Literature DB >> 34514206

Prescription Practices in Patients With Mild to Moderate CKD in India.

Narayan Prasad1, Ashok Kumar Yadav2, Monica Kundu3, Jasmin Sethi4, Ajay Jaryal5, Dipankar Sircar6, Gopesh K Modi7, Kajal Kamboj4, Manisha Sahay8, Natarajan Gopalakrishnan9, Prabhjot Kaur4, Sanjay Vikrant5, Santosh Varughese10, Seema Baid-Agrawal11, Shivendra Singh12, Sishir Gang13, Sreejith Parameswaran14, Vivek Kumar4, Arpita Ghosh3, Vivekanand Jha3,15,16.   

Abstract

INTRODUCTION: Patients with chronic kidney disease (CKD) require multiple medications. There is no information on prescription patterns or the use of evidence-based therapies for management of CKD from low-middle-income countries. Using baseline data from the Indian CKD (ICKD) cohort, we describe the drug prescription practices in patients with mild to moderate CKD.
METHODS: The ICKD study is a prospective, observational cohort study of mild to moderate kidney disease across 11 centers in India. We analyzed all the prescriptions captured at enrollment in the ICKD study. Drugs were categorized into 11 different groups. We provide descriptive data on prescription details and evaluate the appropriateness of medication use.
RESULTS: Complete prescription data were available in 3966 out of 4056 (97.8%) subjects enrolled in the ICKD database. Most patients had stage 3 CKD, 24.9% had diabetic kidney disease, 87% had hypertension, and 25.5% had moderate to severe proteinuria. Renin-angiotensin-aldosterone system blockers were prescribed in less than half (47.9%) and in 58.8% of patients with proteinuric CKD. Metformin was prescribed in 25.7% of diabetic subjects with CKD. Only 40.4% of patients were taking statins; 31.1% and 2.8% subjects with anemia were receiving iron and erythropoiesis-stimulating agents, respectively.
CONCLUSION: This study highlights the missed opportunities for improving outcomes through appropriate prescriptions of drugs in patients with CKD. There is need for dissemination of evidence-based guidelines and institution of sustainable implementation practices for improving the overall health of patients with CKD.
© 2021 International Society of Nephrology. Published by Elsevier Inc.

Entities:  

Keywords:  antihypertensives; chronic kidney diseases; indigenous medicines; prescription pattern

Year:  2021        PMID: 34514206      PMCID: PMC8418981          DOI: 10.1016/j.ekir.2021.06.011

Source DB:  PubMed          Journal:  Kidney Int Rep        ISSN: 2468-0249


Chronic kidney disease (CKD) is an important global public health problem.1, 2, 3 The Global Burden of Disease (GBD) study has highlighted the disproportionate burden of CKD in emerging countries. India is a lower-middle-income country with almost 16% of the world’s population. About 115 million people had CKD in India in 2017, with about 230,000 deaths attributable to CKD.1, 2, 3 The Million Death Study documented a 50% increase in deaths caused by kidney failure in India between 2001 to 2003 and 2011 to 2013. There are several evidence-based approaches—both nonpharmacologic and pharmacologic—to slow down or halt the progression of kidney disease and prevent or treat CKD-associated complications, such as cardiovascular disease, anemia, and mineral and bone disorders.5, 6, 7 They include maintaining a healthy lifestyle, blood pressure and blood sugar control, the use of renin-angiotensin blockers, lipid-lowering therapies, other cardioprotective therapies like antiplatelet agents, and correction of anemia and mineral and bone disorders. Patients may also require symptomatic treatment, for example, for the management of fluid retention., As a result, patients with CKD are taking multiple medications, making rational drug prescription an arduous task.10, 11, 12, 13 Patients with CKD are also at higher risk of medication-related problems.,, Therefore, medication management in CKD offers unique challenges but presents providers with opportunities to enhance the quality of care for this high-risk population. Implementing strategies based on the risks and benefits of all prescribed agents, and deprescribing and prescribing as indicated, may improve patient outcomes. The use of multiple medications increases the cost of therapy as well as the risk of nonadherence. Therefore, it is important to ensure that evidence-based treatments that improve the outcomes are prioritized over those not supported by high-quality evidence. Studies on prescriptions in CKD and other chronic conditions like heart failure show that multiple factors, including socioeconomic conditions, visit to the general physicians versus specialists, and prevalent practice in that country affect the prescription pattern. 15, 16, 17, 18 There are no large data sets on the prescription pattern of the medications in patients with CKD from the developing world. We describe prescription patterns at enrollment in patients with mild to moderate CKD included in the large ICKD cohort study.

