metastasis is high.In some cases,the decision about which structures to resect is difficult.These cases are often accompanied by poor oncological and surgical outcomes.Management of cases should be done by a multidisciplinary team in advanced centers specialized in this field.The surgical team must have sufficient knowledge and experience in the field of limb-sparing surgery.Preoperative evaluation and especially good planning of bone and soft tissue reconstruction are vital.

Retrospective analysis based on a clinical grading system for patients with hepatic hemangioma:A single center experience

BACKGROUND The optimal approach for managing hepatic hemangioma is controversial.AIM To evaluate a clinical grading system for management of hepatic hemangioma based on our 17-year of single institution experience.METHODS A clinical grading system was retrospectively applied to 1171 patients with hepatic hemangioma from January 2002 to December 2018.Patients were classified into four groups based on the clinical grading system and treatment:(1)Observation group with score<4(Obs score<4);(2)Surgical group with score<4(Sur score<4);(3)Observation group with score≥4(Obs score≥4);and(4)Surgical group with score≥4(Sur score≥4).The clinico-pathological index and outcomes were evaluated.RESULTS There were significantly fewer symptomatic patients in surgical groups(Sur score≥4 vs Obs score≥4,P<0.001;Sur score<4 vs Obs score<4,χ^(2)=8.60,P=0.004;Sur score≥4 vs Obs score<4,P<0.001).The patients in Sur score≥4 had a lower rate of in need for intervention and total patients with adverse event than in Obs score≥4(P<0.001;P<0.001).Nevertheless,there was no significant difference in need for intervention and total patients with adverse event between the Sur score<4 and Obs score<4(P>0.05;χ^(2)=1.68,P>0.05).CONCLUSION This clinical grading system appeared as a practical tool for hepatic hemangioma.Surgery can be suggested for patients with a score≥4.For those with<4,follow-up should be proposed.

Development of Spectral Features for Monitoring Rice Bacterial Leaf Blight Disease Using Broad-Band Remote Sensing Systems

As an important rice disease, rice bacterial leaf blight (RBLB, caused by the bacterium Xanthomonas oryzae pv.oryzae), has become widespread in east China in recent years. Significant losses in rice yield occurred as a result ofthe disease’s epidemic, making it imperative to monitor RBLB at a large scale. With the development of remotesensing technology, the broad-band sensors equipped with red-edge channels over multiple spatial resolutionsoffer numerous available data for large-scale monitoring of rice diseases. However, RBLB is characterized by rapiddispersal under suitable conditions, making it difficult to track the disease at a regional scale with a single sensorin practice. Therefore, it is necessary to identify or construct features that are effective across different sensors formonitoring RBLB. To achieve this goal, the spectral response of RBLB was first analyzed based on the canopyhyperspectral data. Using the relative spectral response (RSR) functions of four representative satellite or UAVsensors (i.e., Sentinel-2, GF-6, Planet, and Rededge-M) and the hyperspectral data, the corresponding broad-bandspectral data was simulated. According to a thorough band combination and sensitivity analysis, two novel spectralindices for monitoring RBLB that can be effective across multiple sensors (i.e., RBBRI and RBBDI) weredeveloped. An optimal feature set that includes the two novel indices and a classical vegetation index was formed.The capability of such a feature set in monitoring RBLB was assessed via FLDA and SVM algorithms. The resultdemonstrated that both constructed novel indices exhibited high sensitivity to the disease across multiple sensors.Meanwhile, the feature set yielded an overall accuracy above 90% for all sensors, which indicates its cross-sensorgenerality in monitoring RBLB. The outcome of this research permits disease monitoring with different remotesensing data over a large scale.

The Impact of Health Information Technology on Hospital Performance: A Systematic Integrative Literature Review

Objective: To review, categorise, and synthesise findings from literature on health information technology (HIT) functionalities, HIT use, and the impact of HIT on hospital performance. Materials and Methods: We conducted a systematic integrative literature review based on a compre-hensive database search. To organise, categorise and synthesise the ex-isting literature, we adopted the affordance actualization theory. To align the literature with our research framework, we used four categories: 1) the functionalities of HIT and how these functionalities are measured;2) use and immediate outcomes of HIT functionalities;3) different perfor-mance indicators and how HIT functionalities affect them;and 4) what hospital characteristics influence the outcome of hospital performance. Results: Fifty-two studies were included. We identified four types of HIT. Only ten studies (19.2%) define the use of HIT by explicitly meas-uring the use rate of HIT. We identified five dimensions of hospital per-formance indicators. Every dimension showed mixed results;however, in general, HIT has a positive impact on mortality and patient readmis-sions. We found several hospital characteristics that may affect the rela-tionship between HIT and hospital-level outcomes. Discussion: Further efforts should focus on embedded research on HIT functionalities, use and effects of HIT implementations with more performance indicators and adjusted for hospital characteristics. Conclusion: The proposed framework could help hospitals and researchers make decisions regard-ing the functionalities, use and effects of HIT implementation in hospi-tals. Given our research outcomes, we suggest future research opportuni-ties to improve understanding of how HIT affects hospital performance. .

