Pub Date : 2024-01-01DOI: 10.37648/ijrmst.v17i01.001
Pritam Dhalla
Primarily in the treatment of chronic illnesses, the rapidly developing discipline of remote patient monitoring (RPM) has the potential to completely transform the way healthcare is delivered. With an emphasis on cardiac and respiratory health, this study intended to assess the usefulness and efficacy of Larkai Healthcare's RPM system in improving disease monitoring practices. To comprehensively assess the Larkai RPM system, we conducted a comparative analysis of its performance against conventional clinical monitoring methods across a diverse patient population. With Larkai's RPM devices, key vitals like ECG, blood pressure, heart rate, respiration rate, and SpO2 were continually monitored, allowing for early diagnosis and treatment of heart and lung illnesses. Our investigation focused on the interactions among treatment adherence, user experience, and technological integration, as well as how these relationships affect patient outcomes. The findings of this study unequivocally support the efficacy of Larkai's RPM technology in real-world scenarios. We observed a significant improvement in the identification of early cardiopulmonary complications, which could lead to improved patient prognoses. Moreover, the study explored the impact of this technology on healthcare delivery patterns, revealing reductions in hospital visit frequency and associated costs. In conclusion, this study positions Larkai's RPM technology as a transformative tool in the healthcare landscape, providing compelling evidence for its ability to optimize healthcare processes and elevate patient care. Our findings pave the way for a future where remote monitoring becomes an integral component of disease management and prevention, advocating for the widespread adoption of RPM solutions within healthcare systems.
{"title":"Leveraging Larkai’s Technology for Remote Patient Monitoring","authors":"Pritam Dhalla","doi":"10.37648/ijrmst.v17i01.001","DOIUrl":"https://doi.org/10.37648/ijrmst.v17i01.001","url":null,"abstract":"Primarily in the treatment of chronic illnesses, the rapidly developing discipline of remote patient monitoring (RPM) has the potential to completely transform the way healthcare is delivered. With an emphasis on cardiac and respiratory health, this study intended to assess the usefulness and efficacy of Larkai Healthcare's RPM system in improving disease monitoring practices. To comprehensively assess the Larkai RPM system, we conducted a comparative analysis of its performance against conventional clinical monitoring methods across a diverse patient population. With Larkai's RPM devices, key vitals like ECG, blood pressure, heart rate, respiration rate, and SpO2 were continually monitored, allowing for early diagnosis and treatment of heart and lung illnesses. Our investigation focused on the interactions among treatment adherence, user experience, and technological integration, as well as how these relationships affect patient outcomes. The findings of this study unequivocally support the efficacy of Larkai's RPM technology in real-world scenarios. We observed a significant improvement in the identification of early cardiopulmonary complications, which could lead to improved patient prognoses. Moreover, the study explored the impact of this technology on healthcare delivery patterns, revealing reductions in hospital visit frequency and associated costs. In conclusion, this study positions Larkai's RPM technology as a transformative tool in the healthcare landscape, providing compelling evidence for its ability to optimize healthcare processes and elevate patient care. Our findings pave the way for a future where remote monitoring becomes an integral component of disease management and prevention, advocating for the widespread adoption of RPM solutions within healthcare systems.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"23 89","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139639192","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v13i01.015
Teesha Ahuja
The most difficult task is accurately predicting disease. Environment and lifestyle factors contribute to a wide range of illnesses. As a result, it becomes a crucial task to predict disease earlier. On the other hand, the doctor finds it too difficult to predict symptoms accurately. Predicting the disease is important in using data mining to solve this issue. Medical science experiences significant annual data growth. Early patient care has benefited from accurate medical data analysis because of the growing amount of data in the medical field. Data mining uncovers hidden pattern information in a wide range of medical data by utilizing disease data. Based on the patient's symptoms, we proposed a general disease prediction. We use the machine learning algorithms K-Nearest Neighbor (KNN) and Convolutional Neural Network (CNN) for accurate disease prediction. A dataset of disease symptoms was required for disease prediction. A person's lifestyle and checkup information are considered for an accurate prediction in this general disease prediction. CNN has a higher general disease prediction accuracy of 84.5% than the KNN algorithm. Additionally, KNN's memory and time requirements are higher than CNN's. This system can provide the risk associated with the prevalent disease, which can be either a lower or higher risk of the prevalent disease after general disease prediction.