Methods

The ICKD study is a longitudinal study of subjects with mild to moderate CKD recruited at 11 centers across India. All centers except 2 are public sector hospitals. The study design has been previously published. Briefly, the study recruits adult subjects between 18 and 70 years of age who have mild to moderate CKD and who are attending outpatient nephrology clinics at participating centers. Both incident and prevalent patients are eligible for enrollment. Patients undergoing dialysis, organ transplant recipients, those with malignancy, on immunosuppressive drug therapy, or with poor functional status are excluded. Subjects are being followed-up annually, and prescription as well as outcome data are being collected. Demographic details, diagnosis, comorbidities, clinical features, laboratory findings, and treatment details are recorded and stored anonymously in a secure database. The study has approval from the institutional review boards at all centers, and all participants provide written informed consent. We included subjects with complete prescription data at recruitment in this analysis. Patients were categorized into different stages of CKD stages 1 to 4 as per estimated glomerular filtration rate (eGFR) used in Kidney Disease: Improving Global Outcomes (KDIGO) staging. eGFR was calculated using creatinine-based CKD Epidemiology Collaboration (CKD-EPICr) equation. Educational status, employment status, living in rural or urban residence, hazardous occupational exposure, and alternative medication use (defined as use of indigenous, ayurvedic, or other unregulated medications) were captured. Directed questions to ascertain occupational exposure, the use of alternative drugs, and the use of nonsteroidal anti-inflammatory drugs after diagnosis of CKD were incorporated in the study questionnaire. Data regarding the use of alternative drugs in relation to onset of kidney disease were also recorded. The diagnosis of CKD and comorbidities were made after a review of history and medical records. Diabetes, hypertension, and cardiovascular disease were defined as per prevailing standards for diagnosis. Anemia was diagnosed and classified as per World Health Organization criteria. Data were collected from the most recent prescription slip and verbal inquiry and then classified into 11 different categories used for the management of CKD or its complications: antihypertensives, antidiabetics, phosphate binders, iron supplementation, erythropoiesis-stimulating agent (ESA) therapy, lipid-lowering therapy, antiplatelet drugs, uric acid–lowering drugs, vitamin D analogues, sodium bicarbonate, and multivitamins. The antihypertensives were further categorized as drugs that block angiotensin system, that is, angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs), calcium channel blockers, beta blockers, central sympatholytics, and diuretics. The antidiabetics insulin or oral hypoglycemic agents, such as sulfonylureas, metformin, or dipeptidyl-peptidase 4 inhibitors, were also noted. Phosphate binders were divided into calcium or non–calcium-based phosphate binders. The use of phosphate binder in patients with or without hyperphosphatemia was also analyzed. The distribution of proportions of these categories of medicines as per CKD stages 1 to 4 was analyzed.

Statistical Analysis

The statistical analysis was descriptive. Data were analyzed using Stata statistical software (version 14; Stata Corp LP, College Station, TX). Both descriptive and analytical statistics were performed showing sociodemographic, clinical, and biochemical characteristics of participants. The continuous variables were expressed as mean ± SD and median (25th, 75th percentile), and the categorical values were expressed in number and percentage in parenthesis. Distribution of various drugs across the CKD stages or in other subcategories are descriptive and presented as number (percentage).