Vulvectomy: Indications and Results in the General Surgery Department of the Ignace Deen Chu Hospital in Conakry

Introduction: The aim of this study was to report the indications and evaluate the results of vulvectomy in the general surgery department of Ignace Deen Hospital, CHU Conakry. Materials and Methods: This was a retrospective descriptive study, conducted over a period of five (05) years from January 1, 2018 to December 31, 2022, in the general surgery department of Ignace Deen Hospital, CHU Conakry. We included in our study all patient records in whom vulvectomy was performed. Results: We recorded 15 cases of vulvectomy out of 453 perineal surgeries, i.e. 3.31%, with a mean age of 43.56 years and extremes of 35 and 69 years. Vulvar cancer was the most common diagnosis (46.67%), followed by Buschke-Lowenstein (33.33%) and anal canal cancer extending to the vulva (20%). Six patients had undergone biopsy (40%). Vulvectomy with lymph node dissection was performed in only 9 patients (60%), and all surgical specimens were sent to anatomical pathology (100%). Conclusion: Vulvectomy is a surgical technique most often indicated for the treatment of vulvar cancer.

Splenectomy: Indications in the General Surgery Department of Ignace Deen Hospital

Introduction: Splenectomy is the surgical removal of the spleen. It can be performed during various pathologies, ranging from abdominal trauma to hemoglobinopathies. The progress made in the knowledge of the immune functions of the spleen and the fear of post-splenectomy infectious complications have favored the development of surgical or non-surgical splenic preservation techniques calling into question the dogma of splenectomy. The aim of this study was to determine the indications for splenectomy. Methodology: This was a retrospective, descriptive study lasting 5 years in the general surgery department of the Ignace Deen National Hospital. All files of splenectomized patients were included, our variables were clinical, therapeutic and progressive. Results: We collected 42 cases of splenectomies out of the 2478 surgical procedures performed, representing 1.7% of the department’s surgical activities. The average age was 44 years. The age group of 41 to 50 years was the most represented, i.e. 26% (n = 11) of cases. Sex ratio = 1. Abdominal pain was the reason for consultation in patients, i.e. 100% (n = 42) of cases. The antecedents were dominated by recurrent malaria with 52.3% (n = 22) of cases, then recurrent anemia in 21% (n = 9), and 16.7% (n = 7) had sickle cell disease. Splenomegaly was found in 31 patients, or 73.6%. Ultrasound was performed in all patients. The indications for splenectomy were: isolated splenomegaly with risk of rupture (38%, n = 16), hypersplenism (26%, n = 11) and trauma to the spleen (19.04%, n = 8). Total splenectomy was performed in all cases. The surgical consequences were favorable in 85.7%, (n = 36) with morbidity of 14% (n = 6) and mortality of 9.52% (n = 4). The average length of hospitalization was 10.4 days with extremes of 1 and 22 days. Conclusion: Splenectomy constitutes a relatively common surgical procedure in our context. The indications for splenectomy were isolated splenomegaly with risk of rupture, hypersplenism and trauma to the spleen and total splenectomy was the rule.

Thyroidectomy: Frequency and Indications in the General Surgery Department of the Hôpital National Ignace Deen/CHU de Conakry

