G. Cesarelli, Martina Profeta, Cristiana Giglio, Giuseppe Ferrucci, A. Borrelli, M. Romano, Francesco Amato
{"title":"Trend of the LOS for patients suffering from different kidney injuries","authors":"G. Cesarelli, Martina Profeta, Cristiana Giglio, Giuseppe Ferrucci, A. Borrelli, M. Romano, Francesco Amato","doi":"10.1145/3502060.3503645","DOIUrl":"https://doi.org/10.1145/3502060.3503645","url":null,"abstract":"Maintenance of kidney health is a global priority. This reflects the vital role that the kidneys play. Indeed, although often underestimated, the kidneys, perform various functions essential for our survival as maintaining water homeostasis through the removal of excess fluids and being responsible for the removal of toxic substances. Furthermore, they are involved in the regulation of blood pressure, the production of erythropoietin, activation of vitamin D to maintain bone health and the acid-base balance control to maintain the blood pH within normal values. Kidney damage at date is a very common condition and its identification and management are necessary in order to prevent its progression, comorbidities outcomes, reduce the mortality risks improving patient safety and medicines management. In this scenario, we propose a case study at University Hospital “San Giovanni di Dio e Ruggi d'Aragona” in Salerno (Italy) in the period between October 2018 and December 2020 on 847 patients with different kidney injuries considering their age and the presence of related pathologies. Aim of our wok is a better understand of the length of hospital stay (LOS) in order to improve the prediction of the disease stage, the quality of life of patients reducing hospitalization and mortality. Furthermore, our final goal is to understand the key mechanism related to the managing of patients reducing the costs.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130532665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Prokopenko, V. Ondar, S. Ismailova, A. Khomchenkova
{"title":"Induction Analyser of Kinematic Human Gait Parameters","authors":"S. Prokopenko, V. Ondar, S. Ismailova, A. Khomchenkova","doi":"10.1145/3502060.3503617","DOIUrl":"https://doi.org/10.1145/3502060.3503617","url":null,"abstract":"This article presents an original device for analysis of human movements, gait in particular, based on inductively coupled coils (short multilayer solenoids) fixed on the subject's legs. Specifically developed software making it possible to visualise peculiarities of the patient's gait in the form of the electromagnetic signal oscillogram and determine diagnostically significant kinematic parameters of human gait. The device may be used as a tool for objective diagnosis of human gait. In particular, it may be applied in medicine as a method for analysis of kinematic gait parameters in health and disease including the possibility to evaluate the dynamics of rehabilitation procedures.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120899363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Stroke Patients Walk Pattern Prediction and Tracking Control Method for a Novel Intelligent Lower Limb Rehabilitation Walker","authors":"Xiaoqian Zhang, Z. Luo, Delong Yang, Peng Shang","doi":"10.1145/3502060.3502152","DOIUrl":"https://doi.org/10.1145/3502060.3502152","url":null,"abstract":"Aim to accelerate the process of lower limb rehabilitation for post-stroke people, various intelligent lower limb rehabilitation walkers (ILLRW) with body kinetic analysis and feedback control function have been developed to reduce the nursing workload and enhance training performance. In this work, a novel ILLRW is proposed, equipped with a walking remote system via control lever and driver units to assist user's walk correspondingly. However, the walking ability varied significantly from stroke persons, and a system that can interfere with the driving system to adjust the speed according to the pace is critical. Thus, we also developed a walk pattern prediction system (WPPS) to feedback and further optimize the control system. The WPPS includes a laser range finder (LRF) array and plantar pressure sensors at the bottom, wearable pressure sensors at the user's waist, and an Inertial Measurement Unit (IMU) at the user's body joints. Altogether, the data get further analyzed and a walk pattern model generated while walking, and it is expected that the movement of the walker can relatively match the user's pace. Experimental result shows that our WPPS can track stroke patient's movement pattern effectively.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130694412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Teresa Angela Trunfio, Lucia De Coppi, R. Alfano, A. Borrelli, Giuseppe Ferrucci, P. Gargiulo