Results

Of 4056 patients recruited in the ICKD database, complete prescription data at baseline were available in 3966 (97.8%) patients, who constitute the study population for this paper. Table 1 shows the clinical characteristics and causes of CKD in the cohort. The mean age of the cohort participants was 50.3 ± 11.8 years, and 67.2% were male. A majority were either uneducated (26.9%) or had only completed primary school but did not pass high school education (34%). A total of 64.7% patients had a rural background, and 50.4% had a history of hazardous occupational exposure. The median annual income was $1680 USD (interquartile range $1008–$4200 USD), and 32.1% had access to some form of medical insurance. Patients spent 11.7% (4.7%–26.0%) of their total annual household income on medical care. In 57%, the cost of care was >10% of their nonfood expenditure.
Table 1

Baseline characteristics of participants in the Indian Chronic Kidney Disease study

CharacteristicsOverall (n = 4056)Missing prescription data (n = 90)
Socioeconomic factors
Male gender2725 (67.2)54.0 (60.0)
Age, yrs50.3 ± 11.844.6 ± 13.7
Education
 Uneducated1088 (27.0)27 (30.3)
 Below high school1374 (34.0)29 (32.6)
 Completed school538 (13.3)14 (15.7)
 College and above1038 (25.7)19 (21.4)
Rural residence2626 (64.7)65 (72.2)
Hazardous occupational exposurea2035 (50.4)24 (27.0)
Hypertension3487 (87.0)52 (59.1)
Diabetes1485 (37.5)18 (20.5)
Cardiovascular disease876 (21.8)16 (19.5)
Tobacco use747 (18.6)10 (11.5)
Medical insurance available1276 (32.1)21 (23.9)
Annual income, USD$1680 ($1008–$4200)$1680 ($756–$3780)
Annual medication cost, USD$285.6 ($84.0–$571.2)$319.2 ($161.3–$537.6)
BMI, kg/m224.4 (21.6–27.4)22.6 (20.4–26.7)
Systolic blood pressure, mm Hg130 (120–144)133 (122–146)
Diastolic blood pressure, mm Hg80 (78–90)84 (70–90)
eGFR, ml/min/1.73m240.5 (33.7–50.8)37.0 (30.8–49.0)
uACR, mg/g29.2 (10.7–304.3)11.3 (8.2–194.6)
 <3002817 (74.5)60 (81.1)
 300–1000583 (15.4)10 (13.5)
 >1000384 (10.1)4 (5.4)
Causes of CKD
 CAKUT37 (0.9)1 (1.1)
 Chronic glomerulonephritis598 (14.8)18 (20.0)
 Chronic interstitial nephritis940 (23.2)18 (20.0)
 Diabetic kidney disease1011 (24.9)17 (18.9)
 Hypertensive nephrosclerosis320 (7.9)3 (3.3)
 Other208 (5.1)11 (12.2)
 Polycystic kidney disease139 (3.4)2 (2.2)
 Renovascular disease15 (0.4)0.00
 Unknown788 (19.4)20 (22.2)

BMI, body mass index; CAKUT, congenital anomalies of the kidney and urinary tract; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; uACR, urine albumin to creatinine ratio; USD, U.S. dollar.

Data shown as mean ± SD, median (25th–75th percentile), and n (%).

Work performed around sand, dust, chemicals, or animals, or working barefoot in fields.