Introduction: Thyroidectomy is a surgical procedure to remove all or part of the thyroid gland. The aim of this study was to report the results of thyroidectomy in the general surgery department of the Hôpital national Ignace Deen/CHU de Conakry. Methodology: This was a retrospective study, of seven (07) years (January 1, 2016 - August 31, 2023), in the General Surgery Department of the Ignace Deen National Hospital-CHU in Conakry. We included all records of patients admitted and operated on for thyroidectomy and with up-to-date medical records. The variables were epidemiological, clinical and therapeutic. Results: During the study period, we recorded 3221 cases of surgery, including 40 thyroidectomies (1.24% of cases). The average age was 42.4 years. Women were the most represented, with a sex ratio of 0.16. The reason for consultation was anterior cervical swelling in 86% (n = 25) of cases, followed by signs of cervical compression 21% (n = 6) and signs of thyrotoxicosis 31% (n = 9). Indications for thyroidectomy were dominated by homogeneous goitres in 69% (n = 20) of cases, basedow’s disease in 20.7% (n = 6) and nodular goitres in 6.9% (n = 2) of cases. The surgical procedures were lobo-isthmectomies in 72.4% (n = 21), subtotal thyroidectomies 13.8% (n = 4), total thyroidectomies 10.3% (n = 3). Postoperative follow-up was straightforward in 69% (n = 20). Complications included haemorrhage in 20.7% (n = 6) and recurrence in 6.9% (n = 2). The average hospital stay was 7 days. Conclusion: Thyroidectomy is a relatively frequent surgical procedure in our department. Indications are dominated by homogeneous goitres. Morbidity is related to hemorrhage. Rigorous hemostasis could improve the quality of thyroidectomy.

Development and Application of Integrated Indicators for Assessing Healthcare Waste Management Systems in Kenyan Hospitals

Healthcare waste management (HCWM) is an important aspect of healthcare delivery globally because of its hazardous and infectious components that have potential for adverse health and environmental impacts. The paper introduces a set of indicators for assessing HCWM systems in hospitals. These indicators are: HCWM policies and standard operating procedures, management and oversight, logistics and budget support, training and occupational health and safety, and treatment, disposal and waste treatment equipment housing. By plotting a mark on a continuum which is defined as good and poor on the extremes and is connected with all other marks in a spoke arrangement, it’s possible to describe a baseline for HCWM in any specific hospital. This baseline can be used to improve awareness of the actors and policy-makers, compare the same hospital at a different point in time, to compare observations by different evaluators and to track improvements. Results suggest that in Kenya, the application of such indicators is useful for evaluating which priorities should be addressed to improve outcomes in HCWM systems. Systematic sampling technique was used to identify and collect data by use of observational checklist, interviews, visual verification and review of documents and a HCWM assessment tool. The objective is to suggest an integrated management tool as a method to identify prevailing problems with a HCWM system. The method can be replicated in other contexts worldwide, with a focus on the developing world. The integrated indicators focus on management of HCW and not its potential impact on human health and environment, an area recognized to be critical for future research.

Geographical Indication Intellectual Property Protection and Regional Public Brand Construction of Rape Industry in China

As China s largest oil crop,rape occupies a central position in ensuring the safety of China s cooking oil supply.This paper introduced China s rapeseed industry from the rape type,rapeseed production,planting area,national rapeseed production protected area,rape national dominant characteristic industrial clusters,and rapeseed industry,etc.Besides,from the aspects of geographical indication products,geographical indication trademarks,and geographical indications of agricultural products,this paper discussed the intellectual property protection of geographical indications of rape,rapeseed,and rapeseed oil in China.It analyzed the main problems such as the lag in the formulation of relevant standards for geographical indications and the low use of special signs for geographical indications,and finally came up with recommendations including building a public brand of geographical indications and expanding foreign exchanges of geographical indications.

Few-shot working condition recognition of a sucker-rod pumping system based on a 4-dimensional time-frequency signature and meta-learning convolutional shrinkage neural network

The accurate and intelligent identification of the working conditions of a sucker-rod pumping system is necessary. As onshore oil extraction gradually enters its mid-to late-stage, the cost required to train a deep learning working condition recognition model for pumping wells by obtaining enough new working condition samples is expensive. For the few-shot problem and large calculation issues of new working conditions of oil wells, a working condition recognition method for pumping unit wells based on a 4-dimensional time-frequency signature (4D-TFS) and meta-learning convolutional shrinkage neural network (ML-CSNN) is proposed. First, the measured pumping unit well workup data are converted into 4D-TFS data, and the initial feature extraction task is performed while compressing the data. Subsequently, a convolutional shrinkage neural network (CSNN) with a specific structure that can ablate low-frequency features is designed to extract working conditions features. Finally, a meta-learning fine-tuning framework for learning the network parameters that are susceptible to task changes is merged into the CSNN to solve the few-shot issue. The results of the experiments demonstrate that the trained ML-CSNN has good recognition accuracy and generalization ability for few-shot working condition recognition. More specifically, in the case of lower computational complexity, only few-shot samples are needed to fine-tune the network parameters, and the model can be quickly adapted to new classes of well conditions.