{"title":"Employability of the Machine Learning Algorithms in the Early Diagnosis of Various Diseases","authors":"Teesha Ahuja","doi":"10.37648/ijrmst.v13i01.015","DOIUrl":"https://doi.org/10.37648/ijrmst.v13i01.015","url":null,"abstract":"The most difficult task is accurately predicting disease. Environment and lifestyle factors contribute to a wide range of illnesses. As a result, it becomes a crucial task to predict disease earlier. On the other hand, the doctor finds it too difficult to predict symptoms accurately. Predicting the disease is important in using data mining to solve this issue. Medical science experiences significant annual data growth. Early patient care has benefited from accurate medical data analysis because of the growing amount of data in the medical field. Data mining uncovers hidden pattern information in a wide range of medical data by utilizing disease data. Based on the patient's symptoms, we proposed a general disease prediction. We use the machine learning algorithms K-Nearest Neighbor (KNN) and Convolutional Neural Network (CNN) for accurate disease prediction. A dataset of disease symptoms was required for disease prediction. A person's lifestyle and checkup information are considered for an accurate prediction in this general disease prediction. CNN has a higher general disease prediction accuracy of 84.5% than the KNN algorithm. Additionally, KNN's memory and time requirements are higher than CNN's. This system can provide the risk associated with the prevalent disease, which can be either a lower or higher risk of the prevalent disease after general disease prediction.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115239308","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v15i01.010
Abdullah Najim Abd Al Khanaifsawy
Contractual obligations in Iraq have been affected by the worldwide outbreak of coronavirus and the restrictive measures it has adopted, such as the announcement of the Defense Law. The enforcement of the Defense Law led in some cases to the impossibility to perform the contractual obligations that were previously established which triggered the parties to the contract - the debtor in particular - to invoke the application of force majeure or the doctrine of exceptional circumstances, and in both cases either demand contract frustration or mitigation of the contract. This research addresses the impact of applying the doctrine of unexpected circumstances and force majeure on contractual obligations following the provisions of Iraqi law and considering the legal texts of the defense and civil laws in force in Iraq. To achieve the goals of this research, the relevant legal texts were covered with explanation and detail, supported by the jurisprudence of the Iraqi courts.
{"title":"Corona Pandemic Impact on the Performance of the Iraqi Clinics","authors":"Abdullah Najim Abd Al Khanaifsawy","doi":"10.37648/ijrmst.v15i01.010","DOIUrl":"https://doi.org/10.37648/ijrmst.v15i01.010","url":null,"abstract":"Contractual obligations in Iraq have been affected by the worldwide outbreak of coronavirus and the restrictive measures it has adopted, such as the announcement of the Defense Law. The enforcement of the Defense Law led in some cases to the impossibility to perform the contractual obligations that were previously established which triggered the parties to the contract - the debtor in particular - to invoke the application of force majeure or the doctrine of exceptional circumstances, and in both cases either demand contract frustration or mitigation of the contract. This research addresses the impact of applying the doctrine of unexpected circumstances and force majeure on contractual obligations following the provisions of Iraqi law and considering the legal texts of the defense and civil laws in force in Iraq. To achieve the goals of this research, the relevant legal texts were covered with explanation and detail, supported by the jurisprudence of the Iraqi courts.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124607020","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v15i01.011
AL Majali, Rana Essam Saeed
The current study aimed to investigate some physiological and biochemical variables for patients with atherosclerosis of the heart, as some functional and metabolic criteria, and to compare the results of patients with the control group (healthy ones) and the study sample include (120) volunteers whose ages ranged from (30 – 96 years) from the residents of Wasit and Dhi Qar governorates, as data were collected for the samples of the current study to include the age group, where the results of the study sample showed the highest rates of patients within the age group (50-69 years) compared with the control group and for both sexes. Whereas, the laboratory tests of the biochemical-metabolic criteria indicated that there were significant differences in the concentrations of lipids in blood serum samples between the two groups of patients and the control with statistical significance, as the concentrations of lipids increased in each of cholesterol, triglycerides TG, low-density lipoproteins (LDL) and very low-density lipoproteins (VLDL), and a decrease in the level of High-density lipoproteins (HDL) in patients with atherosclerosis compared with the control group for both sexes, in addition, the results of the study showed that significant changes in the levels of the two biomarkers of atherosclerosis, as a significant increase was observed in the levels of OPG and endothelin ET in the serum of atherosclerosis patients of both sexes, compared to the control group, respectively. It is concluded from this study that the changes in serum levels of OPG and endothelin ET, as the results showed that males are more susceptible to atherosclerosis than females, and it also showed that the older the age, the greater the risk factors for atherosclerosis.