Baseline characteristics of participants in the Indian Chronic Kidney Disease study BMI, body mass index; CAKUT, congenital anomalies of the kidney and urinary tract; CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; uACR, urine albumin to creatinine ratio; USD, U.S. dollar. Data shown as mean ± SD, median (25th–75th percentile), and n (%). Work performed around sand, dust, chemicals, or animals, or working barefoot in fields. The study cohort included 100 (2.5%) patients in stage 1; 309 (7.8%) in stage 2; 3131 (79%) in stage 3, and 426 (10.7%) in stage 4 CKD. The most commonly identified causes of CKD were diabetic kidney disease (24.9%) and chronic interstitial nephritis (23.2%), whereas the cause of CKD could not be determined in approximately 788 (19.4%) participants. Hypertension was the most common associated comorbidity, reported by 87% of participants. This was followed by anemia (64.7%), diabetes (37.5%), and other cardiovascular morbidities (21.8%). The medication burden with the number of different drug classes is shown in Figure 1. The median (25th–75th percentile) number of prescribed drugs was 5 (3–6) in the study cohort. More than half of patients were taking >5 different drug classes. A total of 924 (22.7%) patients admitted using alternative therapies. Five hundred twenty-two (56.5%) patients had used these drugs within 4 weeks before their diagnosis of kidney disease, and 252 (27.3%) patients had used these drugs for the treatment of kidney disease. A total of 624 (15.7%) participants admitted to using nonsteroidal anti-inflammatory drugs even after their diagnosis of CKD. A detailed description of prescription pattern is shown in Table 2.
Figure 1

Frequency of use of different classes of drugs in the study cohort.

Table 2

Distribution of classes of drugs prescribed in different stages of CKD

Drugs, n (%)CKD stage (n)
Total (N = 3966)
1 (100)2 (309)3 (3131)4 (426)
Antihypertensive drugs89 (89.0)256 (82.9)2525 (80.7)339 (79.6)3209 (80.9)
 Beta-blockers13 (13.0)64 (20.7)881 (28.1)118 (27.7)1076 (27.1)
 Calcium channel blockers18 (18.0)119 (38.5)1348 (43.1)203 (47.7)1688 (42.6)
 Alpha blockers7 (7.0)26 (8.4)349 (11.2)40 (9.4)422 (10.7)
 ACE inhibitors31 (31.0)78 (25.2)711 (22.7)73 (17.1)893 (22.5)
 ARBs47 (47.0)111 (35.9)793 (25.3)57 (13.4)1008 (25.4)
 Diuretics14 (14.0)70 (22.7)905 (28.9)148 (34.7)1137 (28.7)
 Central sympatholytic2 (2.0)6 (1.9)93 (3.0)17 (4.0)118 (3.0)
Phosphate binders36 (36.0)119 (38.5)1090 (34.8)210 (49.3)1455 (36.7)
 Calcium-based36 (36.0)114 (36.9)979 (31.3)165 (38.7)1294 (32.6)
 Non–calcium based0 (0)5 (1.6)122 (3.9)48 (11.3)175 (4.4)
Iron supplements21 (21.0)64 (20.7)820 (26.2)140 (32.9)1045 (26.4)
 Oral21 (21.0)63 (20.4)817 (26.1)138 (32.4)1039 (26.2)
 Intravenous0 (0)1 (0.3)6 (0.2)2 (0.5)9 (0.2)
Erythropoiesis-stimulating agents1 (1.0)9 (2.9)79 (2.5)23 (5.4)112 (2.8)
 Erythropoietin1 (1.0)8 (2.6)65 (2.1)17 (4.0)91 (2.3)
 Darbepoietin0 (0)1 (0.3)10 (0.3)4 (0.9)15 (0.4)
 Others0 (0)0 (0)4 (0.1)2 (0.5)6 (0.2)
Sodium bicarbonate11 (11.0)92 (29.8)1367 (43.7)230 (54.0)1700 (42.9)
Antiplatelet therapy8 (8.0)53 (17.2)707 (22.6)92 (21.6)860 (21.7)
 Clopidogrel1 (1.0)7 (2.3)129 (4.1)16 (3.8)153 (3.9)
 Aspirin8 (8.0)53 (17.2)659 (21.1)84 (19.7)804 (20.3)
Uric acid–lowering agent3 (3.0)37 (12.0)498 (15.9)60 (14.1)598 (15.1)
 Allopurinol0 (0)5 (1.6)31 (1.0)3 (0.7)39 (1.0)
 Febuxostat3 (3.0)32 (10.4)469 (15.0)57 (13.4)561 (14.2)
Statins27 (27.0)110 (35.6)1312 (41.9)153 (35.9)1602 (40.4)
Vitamin D3 compounds10 (10.0)17 (5.5)387 (12.4)55 (12.9)469 (11.8)
 Cholecalciferol or ergocalciferol9 (9.0)15 (4.9)248 (7.9)25 (5.9)297 (7.5)
 Calcitriol1 (1.0)2 (0.7)149 (4.8)29 (6.8)181 (4.6)
 Others0 (0)0 (0)4 (0.1)1 (0.24)5 (0.1)
Multivitamin5 (5.0)50 (16.2)845 (27.0)147 (34.5)1047 (26.4)

ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blocker; CKD, chronic kidney disease.

Frequency of use of different classes of drugs in the study cohort. Distribution of classes of drugs prescribed in different stages of CKD ACE, angiotensin-converting enzyme; ARB, angiotensin receptor blocker; CKD, chronic kidney disease.

Antihypertensive Therapies

Overall, 80.9% patients were taking antihypertensive medications. Of those with a diagnosis of hypertension, 92.5% were taking antihypertensive drugs, with a similar proportion between males and females. Subjects <60 years of age were more likely to be taking antihypertensive drugs compared with patients ≥60 years of age. Among those undergoing treatment, the recorded blood pressure was <140/90 mm Hg in 43%. The frequency of antihypertensive medications in subjects with hypertension is shown in Supplementary Table S1. The most commonly prescribed antihypertensive agents were renin-angiotensin-aldosterone system (RAAS) blockers in 47.9% (ACEIs 22.5%, ARBs 25.4%), followed by calcium channel blockers (42.6%), diuretics (28.7%), beta-blockers (27.1%), alpha-blockers (10.7%), and central sympatholytic drugs (3%; Table 2). A total of 72% of patients with stage 1 CKD, 59% of patients with stage 2 CKD, 47% of patients with stage 3 CKD, and 30% of patients with stage 4 CKD were prescribed RAAS blockers. The use of the calcium channel blockers increased and the use of ACEIs/ARBs decreased with advancing CKD stages. The number of antihypertensive drugs prescribed were: 1 in 1221 (30.8%), 2 in 1134 (28.6%), 3 in 598 (15.1%), 4 in 211 (5.3), and ≥5 to 7 in 45 (1.1%) patients with CKD. Of the 1467 subjects with diabetes, 55.8% were taking ACEIs/ARBs. Of the 967 patients with proteinuric illnesses (albumin to creatinine ratio >300 mg/g), 58.8% were prescribed ACEIs/ARBs.

Antidiabetic Prescriptions

Of 1467 participants with a diagnosis of diabetes (all type 2 disease), 959 (65.4%) were receiving ≥1 antidiabetic medicine: 27.7% were taking sulfonylureas, followed by insulin (26.4%), metformin (25.7%), dipeptidyl-peptidase 4 inhibitors (9.5%), and others (3.6%; Table 3). More than half (52.9%) of patients with stage 1 CKD, 30.1% of patients with stage 2 CKD, 26.2% of patients with stage 3 CKD, and 16.6% of patients with stage 4 CKD with diabetes were taking metformin (Table 3). Of 1310 and 157 patients with diabetes with GFR ≥30 ml/min/1.73m2 and <30 ml/min/1.73m2, 351 (26.80%) and 26 (16.60%) were taking metformin, respectively. More than one third (34.5%) of patients with diabetes were not receiving any antidiabetic drugs. Among those with a diagnosis of diabetes, the use of antidiabetic drugs was similar across sex and age groups, defined by ≥60 or <60 years of age.
Table 3