Assessing fire severity in Turkey's forest ecosystems using spectral indices from satellite images

Fire severity classifications determine fire damage and regeneration potential in post-fire areas for effective implementation of restoration applications.Since fire damage varies according to vegetation and fire characteristics,regional assessment of fire severity is crucial.The objectives of this study were:(1)to test the performance of different satellite imagery and spectral indices,and two field—measured severity indices,CBI(Composite Burn Index)and GeoCBI(Geometrically structured Composite Burn Index)to assess fire severity;(2)to calculate classification thresholds for spectral indices that performed best in the study areas;and(3)to generate fire severity maps that could be used to determine the ecological impact of forest fires.Five large fires in Pinus brutia(Turkish pine)and Pinus nigra subsp.pallasiana var.pallasiana(Anatolian black pine)—dominated forests during 2020 and 2021 were selected as study sites.The results show that GeoCBI provided more reliable estimates of field—measured fire severity than CBI.While Sentinel-2 and Landsat-8/OLI images performed similarly well,MODIS performed poorly.Fire severity classification thresholds were determined for Sentinel-2 based RdNBR,dNBR,dSAVI,dNDVI,and dNDMI and Landsat-8/OLI based dNBR,dNDVI,and dSAVI.Among several spectral indices,the highest accuracy for fire severity classification was found for Sentinel-2 based RdNBR(72.1%)and Landsat-8/OLI based dNBR(69.2%).The results can be used to assess and map fire severity in forest ecosystems similar to those in this study.

Intelligent Systems and Photovoltaic Cells Empowered Topologically by Sudoku Networks

A graph invariant is a number that can be easily and uniquely calculated through a graph.Recently,part of mathematical graph invariants has been portrayed and utilized for relationship examination.Nevertheless,no reliable appraisal has been embraced to pick,how much these invariants are associated with a network graph in interconnection networks of various fields of computer science,physics,and chemistry.In this paper,the study talks about sudoku networks will be networks of fractal nature having some applications in computer science like sudoku puzzle game,intelligent systems,Local area network(LAN)development and parallel processors interconnections,music composition creation,physics like power generation interconnections,Photovoltaic(PV)cells and chemistry,synthesis of chemical compounds.These networks are generally utilized in disorder,fractals,recursive groupings,and complex frameworks.Our outcomes are the normal speculations of currently accessible outcomes for specific classes of such kinds of networks of two unmistakable sorts with two invariants K-banhatti sombor(KBSO)invariants,Irregularity sombor(ISO)index,Contraharmonic-quadratic invariants(CQIs)and dharwad invariants with their reduced forms.The study solved the Sudoku network used in mentioned systems to improve the performance and find irregularities present in them.The calculated outcomes can be utilized for the modeling,scalability,introduction of new architectures of sudoku puzzle games,intelligent systems,PV cells,interconnection networks,chemical compounds,and extremely huge scope in very large-scale integrated circuits(VLSI)of processors.

Current status of outcome reporting in randomized controlled trials of traditional Chinese medicine for mammary gland hyperplasia: A systematic review

Objective:To assess outcome indicators in clinical trials and provide a reference for establishing a core outcome set to treat hyperplasia of mammary gland(HMG)with traditional Chinese medicine(TCM).Methods:Eight online databases were searched from their inception to December 31,2022,to assess outcomes reported in randomized controlled trials(RCTs)of HMG treated with TCM.The quality of the included studies was assessed according to the Cochrane Risk of Bias Assessment Tool.All outcomes were extracted,classified,and described.Results:A total of 8249 articles were initially retrieved.Of these,70 articles were eligible and involved 10618 participants with HMG.A total of 17 outcome indicators with a frequency of 271 times were involved and were collected according to six outcome domains.Conclusions:The core outcomes of RCTs of HMG treated with TCM are large and divergent.There are problems in evaluation standards,primary and secondary outcomes,TCM characteristic indicators,long-term prognosis,and standardization of reporting.It is recommended to strengthen the trial design and actively construct the core outcome sets with TCM characteristics for HMG.