{"title":"A Study of Some Physiological and Biochemical Variables for Patients with Coronary Artery Disease","authors":"AL Majali, Rana Essam Saeed","doi":"10.37648/ijrmst.v15i01.011","DOIUrl":"https://doi.org/10.37648/ijrmst.v15i01.011","url":null,"abstract":"The current study aimed to investigate some physiological and biochemical variables for patients with atherosclerosis of the heart, as some functional and metabolic criteria, and to compare the results of patients with the control group (healthy ones) and the study sample include (120) volunteers whose ages ranged from (30 – 96 years) from the residents of Wasit and Dhi Qar governorates, as data were collected for the samples of the current study to include the age group, where the results of the study sample showed the highest rates of patients within the age group (50-69 years) compared with the control group and for both sexes. Whereas, the laboratory tests of the biochemical-metabolic criteria indicated that there were significant differences in the concentrations of lipids in blood serum samples between the two groups of patients and the control with statistical significance, as the concentrations of lipids increased in each of cholesterol, triglycerides TG, low-density lipoproteins (LDL) and very low-density lipoproteins (VLDL), and a decrease in the level of High-density lipoproteins (HDL) in patients with atherosclerosis compared with the control group for both sexes, in addition, the results of the study showed that significant changes in the levels of the two biomarkers of atherosclerosis, as a significant increase was observed in the levels of OPG and endothelin ET in the serum of atherosclerosis patients of both sexes, compared to the control group, respectively. It is concluded from this study that the changes in serum levels of OPG and endothelin ET, as the results showed that males are more susceptible to atherosclerosis than females, and it also showed that the older the age, the greater the risk factors for atherosclerosis.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124661023","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v16i01.003
Haithem Rauf Mohammed
The great majority of headaches are harmless events characterized by discomfort in any region of the head. Pain can manifest unilaterally or bilaterally. Pain might be subtle and throbbing, or it can be intense and radiating. A common headache's length can also vary substantially. Simple headaches caused by stress, excessive alcohol use, smoking, and weariness are easily cured with aspirin and calm slumber. The cause of more complicated headaches is unknown, however it could be due to aberrant nerve activity, regional changes in brain blood flow, or the improper release of pain-transmitting neuropeptides. Headaches are divided into two types: primary headaches and secondary headaches. (1).
{"title":"Impact Factor Migraine on Biomarkers and ABO Blood Distribution in Karbala","authors":"Haithem Rauf Mohammed","doi":"10.37648/ijrmst.v16i01.003","DOIUrl":"https://doi.org/10.37648/ijrmst.v16i01.003","url":null,"abstract":"The great majority of headaches are harmless events characterized by discomfort in any region of the head. Pain can manifest unilaterally or bilaterally. Pain might be subtle and throbbing, or it can be intense and radiating. A common headache's length can also vary substantially. Simple headaches caused by stress, excessive alcohol use, smoking, and weariness are easily cured with aspirin and calm slumber. The cause of more complicated headaches is unknown, however it could be due to aberrant nerve activity, regional changes in brain blood flow, or the improper release of pain-transmitting neuropeptides. Headaches are divided into two types: primary headaches and secondary headaches. (1).","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131997760","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v11i02.022
Shreyansh Balhara
In the ongoing situation, we run over different issues in India's drug store network, which can address with various ideas. Since a medication's proprietorship changes from producer to the merchant and afterwards to the drug specialist previously arriving at the client. The designers don't have an idea how their medication is being used. Simultaneously, customers don't know whether the medication came from a legitimate source, including incorrect data, lack of transparency, and local information provenance. It is hard to recognize forgeries because these medications go through complex circulated networks, opening doors for fakes to enter the credible production network. Most existing track-and-follow systems are concentrated, prompting information protection, transparency and genuinely issues in medical services supply chains. A start-to-end drug global positioning system across the drug inventory network is a Web Application for this task. It attempts to anticipate drug forging and adding traceability, security, and perceivability to the drug production network using Blockchain innovation and the AWS S3 system.