CKD stagewise distribution of antidiabetic drugs in subjects with diabetes

Drugs, n (%)CKD stage (n)
Total (N = 1467)
1 (17)2 (93)3 (1200)4 (157)
Overall13 (76.5)57 (61.3)802 (66.8)87 (55.4)959 (65.4)
Insulin5 (29.4)13 (14.0)331 (27.6)39 (24.8)388 (26.4)
Sulfonylureas5 (29.4)33 (35.5)337 (28.1)32 (20.4)407 (27.7)
Metformin9 (52.9)28 (30.1)314 (26.2)26 (16.6)377 (25.7)
DPP4 inhibitors2 (11.8)11 (11.8)118 (9.8)9 (5.7)140 (9.5)
Others0 (0)6 (6.8)38 (3.2)10 (6.4)54 (3.6)
Not taking any antidiabetic drug4 (23.5)36 (38.7)398 (33.2)70 (44.5)508 (34.6)

CKD, chronic kidney disease; DPP4, dipeptidyl-peptidase 4.

CKD stagewise distribution of antidiabetic drugs in subjects with diabetes CKD, chronic kidney disease; DPP4, dipeptidyl-peptidase 4.

Statins

Lipid-lowering therapy with a statin was prescribed to a total of 40.4% of patients. A majority (58.1%) of patients with diabetes were receiving a statin. Of those >50 years of age, only 47.4% (59.5% of patients with diabetes and 35.2% of patients without diabetes) were prescribed a statin.

Phosphate Binders

Of 1455 (36.7%) patients who had been prescribed phosphate binders, a majority (1294; 89%) were given a calcium-based binder. The use of calcium-based phosphate binders was higher across all CKD stages (Table 2). The phosphate levels in subjects taking phosphate binder were 4.5 ± 1.4 mg/dl compared with 3.9 ± 1.2 mg/dl for those who were not taking a phosphate binder. Moreover, 52.1% of subjects with serum phosphate levels ≥4.5 mg/dl were not prescribed any phosphate binder.

Anemia Management

A total of 26.4% of patients were prescribed any iron compounds. Only 772 (31.1%) anemic subjects were taking iron supplements. Over 99% of the prescriptions were for oral iron agents. Only 112 (2.8%) had been prescribed an ESA with a majority (91; 2.3%) taking epoetin alfa. Of 181 patients with CKD with hemoglobin levels <9 g/dl, 14 (7.7%) were taking ESAs.

Other Therapies

Only 11.8% of the patients had a prescription of a vitamin D compound or its analogs. Calcitriol was prescribed to 4.6% patients and cholecalciferol to 7.5%. Overall, 42.9% of the patients had been prescribed sodium bicarbonate. A total of 21.7% were receiving any antiplatelet therapy, the majority (20.3%) taking aspirin. More than half (57.3%) of subjects with a history of cardiovascular disease (CVD) were receiving antiplatelet therapy. Overall, 15.1% subjects were receiving uric acid–lowering therapy—a majority (14.2%) were taking febuxostat (Table 2).