Availability Capacity Evaluation and Reliability Assessment of Integrated Systems Using Metaheuristic Algorithm

Contemporarily,the development of distributed generations(DGs)technologies is fetching more,and their deployment in power systems is becom-ing broad and diverse.Consequently,several glitches are found in the recent studies due to the inappropriate/inadequate penetrations.This work aims to improve the reliable operation of the power system employing reliability indices using a metaheuristic-based algorithm before and after DGs penetration with feeder system.The assessment procedure is carried out using MATLAB software and Mod-ified Salp Swarm Algorithm(MSSA)that helps assess the Reliability indices of the proposed integrated IEEE RTS79 system for seven different configurations.This algorithm modifies two control parameters of the actual SSA algorithm and offers a perfect balance between the exploration and exploitation.Further,the effectiveness of the proposed schemes is assessed using various reliability indices.Also,the available capacity of the extended system is computed for the best configuration of the considered system.The results confirm the level of reli-able operation of the extended DGs along with the standard RTS system.Speci-fically,the overall reliability of the system displays superior performance when the tie lines 1 and 2 of the DG connected with buses 9 and 10,respectively.The reliability indices of this case namely SAIFI,SAIDI,CAIDI,ASAI,AUSI,EUE,and AEUE shows enhancement about 12.5%,4.32%,7.28%,1.09%,4.53%,12.00%,and 0.19%,respectively.Also,a probability of available capacity at the low voltage bus side is accomplished a good scale about 212.07 times/year.

Use of Unmanned Aerial System (UAS) Phenotyping to Predict Pod and Seed Yield in Organic Peanuts

Peanut (Arachis hypogaea L.) is a highly nutritious food that is an excellent source of protein and is associated with increased coronary health, lower risk of type-2 diabetes, lower risk of breast cancer and a healthy profile of inflammatory biomarkers. The domestic demand for organic peanuts has significantly increased, requiring new breeding efforts to develop peanut varieties adapted to the organic farming system. The use of unmanned aerial system (UAS) has gained scientific attention because of the ability to generate high-throughput phenotypic data. However, it has not been fully investigated for phenotyping agronomic traits of organic peanuts. Peanuts are beneficial for cardio system protection and are widely used. Within the U.S., peanuts are grown in 11 states on roughly 600,000 hectares and averaging 4500 kg/ha. This study’s objective was to test the accuracy of UAS data in the phenotyping pod and seed yield of organic peanuts. UAS data was collected from a field plot with 20 Spanish peanut breeding lines on July 07, 2021 and September 27, 2021. The study was a randomized complete block design (RCBD) with 3 blocks. Twenty-five vegetation indices (VIs) were calculated. The analysis of variance showed significant genotypic effects on all 25 vegetation indices for both flights (p < 0.05). The vegetation index Red edge (RE) from the first flight was the most significantly correlated with both pod (r = 0.44) and seed yield (r = 0.64). These results can be used to further advance organic peanut breeding efforts with high-throughput data collection.

Prediction of Success Rates of Vaginal Birth after Cesarean Delivery According to the Previous Indication for Cesarean Delivery

Background: Trial of labor after cesarean delivery (TOLAC) has long been accepted as a safe option for women with previous cesarean delivery. Previous efforts have been exerted in trials to predict the success rates of TOLAC according to specific parameters related to previous cesarean section and before TOLAC. We aimed to investigate the different indications of previous cesarean delivery as independent predictors for successful vaginal birth. Methods: A retrospective study was conducted in Armed Forces Hospitals of the Southern Region between December 15, 2019, and July 1, 2020. The included 566 patients with previous cesarean section who were willing to undergo a trial of labor were divided into two groups according to the success of vaginal birth (VBAC). Results: The nonrecurring indications for previous cesarean delivery were higher in the successful group (fetal distress 54.7% vs 41.1%, malpresentation 26% vs 21.4%, multifetal pregnancy 3.8% vs 2.7%). Additionally, the successful VBAC group had a significantly higher percentage of previous successful VBAC (47.7% vs 21.9%) and prior vaginal deliveries (58.5% vs 44.2%) and less coincidence of medical disorders and meconium-stained liquor (18.1% vs 26.3% and 3.2% vs 8.2%, respectively) than the unsuccessful group. Conclusion: During counseling regarding trial of labor after cesarean section, indications for previous cesarean section not related to arrest of labor can predict higher success of VBAC. Moreover, previous successful vaginal delivery or VBAC improves the success rates.

