scholarly journals A PROSPECTIVE OBSERVATIONAL STUDY ON MEDICATION USE PATTERN IN PATIENTS WITH RISK FACTORS OF CHRONIC KIDNEY DISEASE

Author(s):  
AVEZ ALI ◽  
PAWAN KUMAR ◽  
JAVED AKHTAR ANSARI ◽  
MEENAZ FATIMA ◽  
FIRDOUS IRRUM

Objectives: The current study was undertaken to review and assess the medication usage pattern in patients with chronic kidney disease (CKD). Methods: A 12-month prospective observational study was carried out at Shadan Teaching and General Hospital, Peerancheru (Hyderabad), involving 384 CKD patients considering the inclusion and exclusion criteria. Medication evaluation for optimization was done using the World Health Organization (WHO) core prescribing indicators. Data collected were entered using Microsoft Excel. Descriptive statistics such as mean, percentage, and standard deviation (SD) were used to present sociodemographic characteristics of the study participants. Results: Out of the total of 384 patients, 249 (65%) were male and 135 (35%) were female with a mean age of 58.28 (SD: 13.12). A total of 384 prescriptions were scrutinized with a total of 3634 drugs, out of which drugs acting on the cardiovascular system were the most prescribed drugs (36.37%). The average number of drugs per prescription was found to be 9.08 considering the total number of prescriptions. The percentage of drugs prescribed by generic name was 15.57%. The percentage of encounters with antibiotics was 25%, whereas the percentage of encounters with injections was 86%. The percentage of drugs prescribed from the Essential Drug List or Formulary was found to be 26.36%. Conclusion: Assessment of medication usage patterns using the WHO core indicators in CKD patients helps to reinforce the current hospital guidelines for the optimal usage of medications. The introduction of a clinical pharmacist along with a multidisciplinary team provides intensive care to the patients and helps to improve the clinical outcome.

Author(s):  
Pramila Arulanthu ◽  
Eswaran Perumal

: The medical data has an enormous quantity of information. This data set requires effective classification for accurate prediction. Predicting medical issues is an extremely difficult task in which Chronic Kidney Disease (CKD) is one of the major unpredictable diseases in medical field. Perhaps certain medical experts do not have identical awareness and skill to solve the issues of their patients. Most of the medical experts may have underprivileged results on disease diagnosis of their patients. Sometimes patients may lose their life in nature. As per the Global Burden of Disease (GBD-2015) study, death by CKD was ranked 17th place and GBD-2010 report 27th among the causes of death globally. Death by CKD is constituted 2·9% of all death between the year 2010 and 2013 among people from 15 to 69 age. As per World Health Organization (WHO-2005) report, 58 million people expired by CKD. Hence, this article presents the state of art review on Chronic Kidney Disease (CKD) classification and prediction. Normally, advanced data mining techniques, fuzzy and machine learning algorithms are used to classify medical data and disease diagnosis. This study reviews and summarizes many classification techniques and disease diagnosis methods presented earlier. The main intention of this review is to point out and address some of the issues and complications of the existing methods. It is also attempts to discuss the limitations and accuracy level of the existing CKD classification and disease diagnosis methods.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Ashraf I. Mikhail ◽  
Staffan Schön ◽  
Sylvia Simon ◽  
Christopher Brown ◽  
Jörgen B. A. Hegbrant ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hitoshi Minakuchi ◽  
Shu Wakino ◽  
Hidenori Urai ◽  
Arata Kurokochi ◽  
Kazuhiro Hasegawa ◽  
...  