{"title":"EMPLOYABLITY OF BLOCKCHAIN TOOLS AND TECHNIQUES FOR EFFICACIOUS TRACEABILITY OF DRUGS IN HEALTHCARE SYSTEMS","authors":"Shreyansh Balhara","doi":"10.37648/ijrmst.v11i02.022","DOIUrl":"https://doi.org/10.37648/ijrmst.v11i02.022","url":null,"abstract":"In the ongoing situation, we run over different issues in India's drug store network, which can address with various ideas. Since a medication's proprietorship changes from producer to the merchant and afterwards to the drug specialist previously arriving at the client. The designers don't have an idea how their medication is being used. Simultaneously, customers don't know whether the medication came from a legitimate source, including incorrect data, lack of transparency, and local information provenance. It is hard to recognize forgeries because these medications go through complex circulated networks, opening doors for fakes to enter the credible production network. Most existing track-and-follow systems are concentrated, prompting information protection, transparency and genuinely issues in medical services supply chains. A start-to-end drug global positioning system across the drug inventory network is a Web Application for this task. It attempts to anticipate drug forging and adding traceability, security, and perceivability to the drug production network using Blockchain innovation and the AWS S3 system.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134255305","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v11i02.020
Samriti Dhamija
Unexpected hindrances of pathways bring strokes to the heart and cerebrum. Various classifiers have been developed to identify early stroke warning side effects, including Logistics Regression, Decision Tree, KNN, Random Forest, and Naïve Bayes. Besides, the proposed research has acquired a precision of around 95.4%, with the Random Forest beating different classifiers. This model has the most elevated stroke forecast accuracy. Accordingly, Random Forest is the ideal classifier for anticipating stroke, which specialists and patients can use to early endorse and recognize likely strokes. Here in our examination, we have made a site to which the model is unloaded/stacked to such an extent that the connection point will be cordial to the end clients.
{"title":"LEVERAGING THE MACHINE LEARNING ALGORITHMS TO EFFICACIOUSLY PREDICT THE RISK PARAMETERS OF STROKE","authors":"Samriti Dhamija","doi":"10.37648/ijrmst.v11i02.020","DOIUrl":"https://doi.org/10.37648/ijrmst.v11i02.020","url":null,"abstract":"Unexpected hindrances of pathways bring strokes to the heart and cerebrum. Various classifiers have been developed to identify early stroke warning side effects, including Logistics Regression, Decision Tree, KNN, Random Forest, and Naïve Bayes. Besides, the proposed research has acquired a precision of around 95.4%, with the Random Forest beating different classifiers. This model has the most elevated stroke forecast accuracy. Accordingly, Random Forest is the ideal classifier for anticipating stroke, which specialists and patients can use to early endorse and recognize likely strokes. Here in our examination, we have made a site to which the model is unloaded/stacked to such an extent that the connection point will be cordial to the end clients.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131816588","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v11i02.017
Nighat Ara, R. Bajwa
The goal of this research was to determine how well nurses at a tertiary care hospital in Karachi, Srinagar, knew and practiced post-cardiac catheterization patient care. goal-oriented research A research to evaluate the impact of a planned training programmed for staff nurses working in a tertiary care hospital in Srinagar on their understanding of post-operative care for cardiac patients. Trauma victims are still at risk for deep vein thrombosis (DVT). Only 10% of those who need DVT prophylaxis are given it, while the other 90% are denied treatment due of a lack of knowledge and awareness. Deep vein thrombosis is a life-threatening disorder that may result in death. The quality of care delivered was evaluated via the use of an observational instrument as well as a survey administered to 30 randomly selected participants. It used a pre-validated questionnaire in the survey. Between the months of September 2011 and November 2011, the team conducted their investigation. The investigation was conducted on staff nurses from the cardiology critical care unit and the cardiology medical ward. A staff nurse with more than five years of experience is more knowledgeable than a staff nurse who has less than five years of experience. A p value of 0.015 was found to be significant when these two were compared. Based on what I've seen, the level of care provided is acceptable.