Evaluation and Relevance of Indications for Primary Caesarean Section: A Five-Year Experience Report from Nevers Hospital Center

Context: The caesarean section rate continues to increase in our different health structures specially for women who have not had a scar in the uterus. Objectives: The aim of this study was to analyze the key factors and main indications for primary caesarean sections and to find ways to reduce the increasing rates. Patients and Method: This is a longitudinal and retrospective study carried out from June 1, 2018 to July 31, 2022. The study included all patients who had a cesarean-section for the first time (primary caesarean). An anterior uterine scar was a non-inclusion criterion. Data were collected prospectively using Synfonievre and Agopra software via patients’ files and information collection sheet. Data were analyzed with SPSS 21 software, Mac version. Averages were calculated for quantitative data and percentages for qualitative data. The statistical tests used were the Pearson Chi2 test. The observed differences were considered significant when the p-value was less than 0.05. Results: During the study period, we recorded 8832 deliveries and 3148 caesarean sections (35.6%). Primary CS concerned 70% of overall C-section rate. The main indications were FHR Fetal Heart Rate abnormalities (FHRA) (27%), followed by the other indications (including preterm delivery, umbilical cord dystocia, malpresentation of fetus, foetal abnormalities, elective CS, triple gestation, mother abnormalities);dystocia or prolonged labor (18.7%), breech presentation in a twin pregnancy with 11.3% and 9.6% respectively. We recorded more vaginal deliveries with labor induction: 81.4% against 75.2%. An obstetrical audit led to better labor management and a reduction in the cesarean section rate. Conclusion: We need to focus on diagnosis of fetal distress, management of breech presentation during of a twin birth and a singleton. Induction of labor can be an effective alternative in certain indications. An obstetrical audit is needed to reverse the caesarean section rate.

Cardiac Echography in Pediatrics at the Regional Hospital of Diourbel: Indication and Result

Childhood heart disease is a real public health problem. In our contexts, care remains a major challenge. Doppler echocardiography remains the essential examination for diagnosis. The objective of our study was to describe the different clinical indications for cardiac ultrasound in children and the main pediatric heart diseases at the Diourbel Heinrich Lübke Regional Hospital. This was a descriptive and analytical retrospective study spanning from 2020 to 2022;covering a series of 140 cases. The study was carried out using patient clinical observation sheets and consultation sheets. We identified 140 ultrasounds. The average age of patients was 35.96 months with extremes of 0.03 months and 192 months. The female sex was predominant, with an M/F sex ratio of 0.72. Ultrasound was systematically requested in 67.14% of the study population. The indications found were mainly: heart murmur, polymalformative syndrome, respiratory failure, bronchiolitis, cardiomegaly, suspicion of heart disease, cardiomegaly, pre-therapeutic and pre-operative assessment. A total of 71 cardiac abnormalities were found in 65 patients, i.e. a prevalence of 46.42%. Congenital heart disease was more frequent (found in 49 patients, a prevalence of 35%) and was dominated by the CIA. There was a female predominance in almost all heart diseases except in the case of endocarditis where codominance is found. Our study has made it possible, through echocardiography, to evaluate the indications for echocardiography in children, to determine the prevalence of heart disease in children and also to assess the relevance of requests for echocardiography.

Understanding Patients’ Symptoms Management Using Objective and Subjective Indicators among Patients with Systemic Lupus Erythematosus

Background: Descriptive statistics have been used to document the high prevalence of sleep disorders, fatigue, and pain in patients with systemic lupus erythematosus (SLE). Objectives: To describe day-to-day variations in sleep indicators, physical activity level, pain, and fatigue measured using objective and subjective indicators in lupus patients with sleep disorders. Methods: We selected three patients with sleep disorders, measured by the Pittsburgh Sleep Quality Index score (≥9), out of 20 participants followed up for 4 weeks. We compared the self-rated quality of life (QoL) measured using the Pittsburgh Sleep Quality Index (PSQI) with that of objectively measured sleep indicators monitored using the Nemuri scan. The detailed data collection methods have been previously published. Results: The sleep status generated by the Nemuri scan revealed that Case A with a flare and Case B without a flare required frequent daytime rest. The PSQI sleep duration and sleep latency were generally in agreement with the monitored data, although the PSQI failed to capture the complexity of sleep disorders, particularly the fluctuations in the quality of sleep indicators. Patient C approximately 4 hours on weekdays and 10 hours on Saturday nights. All three cases had high fatigue levels, and their moderate-to-vigorous physical activity duration was less than one-half of duration that recommended by the World Health Association. Conclusion: Visual display for objective monitoring of sleep quality is an excellent tool for understanding patients who require frequent resting and irregular sleep indicators. Objective monitoring of sleep quality, along with self-rated pain and fatigue, promotes an understanding of how patients with SLE cope with severe symptoms.