case record form
Recently Published Documents


TOTAL DOCUMENTS

9
(FIVE YEARS 3)

H-INDEX

1
(FIVE YEARS 0)

2021 ◽  
Vol 14 (2) ◽  
pp. 597-606
Author(s):  
Dipankar Chakraborty ◽  
Ranjana S Kale ◽  
Lakshman Das ◽  
Mousumi Das ◽  
Sonali Kirde

The present study has been undertaken to evaluate the pattern of adverse drug reactions (ADRs) of intravenous anticancer (i.v.) drugs with their causality and severity in a tertiary health care set up. The study was an observational cross-sectional survey over a period of 18 months. The indoor patients who were diagnosed to have cancer and receiving i.v. anticancer drugs were included in the study. The details of the patients and ADRs were recorded at the time of visit or within one-month of occurrence of ADRs using case record form and ADR reporting form. A total of 374 patients on cancer chemotherapy were included in the study and ADR was seen in 293(78.34%) patients. Out of total 812 number of ADRs, most ADRs (51.60%) were G.I. system related, followed by skin and appendages related ADRs (23.88%). The association of females in developing haematological ADRs is statistically significant (p<0.05). Most common (19.80%) cause of ADRs was the use of combination of Cisplatin, Paclitaxel and 5 Fluorouracil. Most (90.02%) of the ADRs were categorized as ‘possible’ and the remaining (9.98%) as ‘probable/likely’. The maximum number of the ADRs were classified as ‘mild’(87.68%) followed by moderate (11.45%) and severe (0.86%). The mild reactions were more common as compare to moderate & severe category in G.I & haematology related ADRs (p<0.05).


2021 ◽  
Vol 8 (6) ◽  
pp. 835
Author(s):  
Shubhangi Verma ◽  
Omkar Kamble

Background: Acute coronary syndrome (ACS) refers to clinical symptoms pertaining to acute myocardial infarction. Bilirubin is an antioxidant that helps in removal of excessive heme. The aim of the study was to find the association of ACS and other risk factors for ACS with the total bilirubin levels in our setup.Methods: A cross sectional observational study was conducted on 100 cases attending the department of medicine in a Dr. Panjabrao Deshmukh Memorial Medical College, Amravati, Maharashtra. Patients fitting the eligibility criteria were subjected to data collection which was done using pre-designed case record form. The case record form had details of demography, detailed clinical history, physical examination and relevant investigations.Results: The mean age of the cases was 55.64±10.23 years with male preponderance. Majority of the patients presented with chest pain (83%) followed by shortness of breath (65%) and nausea/vomiting (33%). There was moderate significant correlation between total bilirubin levels and LDL levels (r=0.703; p value<0.001) and There was mild significant correlation between total bilirubin levels and TGs (r=0.403, p value<0.001) Based on the median value of 0.48 as cut off, 33% had bilirubin levels more than 0.48. Presence of diabetes and hyperlipidemias had significant association with the total bilirubin levels.Conclusions: Nearly 1/3rd of the patients in our study had high bilirubin levels. Higher bilirubin levels correlated well with presence of diabetes and presence of hyperlipidemias.  There was significant correlation between the serum LDL and TG levels with total bilirubin levels in the present study.


2020 ◽  
Author(s):  
Akash Bararia ◽  
Abhirup Ghosh ◽  
Chiranjit Bose ◽  
Debarati Bhar

Background and Study Aim: COVID 19 is the terminology driving peoples life in the year 2020 without a supportive globally high mortality rate. Coronavirus lead pandemic is a new found disease with no gold standard diagnostic and therapeutic guideline across the globe. Amidst this scenario our aim is to develop a prediction model that makes mass screening easy on par with reducing strain on hospitals diagnostic facility and doctors alike. For this prediction model, a neural network based on Chest X-ray images has been developed. Alongside the aim is also to generate a case record form that would include prediction model result along with few other subclinical factors for generating disease identification. Once found positive then only it will proceed to RT-PCR for final validation. The objective was to provide a cheap alternative to RT-PCR for mass screening and to reduced burden on diagnostic facility by keeping RT-PCR only for final confirmation. Methods: Datasets of chest X-ray images gathered from across the globe has been used to test and train the network after proper dataset curing and augmentation. Results: The final neural network-based prediction model showed an accuracy of 81% with sensitivity of 82% and specificity of 90%. The AUC score obtained is 93.7%. Discussion and Conclusion: The above results based on the existing datasets showcase our model capability to successfully distinguish patients based on Chest X-ray (a non-invasive tool) and along with the designed case record form it can significantly contribute in increasing hospitals monitoring and health care capability.


2016 ◽  
Vol 21 (3) ◽  
pp. 124-125
Author(s):  
John Preshanth Kumar Pathiraj ◽  
Manjunatha H. Hande ◽  
Murulidhar Varma ◽  
Chiranjoy Mukhyopadhay ◽  
Roshan David Jathanna ◽  
...  

Author(s):  
Swathi Burla

Objective: The present study was aimed to assess the drug prescribing pattern and analyze the prescribing pattern using Beers criteria among elderly patients aged over 60 years Materials and Methods: The present study was a prospective observational study conducted in the outpatient department of general medicine in a tertiary care hospital for the duration of three months. Institutional ethics committee approval was taken prior to initiation of the study. Written informed consent was taken from each study subject. A total of 287 subjects who were aged more than 60 years recruited into the study. The data was collected in a pre structured case record form. Subjects’ demographic details, medical conditions and drugs included in prescription their dose; frequency and duration were noted in case record form. Results: Among 287 subjects 91.64% subjects belonged to 61-70years age group, remaining 8.36% subjects were >71year older and 57.14% were males and 42.86% were females. Hypertension was the most common cause of attending hospital followed by diabetes mellitus, CNS disorders, respiratory, cardiovascular disorders other than hypertension and infectious diseases. A total of 1574 formulations containing 1669 active ingredients and 90 FDCs were prescribed. And only 152 formulations were prescribed from outside hospital formulary. The average number of drugs per prescription was 5.48±2.00. Among the individual drugs vitamin B complex was the most commonly prescribed drug Conclusion:  There is need for more rational prescribing and to form guidelines for safe and effective use of medicines in elderly patients.


1969 ◽  
Vol 34 (1) ◽  
pp. 68-81
Author(s):  
Maryjane Rees ◽  
Esther L. Herbert ◽  
Nadine H. Coates

Sign in / Sign up

Export Citation Format

Share Document