{"title":"A STUDY TO ASSESS THE EFFECTIVENESS OF A PLANNED TEACHING PROGRAMME ON KNOWLEDGE REGARDING POST OPERATIVE CARE OF CARDIAC PATIENTS AMONG STAFF NURSES WORKING IN A TERTIARY CARE HOSPITAL IN SRINAGAR","authors":"Nighat Ara, R. Bajwa","doi":"10.37648/ijrmst.v11i02.017","DOIUrl":"https://doi.org/10.37648/ijrmst.v11i02.017","url":null,"abstract":"The goal of this research was to determine how well nurses at a tertiary care hospital in Karachi, Srinagar, knew and practiced post-cardiac catheterization patient care. goal-oriented research A research to evaluate the impact of a planned training programmed for staff nurses working in a tertiary care hospital in Srinagar on their understanding of post-operative care for cardiac patients. Trauma victims are still at risk for deep vein thrombosis (DVT). Only 10% of those who need DVT prophylaxis are given it, while the other 90% are denied treatment due of a lack of knowledge and awareness. Deep vein thrombosis is a life-threatening disorder that may result in death. The quality of care delivered was evaluated via the use of an observational instrument as well as a survey administered to 30 randomly selected participants. It used a pre-validated questionnaire in the survey. Between the months of September 2011 and November 2011, the team conducted their investigation. The investigation was conducted on staff nurses from the cardiology critical care unit and the cardiology medical ward. A staff nurse with more than five years of experience is more knowledgeable than a staff nurse who has less than five years of experience. A p value of 0.015 was found to be significant when these two were compared. Based on what I've seen, the level of care provided is acceptable.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"199 S592","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132904935","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v13i01.005
Pahuja Geetika, G. Shivani, A. Praveen, M. Kamaraj, N. Tanuja
Context: As the increasing herb-drug interactions have posed many questions about the safety and efficacy of concomitant use of many herbs and drugs. An attempt has been made to study the effect of Jamun (Syzygium cumini (L.) Skeels) seed powder (JSP) and metformin in diabetic rats. Aim: Interaction between JSP and Metformin Settings and Design: Dabur Research Foundation, Ghaziabad. Methods and Material: Sprague Dawley rats were divided into five groups of six each and were fasted for 2 hr before the experiment with water ad libitum. All Group G1 & G2 received, citrate buffer, group G3 received 500 mg/kg body weight of JSP, G4 received metformin 200 mg/kg BW, and G5 received JSP + metformin 200 mg/kg body weight each respectively. Diabetes was induced by administering an i.p. injection of nicotinamide at the dose of 110mg/kg 15 min. before the 50 mg/kg STZ injection in an ice-cold 0.1 M citrate buffer (pH 4.5). Blood glucose levels were measured using a glucometer. Statistical analysis: Body weight was analyzed by two-way ANOVA, rest data by one-way ANOVA. Data expressed as Mean ± SEM. Results: The combined treatment showed a 25.37% and 43.0% reduction in BGL which is more than the individual effect of JSP and metformin on Day 1 and 8 respectively. Conclusions: The results indicate that the combination of JSP and metformin is having an additive effect and can be used safely to obtain a prolonged and sustained antidiabetic effect. Clinical significance: JSP along with Metformin can be given to manage very high blood glucose levels and also conditions like secondary failures to OHAs
{"title":"Effect of Concomitant Use of Syzygium Cumini (L.) Skeels Seed Powder and Metformin: An In-vivo Interaction Study","authors":"Pahuja Geetika, G. Shivani, A. Praveen, M. Kamaraj, N. Tanuja","doi":"10.37648/ijrmst.v13i01.005","DOIUrl":"https://doi.org/10.37648/ijrmst.v13i01.005","url":null,"abstract":"Context: As the increasing herb-drug interactions have posed many questions about the safety and efficacy of concomitant use of many herbs and drugs. An attempt has been made to study the effect of Jamun (Syzygium cumini (L.) Skeels) seed powder (JSP) and metformin in diabetic rats. Aim: Interaction between JSP and Metformin Settings and Design: Dabur Research Foundation, Ghaziabad. Methods and Material: Sprague Dawley rats were divided into five groups of six each and were fasted for 2 hr before the experiment with water ad libitum. All Group G1 & G2 received, citrate buffer, group G3 received 500 mg/kg body weight of JSP, G4 received metformin 200 mg/kg BW, and G5 received JSP + metformin 200 mg/kg body weight each respectively. Diabetes was induced by administering an i.p. injection of nicotinamide at the dose of 110mg/kg 15 min. before the 50 mg/kg STZ injection in an ice-cold 0.1 M citrate buffer (pH 4.5). Blood glucose levels were measured using a glucometer. Statistical analysis: Body weight was analyzed by two-way ANOVA, rest data by one-way ANOVA. Data expressed as Mean ± SEM. Results: The combined treatment showed a 25.37% and 43.0% reduction in BGL which is more than the individual effect of JSP and metformin on Day 1 and 8 respectively. Conclusions: The results indicate that the combination of JSP and metformin is having an additive effect and can be used safely to obtain a prolonged and sustained antidiabetic effect. Clinical significance: JSP along with Metformin can be given to manage very high blood glucose levels and also conditions like secondary failures to OHAs","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132276895","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}
