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2021 ◽  
Vol 2 (2) ◽  
pp. 124-129
Author(s):  
Jamila Rida ◽  
Houda Moubachir ◽  
Youssef Bouchriti

Asthma is a serious public health problem. This study aimed to identify the characteristics of asthma cases reported by Agadir's Souss-Massa Regional Hospital Center (SMRHC). A retrospective analysis was carried out at the SMRHC's pneumology and paediatrics departments in 2019. As data support, reporting records and a data collection worksheet were used. This year, 141 cases were reported. The highest frequencies were observed in February (21.9%) and April (26.6%). Both males and females were affected (sex ratio Male/Female = 0.98). The asthmatics were, on average 40.7 ± 25.1 years old. The majority of the cases are from areas that are easily accessible for medical consultation at the SMRHC. To obtain more accurate knowledge and contribute to the research, related studies should be undertaken on this topic. Our findings, we hope, will act as a foundation for future research into improving the case registration system (digital support) and upgrading patient data in accordance with WHO and GINA guidelines.


2021 ◽  
Author(s):  
Dylan Aidlen ◽  
Jamie Henzy

This study analyzes the specific linkages between symptoms within individual COVID patients belonging to at-risk groups. The goal was to determine how strongly linked patient symptoms are within these at-risk groups to find any associations between factors such as comorbidities and COVID symptoms. In this study, de-identified patient data from the N3C database was utilized in order to link representative immunocompromised states with specific symptoms, and non-immunocompromised state with the same, to determine if the strength of the correlation changes for these at-risk groups. Multiple autoimmune disorders resulting in immunocompromised state were analyzed, to determine if severity of immune response and inflammatory action plays a role in any potential differences. An exploratory approach using statistical methods and visualization techniques appropriate to multidimensional data sets was taken. The identified correlations may allow pattern analysis in disease presentation specific to a given population, potentially informing pattern recognition, symptom presentation, and treatment approaches in patients with immune comorbidities.


2021 ◽  
Vol 4 (2) ◽  
pp. 55
Author(s):  
Arofi Kurniawan ◽  
An’nisaa Chusida ◽  
Maria Istiqomah Marini ◽  
Beta Novia Rizky ◽  
Beshlina Fitri Widayanti Roosyanto Prakoeswa ◽  
...  

Introduction: A dental medical record is a systematic documentation of a patient, provided by the dentists. Various information including the patient data, diagnoses, treatments, and odontogram are recorded in the dental medical records. In Indonesia, the guideline of dental medical records has been established by the Ministry of Health. However, the preliminary study by the Department of Forensic Odontology, Faculty of Dental Medicine Universitas Airlangga, showed that many dentists documented the medical records, not following the Medical Record Guidelines from the Ministry of Health. Purpose: This study aims to determine the dentists’ understandings of the completeness of dental medical records according to the Dental Medical Record Guidelines by the Ministry of Health of Indonesia. Methods: A total of 358 dentists in East Java participated in this study by fulfilling an online questionnaire. Results: The results showed that approximately 27.4% of the respondents are conducting dental medical records following Dental Medical Record Guidelines. Conclusion: The results of this study are expected to be considered as a reference for the implementation of socialization on the Dental Medical Record Guidelines and the formulation of policies that regulate the use of dental medical records following national standards.


2021 ◽  
Vol 14 (2) ◽  
pp. 261-267
Author(s):  
Arfan Haqiqi ◽  
Rais - ◽  
Istiqomah Dwi Andari ◽  
Siti Fatimah

Management of medical actions carried out in handling patients who are ODP (people under monitoring), OTG (asymptomatic people), PDP (patient under monitoring) and positive Covid-19 patients is carried out based on assumptions, such as self-isolation, hospitalization, or special treatments in the ICU (Intensive Care Unit) room. The condition of the body in each patient is different, a patient may have same symptoms but the treatment is different, especially in elderly patients. Many problems occur in determining medical action because the patient's body condition is different. Therefore, it needs to be appointed as a research. The research method used in this study was Nive Bayes algorithm with supporting application Rapid Miner. It was applied to carry out the process of testing on patient data as much as 500 data, 25 variables or patient symptoms and 3 outputs as a form of medical action. Based on the results of the analysis carried out in this study, prediction of medical actions for ODP, PDP, OTG and positive Covid-19 patients were obtained by comparing training data with testing data using Rapid Miner application. It resulted that an accuracy rate of 76.00% was obtained


2021 ◽  
Author(s):  
Thomas Fuhs ◽  
Franziska Wetzel ◽  
Anatol Fritsch ◽  
Xinzhi Li ◽  
Roland Stange ◽  
...  