Discussion

This is the first and the largest study documenting pharmacologic prescription practices among patients with CKD in the developing world. Compared with Western cohorts with CKD, the ICKD population is relatively young and predominantly from rural regions.22, 23, 24, 25, 26 We provide insight into treatment preferences and identify gaps with regard to the use of evidence-based therapies for the management of kidney disease in the context of slowing progression and the development of cardiovascular complications in resource-limited settings. A notable finding is the suboptimal use of drugs that block the renin-angiotensin pathway and lipid-lowering agents. On the other hand, we identify the use of non–evidence-based therapies, such as uric acid lowering agents. These identify important knowledge gaps that need to be addressed through targeted education of nephrologists and general physicians as well as the implementation of incentives. Adoption of evidence-based approaches will not only improve patient outcomes but will also result in cost savings by preventing the development of kidney failure and/or complications that require expensive therapies. Compelling evidence to show that drugs that block renin-angiotensin-aldosterone pathway have a salutary effect on hard clinical outcomes in patients with CKD is available from large-scale, randomized clinical trials. Less than half of the prescriptions in the ICKD cohort included ACEIs and/or ARBs. Even among patients with proteinuric illnesses, where the indication for their use is the strongest (class I recommendation by KDIGO Blood Pressure Guidelines), only 59% had been prescribed an ACEI/ARB. Similarly, only 56% of those with diabetic kidney disease were taking these agents. We also noted a decline in the use of RAAS blockers with increasing CKD severity. Only 30% of patients with stage 4 CKD were taking these agents. In the Chronic Renal Insufficiency Study (CRIC) cohort, 70% were receiving RAAS blockers, with as much as 75% and 37% of those in stage 3 and stage 5 CKD, respectively. In the German CKD study, about 83% received RAAS blockers. In addition to retarding CKD progression, RAAS blockers reduce the risk of heart failure and death regardless of disease severity. In a meta-analysis, the International Network of CKD cohorts documented wide variations in antihypertensive prescription patterns and blood pressure control internationally. RAAS blocker use ranged from 54% to 91%. Calcium channel blockers were more frequently used in Asian cohorts. Whether this is related to drug preference, availability, or ease of monitoring is not known. Among patients with diabetes, sulfonylureas were the most frequently prescribed oral hypoglycemic agents. Only a minority of patients were taking metformin, even among those with an eGFR >30 ml/min/1.73m2. This differs from the dominant use of metformin (55%–91%) in the general diabetes population in India.31, 32, 33 Despite the recommendation by guidelines to use metformin in view of its multiple advantages, <25% of people with diabetes were taking this agent. Concern for side effects could have influenced its restricted use. However, the current UK National Institute of Health and Clinical Practice Guidelines on the treatment of type 2 diabetes mellitus and KDIGO Clinical Practice Guideline for Diabetes Management in CKD allow metformin use up to a GFR of 30 ml/min/1.73 m2, with dose reduction advised at 45 ml/min/1.73 m2., In the United States, metformin is contraindicated for men with serum creatinine ≥1.5 mg/dl and women with serum creatinine ≥1.4 mg/dl. However, in the ICKD cohort, only 27% diabetic subjects in stages 1 to 3 were taking metformin. The use of other newer oral hypoglycemic agents, like dipeptidyl-peptidase 4 inhibitors, was low. The nonuse of sodium glucose cotransporter 2 inhibitors was likely because recruitment in the study had occurred before the overwhelming evidence favoring their use in patients with CKD had accrued. The Study of Heart and Renal Protection trial established the role of lipid-lowering therapy in the management of non–dialysis-dependent CKD. KDIGO lipid guidelines recommend that all adults ≥50 years of age with CKD be treated with a statin or a combination of statin plus ezetimibe. In the ICKD cohort, 40% overall and 47.4% of ≥50-year-olds received statins. Underuse of statins in CKD has been noted elsewhere—only 52% of those >50 years of age were receiving statins in the GCKD study. Among other cardioprotective therapies, about 20% of patients were receiving aspirin, including 51% patients with established CVD. Although the role of routine aspirin use for primary prevention of cardiovascular complications in CKD is debated,, it is indicated for secondary prevention in those with high CVD risk or established CVD., The neglect of cardioprotective therapies in patients with CKD has been noted. We noticed a low use of iron and ESA therapy even in patients with anemia. The KDIGO anemia management guideline recommends iron therapy before the initiation of ESA therapy. The majority among those taking ESAs were receiving conventional ESAs despite being on outpatient treatment, perhaps because of the higher cost of the longer-acting ESAs. This low use might reflect ignorance about the evidence-based approaches for anemia treatment among the treating physicians. Interestingly, we found that about 15% of patients with CKD were treated with uric acid–lowering agents, mainly febuxostat. None of them had a diagnosis of gout. No guideline recommends the routine use of uric acid–lowering drugs, reinforced through 2 recent randomized controlled trials, that did not show this strategy to be effective in slowing the progression of CKD. Sodium bicarbonate was prescribed in >42% of patients. According to current recommendations, bicarbonate use is recommended only for the correction of acidosis in those with serum bicarbonate values <22 mmol/l, which is unlikely in a vast number of subjects in this cohort—with >50% having an eGFR >30 ml/min/1.73m2. Another interesting finding was the use of herbal medicines in 22.7% of the patients in the cohort. Patients in India often consult practitioners of alternative systems of medicine alongside allopathic doctors. The deep belief in the population about the utility of these therapies is driven by information circulated through word of mouth and on social media.49, 50, 51 A significant proportion of patients turn to these therapies out of desperation upon learning about the irreversible nature of CKD. Given that we captured prescription details at the time of recruitment, the data presented here represent practice patterns in the wider community practice in India rather than those in recruiting nephrology centers. This might explain the gap between the medication use and best evidence-informed practice. Given the large burden of CKD and relative shortage of nephrologists, it is inevitable that most of the patients with mild to moderate CKD will continue to be managed by non-nephrologists, who should also receive education on the use of evidence-based therapies. Because we only included patients that had been referred to the recruiting centers, these data might not be generalizable to the broader population of Indian patients with CKD managed in the community. We did not capture data regarding compliance with prescription and reasons for noncompliance. The longitudinal component of the study will allow exploration of the impact of these differences on outcomes. In conclusion, this study provides insights into the prescription patterns for the treatment of CKD in India. We highlight missed opportunities for improving outcomes through appropriate prescriptions of RAAS blockers, lipid-lowering therapy, cholecalciferol, and metformin. We also identify possible instances of inappropriate medication use. There is a need for wider dissemination of evidence-based guidelines and institution of sustainable implementation practices for improving the overall health of subjects with CKD.

