scholarly journals SUN-339 VARIATIONS IN URINE OUTPUT AND SERUM CREATININE LEVELS IMMEDIATELY AFTER KIDNEY TRANSPLANTATION AND DURING POST-OPERATIVE HOSPITAL STAY PERIOD: EXPERIENCE IN TERTIARY CARE HOSPITAL OF BANGLADESH

2020 ◽  
Vol 5 (3) ◽  
pp. S340
Author(s):  
M.M. E KHODA ◽  
M.A. Rahim ◽  
I.J. Shimu ◽  
M.G. Hossain ◽  
A. Sharif ◽  
...  
2020 ◽  
Vol 10 (3) ◽  
pp. 149-151
Author(s):  
Mohammad Mehfuz E Khoda ◽  
Muhammad Abdur Rahim ◽  
Ishrat Jahan Shimu ◽  
Md Golzar Hossain ◽  
Ahmed Sharif ◽  
...  

Background: Kidney transplantation is the preferred treatment for end stage kidney disease (ESKD). Early post kidney transplant urine volume may correlate with favorable allograft survival. The aim of the present study was to examine the potential changes in urine volume with serum creatinine during post-operative hospital stay period after renal transplantation. Methods: We retrospectively reviewed the medical records of patients who had undergone kidney transplantation at Bangladesh Institute of Research and Rehabilitation of Diabetes, Endocrine and Metabolic Disorders (BIRDEM) General Hospital, Dhaka, Bangladesh between November 2004 and February 2019. Total patients were 133. Twenty four hour urine volume and serum creatinine levels were measured on day 1, day 5 and day 10 after operation. Correlation was performed by using Pearson correlation test. Results: The mean age of the renal allograft recipients was 36.7±10.3 years with male to female ratio of 2.7:1. The mean 24 hours urine volume on Day 1, Day 5 and Day 10 were 8990±5377 ml, 4860±2074 ml and 4485±1722 ml respectively and serum creatinine levels were 3.5±1.5 mg/dl, 1.6±1.2 mg/dl and 1.5±1.3 mg/dl respectively. Negative correlation were found between the Day 1, Day 5 and Day 10 serum creatinine and the urine volume (r=0.366, 0.507, 0.365 respectively) with significant p values (<0.01) in each group. Conclusion: Although urine volume showed considerable variation in early post renal transplantation, it stabilized by the course of time, which was also negatively correlated with the serum creatinine levels. Birdem Med J 2020; 10(3): 149-151


Cureus ◽  
2021 ◽  
Author(s):  
Bilal Khan ◽  
Usman Haqqani ◽  
Sajjad Ullah ◽  
Saima Hamayun ◽  
Zohra Bibi ◽  
...  

2021 ◽  
Vol 33 (2) ◽  
pp. 256-259
Author(s):  
Arpit Chelabhai Prajapati ◽  
Mansi Maulik Patel ◽  
Hardika Jamanadas Khanpara ◽  
Rujul Pankajbhai Shukla ◽  
Donald Shailendra Christian ◽  
...  

Background: Tertiary hospital care may vary from isolation bed ward care to high dependency units (HDUs) with oxygen support to intensive care unit (ICU) where patients may be intubated for mechanical ventilation The major risk factors for severe disease are age more than 60 years and underlying diseases like diabetes, hypertension. COVID-19 patients present at varying levels of severity. Understanding how long patients hospitalized with COVID-19 remain in hospital is critical for planning. Objectives: 1. To determine risk factors associated with disease severity 2. To determine risk factors associated with length of hospital stay in COVID-19 patients 3. To study the disease outcome Material & Methods: This was retrospective record-based study of inpatients with COVID-19 at Tertiary Care Hospital of Ahmedabad City. All patients admitted at tertiary care hospital diagnosed with COVID-19 between April 2020 to June, 2020, were included in present study. Inclusion criteria were all COVID-19 patients admitted at tertiary care hospital during the duration of April 2020 to June 2020. Results: A total of 916 COVID-19 patients were included in the study. Out of 916 total admitted patients 526 (57.4%) were male. 174 (19%) patients having one or more comorbidities like diabetes, hypertension, tuberculosis, heart diseases etc. Total 769 discharged (83.9%), 115 deaths (12.6%) and 32 transferred to other COVID-19 hospital (3.5%) out of total 916 patients admitted during study period. Conclusion: Severity of disease and deaths were associated with age and comorbidities. COVID-19 patients with comorbidities have more deteriorating outcomes compared with patients without.


Author(s):  
Jihana Shajahan

Introduction: Concomitant use of several drugs for a patient is often necessary for achieving therapeutic response. Understanding the profile of Drug-Drug Interactions (DDI) will help health care providers to optimise therapy for better patient outcomes, reinforcing the concept of rational drug use. Aim: To analyse the frequency, mechanisms and severity of DDIs in a tertiary care hospital at Kerala. Materials and Methods: A retrospective cross-sectional study among 350 inpatients of a tertiary care hospital in Kerala from August 2020 to September 2020. Prescriptions containing ≥3 drugs were collected from inpatient medical records. A drug interaction check was performed using the Lexicomp drug interaction checker software. Results: DDIs were present in 74.6% of prescriptions and the average number of interactions was found to be 2.78. Most number for interactions was in the age group 61-80. Average number of DDI was significantly high among patients >60 years. Percentage of prescriptions with DDI and average number of DDI was found to be increasing with increase in number of drugs. Average number of interactions were maximum (5.01) in the group >10. Drug groups most commonly involved in interactions were antiplatelets, oral hypoglycaemic agents, bronchodilators, antibiotics, diuretics, insulin, statins, beta blockers, Proton Pump Inhibitors (PPI) and Non-Steroidal Anti-Inflammatory Drugs (NSAIDs). The most common interventions for minimising the impact of DDIs were changing the timing of drug administration, monitoring for symptoms/signs/lab values/drug levels or both. There was a significant positive correlation between duration of hospital stay and number of DDI. Conclusion: This study threw light upon the pattern and profile of DDIs among inpatients of a tertiary care hospital in Kerala. Elderly people (>60 years) were most prone for DDIs. Percentage of prescriptions with DDI and average number of DDIs was found to be increasing with increase in number of drugs. There was a positive correlation between duration of hospital stay and number of DDI.


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