Pub Date : 1900-01-01DOI: 10.37648/ijrmst.v14i01.018
Hasan Ali Abdulhussein
The most common type of widely in usage group of medicines throughout our nation, as they are worldwide - and they are frequently consumed in an inconsequential manner. In this study, the use of antibiotics in the 245-bed Al-Furat Academic Medical Center, the reason for starting whether they are the antibiotics used make sense or not were investigated according to the method of point spread. On February 8, 2022, Patients at our facility were assessed for antibiotic use using the point of privilege method. Patients under the age of 18 were not included in the investigation. Chi-square and Fisher's exact chi-square tests were used in the analytical statistics. 60 (27.2%) of the 221 hospitalized patients in Utilizing antibiotics in our hospital. Of these patients, 33 (54.4%) were in surgical departments, while 27 (45.6%) were in units that handled internal medicine. Antibiotics were used prophylactically in 36.5% of cases, definitely in 14.5%, and empirically in 49% of cases. In 36 patients (59.3%), the use of antibiotics was found to be reasonable, while in 24 patients, it was found to be irrational. (40.7%). when the status of counseling on infectious diseases an investigation; 23 Consultations with patients 37 Not one patient was contacted to an infectious disease specialist. It was noted that 98% of cases of Antibiotic use was unreasonable in people who had not been treated for infectious illnesses (p 0.0001). When compared to internal medicine units, where illogical antibiotic usage was significantly lower (n = 4, 16%), surgical units (n = 20, 61%) had much higher rates (p 0.0001). Cephalosporin's, beta-lactam/beta-lactamase inhibitors, quinolones, and carbapenems were the most often utilized antibiotics when taken as monotherapy, in that order. Carbapenems and piperacillin-tazobactam were the two medications most frequently utilized in pathogen-directed therapy. Consultation with an infectious disease specialist was a crucial factor in the wise use of antibiotics. Reviewing preventive measures, enhancing compliance with recommendations, and increasing the frequency of training provided by a hospital antibiotic use committee are significant when high rates of irrational antibiotic use in surgical units are taken into consideration.
{"title":"The Appropriateness of the Use of Antibiotics in Baghdad Hospitals: An Empirical Study in Al-Furat Hospital","authors":"Hasan Ali Abdulhussein","doi":"10.37648/ijrmst.v14i01.018","DOIUrl":"https://doi.org/10.37648/ijrmst.v14i01.018","url":null,"abstract":"The most common type of widely in usage group of medicines throughout our nation, as they are worldwide - and they are frequently consumed in an inconsequential manner. In this study, the use of antibiotics in the 245-bed Al-Furat Academic Medical Center, the reason for starting whether they are the antibiotics used make sense or not were investigated according to the method of point spread. On February 8, 2022, Patients at our facility were assessed for antibiotic use using the point of privilege method. Patients under the age of 18 were not included in the investigation. Chi-square and Fisher's exact chi-square tests were used in the analytical statistics. 60 (27.2%) of the 221 hospitalized patients in Utilizing antibiotics in our hospital. Of these patients, 33 (54.4%) were in surgical departments, while 27 (45.6%) were in units that handled internal medicine. Antibiotics were used prophylactically in 36.5% of cases, definitely in 14.5%, and empirically in 49% of cases. In 36 patients (59.3%), the use of antibiotics was found to be reasonable, while in 24 patients, it was found to be irrational. (40.7%). when the status of counseling on infectious diseases an investigation; 23 Consultations with patients 37 Not one patient was contacted to an infectious disease specialist. It was noted that 98% of cases of Antibiotic use was unreasonable in people who had not been treated for infectious illnesses (p 0.0001). When compared to internal medicine units, where illogical antibiotic usage was significantly lower (n = 4, 16%), surgical units (n = 20, 61%) had much higher rates (p 0.0001). Cephalosporin's, beta-lactam/beta-lactamase inhibitors, quinolones, and carbapenems were the most often utilized antibiotics when taken as monotherapy, in that order. Carbapenems and piperacillin-tazobactam were the two medications most frequently utilized in pathogen-directed therapy. Consultation with an infectious disease specialist was a crucial factor in the wise use of antibiotics. Reviewing preventive measures, enhancing compliance with recommendations, and increasing the frequency of training provided by a hospital antibiotic use committee are significant when high rates of irrational antibiotic use in surgical units are taken into consideration.","PeriodicalId":178707,"journal":{"name":"International Journal of Research in Medical Sciences and Technology","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770063","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}
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