Abstract Palpation, as already mentioned in the ancient Egyptian medical text Ebers Papyrus, utilizes that solid tumors are stiffer than the surrounding tissue. However, cancer cell lines tend to soften, which may intuitively foster invasion by enhancing the ability of cancer cells to squeeze through dense tissue. This paradox raises questions besides the oxymoron itself: Does softness emerge from adaptation to the external microenvironment? Or are soft cells already present inside a rigid primary tumor mass to support cancer cell unjamming? We investigate primary tumor explants from patients with breast and cervix carcinomas on multiple length scales from the tissue level down to single cells. We find that primary tumors are highly heterogeneous in their mechanical properties. From the tissue level this heterogeneity persists down to the scale of individual cells in cancer cell clusters, resulting in a broad distribution of cell rigidities with a higher fraction of softer, more squeezable cells. Plus, squeezed cell shapes correlate with cancer cell motility. Mechanical modelling based on patient data reveals that a tumor mass as a whole is able to maintain a rigid, solid behavior even when it contains a significant fraction of very soft cells. Cell softening induced cancer cell unjamming generates heterogeneous cancer cell clusters with a solid backbone of rigid cells surrounded by soft motile cells.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ignat Kulkov ◽  
Anastasia Tsvetkova ◽  
Maria Ivanova-Gongne

PurposeVirtual and augmented reality solutions in medicine are generally applied in communication, training, simulation and therapy. However, like most new digital developments, these technologies face a large number of institutional barriers that are inherent to the medical sector.Design/methodology/approachFollowing Richard Scott's view on institutions and organizations, a multiple case study is used to analyze regulatory, normative and cultural-cognitive institutional pillars in the medical industry.FindingsThe results of the study demonstrate that (1) the regulatory pillar inhibits the advancement of new technologies in the approach to treatment, regulation of patient data, educational processes for medical staff, and information and financial flows; (2) the number of barriers increases based on the solution's level of disruption and the number of variable conventional procedures; (3) trust between participants in the medical industry plays an important role in introducing new technologies; (4) new participants need to address certain pillars depending on the area of application.Originality/valueThe authors discuss top-down and bottom-up approaches for overcoming institutional barriers when implementing augmented and virtual reality solutions for companies focusing on the medical market.


2021 ◽  
Vol 25 (12) ◽  

For the month of December 2021, APBN looks the applications of artificial intelligence and robotics in the healthcare space. In Features, we hear from Christopher Khang, President and CEO of GE Healthcare ASEAN, on how innovative technologies such as AI and automation are shaping a bright future for radiologists and their patients. Then, we have David Irecki from Boomi, who proposes that a unified view of patient data can enable holistic, coordinated services that will improve people'soverall quality of life, and an article contribution by Lewis Ho, Chief Executive Officer at Avalon SteriTech on innovative healthcare solutions and the future of smart cleaning. Shifting away from intelligent machines, we speak to Dr. Goh Choo Beng, Head of Medical Affairs at Takeda APAC, on unmet disease areas and learn more about the different treatments and trials currently in the pipeline at Takeda, and finally, we wrap up the year 2021 with Lu-Ching Lau, Director for External Affairs, Policy and Communications, Singapore and Malaysia, MSD, as she shares with us how we may navigate through current and future health challenges.


2021 ◽  
Author(s):  
Mohammed Alshareef ◽  
Ahmed Alshareef ◽  
Tyler Vasas ◽  
Aakash Shingala ◽  
Jonathan Cutrone ◽  
...  

IIntroduction Cranioplasty is a standard technique for skull defect repair. Restoration of cranial defects is imperative for brain protection and allowing for homeostasis of cerebral spinal fluid within the cranial vault. Calcium phosphate hydroxyapatite (HA) is a synthetic-organic material that is commonly used in cranioplasty. We evaluate a patient series undergoing HA cement cranioplasty with underlying bioresorbable mesh for various cranial defects and propose a preliminary computational model for understanding skull osteointegration. Methods A retrospective review was performed at the institution for all pediatric patients who underwent HA cement cranioplasty. 17 patients were identified and success of cranioplasty was determined based on clinical and radiographic follow-up. A preliminary computational model was developed using bone growth and scaffold decay equations from previously published literature. The model was dependent on defect size and shape. Patient data was used to optimize the computational model. Results Seventeen patients were identified with an average age of 6±5.6 years. Average defect size was 11.7±16.8 cm2. Average time to last follow-up CT scan was 10±6 months. Three patients had failure of cranioplasty, all with a defect size above 15 cm2. The computational model developed shows a constant decay rate of the scaffold, regardless of size or shape. The bone growth rate was dependent on the shape and number of edges within the defect. Thus, a star-shaped defect obtained a higher rate of growth than a circular defect because of faster growth rates at the edges. The computational simulations suggest that shape and size of defects may alter success of osteointegration. Conclusion Pediatric cranioplasty is a necessary procedure for cranial defects with a relatively higher rate of failure than adults. Here, we use hydroxyapatite cement to perform the procedure while creating a preliminary computational model to understand osteointegration. Based on the findings, cranioplasty shape may alter rate of integration and lead to higher success rates.


2021 ◽  
pp. 183335832110541
Author(s):  
João Vasco Santos ◽  
Filipa Santos Martins ◽  
Fernando Lopes ◽  
Júlio Souza ◽  
Alberto Freitas

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