{"title":"The effect of CoViD-19 pandemic on the hospitalization of a department of Emergency Surgery","authors":"Teresa Angela Trunfio, Lucia De Coppi, R. Alfano, A. Borrelli, Giuseppe Ferrucci, P. Gargiulo","doi":"10.1145/3502060.3503657","DOIUrl":"https://doi.org/10.1145/3502060.3503657","url":null,"abstract":"CoViD-19 caused a significant alteration of the normal activity of hospital facilities. In particular, the surgical departments have been converted and reprogrammed to cope with the emergency, giving priority to urgent procedures that cannot be deferred. To this must be added the actions implemented by governments, such as the lockdown, which forced people to stay in their homes. In this study it was analyzed how the pandemic and the actions taken to counter the spread of the infection have influenced the activity of the Department of Emergency Surgery of \"San Giovanni di Dio and Ruggi d'Aragona\" University Hospital in Salerno (Italy). Logistic regression and statistical analysis were used to compare the pre-pandemic data (year 2019) with that recorded at the height of the pandemic (year 2020). The results show that Diagnostic Related Group (DRG) weight and urgent hospitalization increased significantly in 2020.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122232602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Alfano, I. Loperto, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, A. Borrelli, A. Scala, P. Gargiulo
{"title":"Using Statistical Analysis and Logistic Regression to study the effect of CoViD-19 on hospital activities of the C.O.U. General Surgery and Kidney Transplants","authors":"R. Alfano, I. Loperto, Teresa Angela Trunfio, Cristiana Giglio, Giovanni Rossi, A. Borrelli, A. Scala, P. Gargiulo","doi":"10.1145/3502060.3503655","DOIUrl":"https://doi.org/10.1145/3502060.3503655","url":null,"abstract":"Due to the Sars-Cov-2 pandemic, the entire health sector in all countries around the world had to reorganize. It was not only a question of increasing the number of intensive care places, but all other medical specialties also had to rewrite their protocols. In this context, it is interesting to investigate whether these new measures have changed the volume of activity and the way hospital departments work. The aim of this study is precisely to verify what has happened to the Transplantation and Related Surgery Centre of the \"San Giovanni di Dio e Ruggi d'Aragona\" University Hospital of Salerno. For this reason, data were collected on patients who were admitted in 2019 (pre-pendemic) and 2020. The statistical analysis carried out showed that nothing had changed in this department in 2020.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127146767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Lauri, Teresa Angela Trunfio, Ylenia Colella, A. Lombardi, A. Borrelli, P. Gargiulo
{"title":"Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy","authors":"C. Lauri, Teresa Angela Trunfio, Ylenia Colella, A. Lombardi, A. Borrelli, P. Gargiulo","doi":"10.1145/3502060.3503636","DOIUrl":"https://doi.org/10.1145/3502060.3503636","url":null,"abstract":"Endarterectomy is a commonly performed surgical procedure for reducing long-term stroke risks. Due to the prolonged Length of Stay (LOS) experienced by patients undergoing endarterectomy, predicting this parameter has become increasingly important for both costs savings and the improvement of the management of beds. This study aims to develop a prediction model of LOS value starting from the clinical data related to patients undergoing endarterectomy, exploiting the potential of several Machine Learning algorithms. Data extracted from the information system of the “San Giovanni di Dio and Ruggi d'Aragona” University Hospital (Salerno, Italy) were considered to perform the analysis. The proposed prediction model shows promising outcomes in estimating the LOS and therefore it can be a significant tool for enhancing the planning of endarterectomy procedures.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126795979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Scala, Lucia De Coppi, I. Loperto, A. Borrelli, A. Lombardi, M. Triassi
{"title":"Investigating the impact of CoViD-19 on the activities of a Department of General Medicine","authors":"A. Scala, Lucia De Coppi, I. Loperto, A. Borrelli, A. Lombardi, M. Triassi","doi":"10.1145/3502060.3503662","DOIUrl":"https://doi.org/10.1145/3502060.3503662","url":null,"abstract":"CoViD-19 has placed the health systems of many countries in further crisis. The elective surgeries were canceled and the staff of several departments, including general medicine, underwent a reallocation to deal with the health emergency. In a context of economic fragility, in recent years the use of indicators for measuring health quality and performance has acquired more and more importance. Access limited only to emergency-urgency cases within hospitals has however produced a benefit in improving the appropriateness of admissions. In this study the value of parameter sets obtained in year 2019 (pre-pandemic) and year 2020 (during the pandemic), including Length of Stay and Diagnostic Related Group (DRG) Weight, of the Department of General Medicine of the University Hospital of Salerno 'San Giovanni di Dio e Ruggi D'Aragona' in Salerno (Italy) were compared using statistical analysis and logistic regression. The statistical analysis shows an increase in the DRG Weight in 2020, so an increase of the complexity of the cases treated and a greater appropriateness of hospitalizations.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124041100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Antonella Fiorillo, Ilaria Picone, I. Latessa, A. Cuocolo
