scholarly journals Cross sectional study on different doses of acenocoumarol with INR in a tertiary care hospital

2018 ◽  
Vol 7 (9) ◽  
pp. 1738
Author(s):  
Keerthi E. ◽  
Bhuvaneshwari S. ◽  
Periyanarkunan Ramaiya Murugesan ◽  
Priyadharshini T. ◽  
Sri Subiksha P.
Keyword(s):  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Individual Variability ◽  
Care Hospital ◽  
Simple Linear Regression ◽  
Cross Sectional ◽  
Narrow Therapeutic Range ◽  
The Relationship ◽  
Different Doses

Background: It is of high value to be assess the relationship between doses of Acenocoumarol and the INR values to offer better patient care. Since Acenocoumarol is a commonly used drug with a narrow therapeutic range it is essential to monitor the variations encountered in response to it to avoid drastic complications and to provide better health care. Aim: The aim of this study is to compare the INR values with different doses of Acenocoumarol, to compare the association of dose of Acenocoumarol with their respective INR and to find out the occurrence of bleeding with different doses of Acenocoumarol.Methods: The study was conducted in a Tertiary care hospital. 40 patients taking Acenocoumarol were recruited in the study. Relevant details like age, weight, dose of Acenocoumarol, INR and other concomitant drugs were obtained in a prospective manner. Correlation of dose of Acenocoumarol with respective INR was done by simple linear regression.Results: The relationship between dose and INR was analyzed using Simple linear regression and the scatter plot revealed no significant correlation between the dose and INR values. There is a lot of inter-individual variability in the dose response and thereafter the INR values.Conclusions: The dose of Acenocoumarol cannot predict INR values. Patient can ideally be started treatment on a low dose of Acenocoumarol and based on the INR values, dose can be titrated. There is a need for consideration of other factors which influence the dose and INR values. 

Confidence toward vaccination as reported by parents of children admitted to a tertiary care hospital in Riyadh, Saudi Arabia: A cross sectional study

Vacunas ◽  
2020 ◽  
Vol 21 (2) ◽  
pp. 95-104 ◽  
Author(s):  
Y.M. AlGoraini ◽  
N.N. AlDujayn ◽  
M.A. AlRasheed ◽  
Y.E. Bashawri ◽  
S.S. Alsubaie ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional

A Cross-sectional Study of Undiagnosed Fever in a Rural Population at a Tertiary Care Hospital of West Bengal

2018 ◽  
Vol 4 (3) ◽  
Author(s):  
Nandini Chatterjee ◽  
Supratick Chakraborty ◽  
Mainak Mukhopadhyay ◽  
Sinjon Ghosh ◽  
Bikramjit Barkandaj ◽  
...  
Keyword(s):  
Rural Population ◽  
West Bengal ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Cross Sectional

SOCIODEMOGRAPHIC AND ANTHROPOMETRIC PROFILE OF DIABETIC PATIENTS ATTENDING IN A DIABETIC CLINIC IN A TERTIARY MEDICAL COLLEGE AND HOSPITAL, WEST BENGAL

2021 ◽  
pp. 12-15
Author(s):  
Smarajit Banik ◽  
Sandip Saha ◽  
Sudipan Mitra ◽  
Ujjwal Pattanayak ◽  
Rajib Sikder ◽  
...  
Keyword(s):  
West Bengal ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Diabetes Clinic ◽  
Cross Sectional ◽  
Medical College ◽  
Study Participants

Background: Diabetes mellitus is one of the important causes of morbidity and mortality. With a rise in non communicable diseases in India, diabetes has become a modern epidemic showing a rising trend in West Bengal also. A large number of diabetes patients come to the diabetes clinic of our tertiary care hospital in North Bengal Medical College and Hospital, Darjeeling, West Bengal. The large proportion of patients presenting with this condition prompted us to study the Sociodemographic and Anthropometric Prole of such patients. Methods: This was a descriptive hospital based cross sectional study involving a total of 344 diabetic patients enrolled in the diabetes clinic of a tertiary care teaching hospital from December 2019 to February 2020. A self-administered questionnaire was used to collect data and was analyzed in Microsoft excel sheet and using SPSS 20.0 software. Results: Among the 344 study participants, we found that 220 (63.95%) were males and 124 (36.05%) were females. Diabetes was more common among those aged 51-60 years 108 (31.40%). Family history was present among 188 (54.65%) of the diabetic patients. Almost 160 (46.51%) patients have diabetes 1.1 – 5 years. Hypertension was present among 216 (62.79%) patients. Almost 218 (63.37%) of the patients were overweight and 84 (24.42%) were obese. Conclusions: The diabetic patients presenting to this tertiary care hospital belong lower socioeconomic strata and having limited education in their age group. There is high proportion of obesity and hypertension among them.

scholarly journals SURVEY OF PATTERN OF DRUG INTERACTIONS IN PATIENTS BEING PRESCRIBED ANTI-DIABETIC MEDICATIONS IN A TERTIARY CARE HOSPITAL: PROSPECTIVE CROSS SECTIONAL STUDY

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Sujeet A. Divhare ◽  
Satyashil Ingale
Keyword(s):  
Diabetes Mellitus ◽  
Drug Interactions ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Care Hospital ◽  
Sectional Study ◽  
Potential Ddis ◽  
Cross Sectional

Background: Potential importance of drug –drug interactions (DDIs) is increasing as polypharmacy becomes more prevalent. Because additional data on the incidence and pattern of potential DDIs among diabetic patients are lacking in India, and supplemental pharmacodynamic or clinical outcome information is needed to address importance of a drug- drug interaction. Aim and objectives: To identify and analyze the pattern of DDIs in patients being prescribed anti-diabetic drugs in a tertiary care hospital. Material and Methods: This prospective cross-sectional study was carried out for a period of three months in 200 Type 2 diabetes mellitus (Type 2 DM) patients who were taking at least one antidiabetic agent during the period of past six months, of any age and either sex admitted in medicine ward of a tertiary care teaching hospital. Only one prescription was included for each patient on his/her 3rd day of hospitalization in the ward. Results: A total of 1217 drugs were prescribed in 200 prescriptions, resulting in an average of 6.1 drugs per prescription. A total of 637 potential DDIs were noted. The majority were seen in middle aged and elderly people. No overall difference was detected in the patients on insulin or metformin therapy taking or not taking additional drugs with the potential to interact. Worse control was found in the group of patients on sulphonylurea therapy taking interacting drugs (P <0.05). This difference was most marked in the group of patients over 60 years of age, who also had the highest intake of potentially interacting drugs (57%; <35 years-37%). Conclusion: Antidiabetic drugs have numerous interactions. A good practice is to use a drug­–drug interaction checker if any questions arise, several are available online. Quality care starts with the clinician obtaining a complete medication list for each patient at the start of each visit. Keywords: diabetes mellitus, drug interactions, hypoglycemic agents, drug therapy, co-morbidity, polypharmacy

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