scholarly journals Pattern of Stroke in Diabetic and Non-Diabetic Patients Admitted at a Tertiary Care Hospital, a Cross Sectional Study

2021 ◽  
Vol 2 (5) ◽  
pp. 01-05
Author(s):  
Mubashir Ahmed ◽  
Sohail Ahmed Siddiqui ◽  
Abdul Haq ◽  
Atif Ahmed ◽  
Pir Abdul Hayee ◽  
...  

Objective: To determine the frequency of diabetic among stroke patients and to compare the pattern of stroke in diabetic and non-diabetic stroke patients admitted at a tertiary care hospital in Hyderabad, Sindh. Methods: A cross sectional study enrolled 148 consecutive adult acute stroke patients admitted at Liaquat University Hospital, Hyderabad, during Sep 2014 to Feb 2015. Demographic, clinical, radio-imaging and laboratory data were collected on structured questionnaire to identify diabetes, type of stroke and different risk factors of stroke. Data was entered and analysed by using SPSS version 16. Association was seen by using Pearson’s Chi-square test and Independent t test. A P value of < 0.05 was considered statistically significant. Results: A total of 148 acute stroke cases were enrolled in the study. Males were 92 (62%). Mean age of study participants was 51.21 ± 10.19 years. Diabetes was found in 104 (70.3%) stroke patients. Ischemic stroke was seen in 101 (68.2%) and haemorrhagic stroke seen in 47 (31.8) stroke patients. Diabetes was more common in ischemic stroke 81 (80.2) as compared to haemorrhagic stroke 23 (48.9%) (P< 0.05). Hospital mortality of stroke patients was 37 (25%). No difference of mortality in diabetic and non-diabetic (P>0.05) stroke patients was recorded. Conclusion: Diabetes was found in majority of stroke patients. Ischemic stroke was more common than haemorrhagic stroke. Ischaemic stroke is more prevalent in diabetic whereas haemorrhagic stroke was more in non-diabetic stroke patients. Prognosis of stroke was bad in both diabetic and non-diabetic stroke patients.

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 ◽  
...  

Author(s):  
Nandini Chatterjee ◽  
Supratick Chakraborty ◽  
Mainak Mukhopadhyay ◽  
Sinjon Ghosh ◽  
Bikramjit Barkandaj ◽  
...  

Author(s):  
Sujeet A. Divhare ◽  
Satyashil Ingale

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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