{"title":"Modelling the length of hospital stay in medicine and surgical departments","authors":"Antonella Fiorillo, Ilaria Picone, I. Latessa, A. Cuocolo","doi":"10.1145/3502060.3503639","DOIUrl":"https://doi.org/10.1145/3502060.3503639","url":null,"abstract":"Healthcare Associated Infections are among the world's leading public health problems and the most serious complications for hospitalized patients that can impact length of stay (LOS). In this work, medical record data of 24365 patients admitted to general surgery and clinical medicine wards were used collectively with the aim of creating models capable of predicting overall LOS, measured in days, considering clinical information. Multiple linear regression analysis was performed with IBM SPSS, the coefficient of determination (R2) was equal to 0,288. A regression analysis with ML algorithms was performed with the Knime Analysis Platform. The R2 were quite low for both multiple linear regression and ML regression analyses. The use of these techniques showed that there is a relationship between clinical variables and overall LOS. The results constitute a valid support tool for decision makers to provide the turnover index for the benefit of health policy in the management of departments.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121019491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Hilmanto, A. Widiasta, Y. Sribudiani, H. Nugrahapraja, Kurnia Wahyudi, D. Rachmadi
{"title":"The Role of miR-21 on the Expression of β2-Microglobulin in Steroid-resistant Nephrotic Syndrome Children","authors":"D. Hilmanto, A. Widiasta, Y. Sribudiani, H. Nugrahapraja, Kurnia Wahyudi, D. Rachmadi","doi":"10.1145/3502060.3502320","DOIUrl":"https://doi.org/10.1145/3502060.3502320","url":null,"abstract":"Nephrotic syndrome (NS) in children has some mysterious prognosis in the perspective of its therapeutic response. This study aims to determine the role of miR-21 in β-2 microglobulin (B2M) expression among SRNS children. The open-prospective cohort study was conducted at Hasan Sadikin General Hospital, Indonesia. A total of 24 children (age 1–18 years) with NS were enrolled in this study. Meanwhile, blood samples were collected prior to any treatment. The whole blood samples were collected from 12 SRNS and control. Moreover, RNA isolation was carried out with blood plasma samples stored in a cooler at -800C, while miR-21 expression was measured using qRT-PCR. The difference between miRNAs expression analyzed with Livak and the correlation between B2M and miR-21 expression were analyzed using Spearman correlation analysis. Based on the results, there were notable upregulation of miR-21 in SRNS compared to SSNS 2-ΔΔCt > 1. However, no correlation was observed between B2M expression with the upregulation of miR-21 ( -1 < rs < 1, p > 0.05). The miR-21 is upregulated in children with SRNS. This indicates that the expression level of this miRNA potentially applicable as a predictor for SRNS development in children.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122263720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ylenia Colella, C. Lauri, A. M. Ponsiglione, Cristiana Giglio, A. Lombardi, A. Borrelli, Francesco Amato, Maria Romano
{"title":"A comparison of different Machine Learning algorithms for predicting the length of hospital stay for pediatric patients","authors":"Ylenia Colella, C. Lauri, A. M. Ponsiglione, Cristiana Giglio, A. Lombardi, A. Borrelli, Francesco Amato, Maria Romano","doi":"10.1145/3502060.3503648","DOIUrl":"https://doi.org/10.1145/3502060.3503648","url":null,"abstract":"Prolonged length of stay (LOS) is one of the most significant issues that hospitals must face since it can determine an increase of costs and risk of complications and a decrease of patient satisfaction. The capability of accurately predicting LOS is a valuable tool for helping hospital administrators in resource planning, encouraging quality improvement actions and providing support for medical practice. In particular, delayed hospital discharge in pediatric population is something that needs to be carefully considered because of their vulnerability and complexity from the medical viewpoint. Predicting the use of hospital resources and beds in pediatric departments could also help to better dimension hospitalizations management. This work has the aim to determine the predictive factors for the length of stay for patients admitted to the Complex Operative Units of Pediatrics and Pediatric Surgery at the “San Giovanni di Dio e Ruggi d'Aragona” University Hospital of Salerno and to build a classification model of LOS exploiting the potential of Machine Learning. Different algorithms are implemented, and their evaluation metrics are assessed and compared together to develop a prediction model with high performances.","PeriodicalId":193100,"journal":{"name":"2021 International Symposium on Biomedical Engineering and Computational Biology","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122382850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}