Abstract The progression of chronic kidney disease (CKD) cannot be completely inhibited. We first explored factors contributing to CKD progression in patients with CKD in a prospective observational study. In the next phase, we focused on the effects of aldosterone, conducting a single-blinded placebo-controlled study using the selective mineralocorticoid receptor antagonist (MRA), eplerenone (25 mg/day). We recruited patients with CKD stage 2 and 3 whose plasma aldosterone concentration was above 15 ng/dL based on the prior data of a prospective observational study. In the CKD cohort study (n = 141), baseline plasma aldosterone concentration was identified as an independent contributory factor for the future rate of change in estimated glomerular filtration rate (eGFR). When the cut-off value for aldosterone was set at 14.5 ng/dL, the decline rate was significantly higher in patients with higher plasma aldosterone concentration (− 1.22 ± 0.39 ml/min/1.73 m2/year vs. 0.39 ± 0.40 ml/min/1.73 m2/year, p = 0.0047). In the final intervention study, in the eplerenone group, eGFR dropped at 6 months after the initiation of the study, and thereafter eGFR was maintained until the end of the study. At 24 months and 36 months, eGFR was significantly higher in the eplerenone group than in the placebo group. In conclusion, MRA can be an effective strategy in preventing CKD progression, especially in patients with high plasma aldosterone.


2018 ◽  
Vol 31 (0) ◽  
Author(s):  
Shamyr Sulyvan Castro ◽  
Camila Ferreira Leite ◽  
Juliana Elisa Baldin ◽  
Marilita Falangola Accioly

Abstract Introduction: Chronic kidney disease and hemodialysis normally have an impact on the functioning. Objective: To validate the Brazilian version of the World Health Organization Disability Assessment Schedule 2.0 in individuals with chronic kidney disease on hemodialysis treatment. Methods: The 36-item version was applied to interview 51 individuals with chronic kidney disease undergoing dialysis treatment. To ascertain the instrument’s applicability, its internal consistency and test-retest stability were studied. To check the validity, a convergent/divergent analysis was performed. Results: The participants answered the questions on the main instrument at two timepoints and on the World Health Organization Quality of Life Abbreviated instrument and the Kidney Disease Quality of Life - Short FormTM 1.3 once each. Cronbach’s α coefficient was appropriate in all domains except the “Getting along” domain. The test-retest coefficients were above the recommended value (> 0.70). Convergent and divergent validity analysis also showed consistent results by correlation coefficient assessment. Conclusion: The instrument is valid and reliable. This study supports the use of the questionnaire by presenting its appropriate psychometric properties. We suggest that some care should be taken specifically in the sexual questions of the “Getting along” domain.


2018 ◽  
Vol 8 (4) ◽  
pp. 134-139
Author(s):  
Babawale Taslim Bello ◽  
Olalekan Ezekiel Ojo ◽  
Olapeju Funke Oguntunde ◽  
Adedotun Ademola Adegboye

Author(s):  
Abha Kumari ◽  
Keshav Kumar ◽  
Manju Gari ◽  
Kumari Pallavi ◽  
Subhankar Choudhury

Background: Prescription error and irrational prescribing are the avoidable problems imposed on health care delivery system from prescriber side which must be addressed. Periodic prescription audit helps to curtail the error and irrational prescribing.Methods: A prospective observational study was conducted on patients visiting various Outpatient Department of RIMS, Ranchi, Jharkhand on all working days at 11:00 AM to 12:00 PM from 1 August 2018 to 31 July 2019. Various aspects of collected prescriptions were analyzed by using World Health Organization (WHO) prescribing indicators.Results: In this study, out of 700 prescriptions collected, 76 were excluded. Out of total 624 patients analyzed, 382 (61.28%) were male and 242 (38.72%) were female. 48 (7.69%) patients belonged to ≤18, 464 (74.36%) to 19-64 and 112 (17.95%) to ≥65 years of age group. Tablet (71%) was the most common dosage form. None of prescriptions were having registration number of the doctor. 242 (38.78%) prescriptions did not have a diagnosis duly written. The total no. of drugs prescribed in 624 prescriptions was 2176. Only 32 (5.13%) prescriptions were found to have medicines prescribed in block letters. Antibiotics (29%) were the most common class of drugs prescribed. Average number of drugs per prescription was 3.47. Only 48 (2.20%) drugs were prescribed by their generic name while total of injectables prescribed were 102 (4.68%). Total number of drugs from NLEM was 848 (38.97%). 196 (9.00%) drugs were fixed-dose combination.Conclusions: In our study, we found deficiencies in various parts of prescriptions. Prescribing pattern was not in accordance with WHO recommendation for prescribing practice.


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