Disclosure

VJ has received research grants from Baxter and GSK and consultancy and advisory board honoraria from Baxter Healthcare and AstraZeneca, outside the published work. All the other authors declared no competing interests.
  45 in total

1.  Medication prescribing patterns among chronic kidney disease patients in a hospital in Malaysia.

Authors:  Rowa Al-Ramahi
Journal:  Saudi J Kidney Dis Transpl       Date:  2012-03

2.  Effects of Allopurinol on the Progression of Chronic Kidney Disease.

Authors:  Sunil V Badve; Elaine M Pascoe; Anushree Tiku; Neil Boudville; Fiona G Brown; Alan Cass; Philip Clarke; Nicola Dalbeth; Richard O Day; Janak R de Zoysa; Bettina Douglas; Randall Faull; David C Harris; Carmel M Hawley; Graham R D Jones; John Kanellis; Suetonia C Palmer; Vlado Perkovic; Gopala K Rangan; Donna Reidlinger; Laura Robison; Robert J Walker; Giles Walters; David W Johnson
Journal:  N Engl J Med       Date:  2020-06-25       Impact factor: 91.245

3.  Prescription patterns in patients with systolic heart failure at hospital discharge: why beta blockers are underprescribed or prescribed at low dose in real life?

Authors:  M B Yilmaz; M Refiker; Y Guray; U Guray; H Altay; B Demirkan; V Caldir; S Korkmaz
Journal:  Int J Clin Pract       Date:  2007-02       Impact factor: 2.503

Review 4.  KDIGO Clinical Practice Guideline for Lipid Management in CKD: summary of recommendation statements and clinical approach to the patient.

Authors:  Christoph Wanner; Marcello Tonelli
Journal:  Kidney Int       Date:  2014-02-19       Impact factor: 10.612

5.  Renin-Angiotensin System Inhibitors and Kidney and Cardiovascular Outcomes in Patients With CKD: A Bayesian Network Meta-analysis of Randomized Clinical Trials.

Authors:  Xinfang Xie; Youxia Liu; Vlado Perkovic; Xiangling Li; Toshiharu Ninomiya; Wanyin Hou; Na Zhao; Lijun Liu; Jicheng Lv; Hong Zhang; Haiyan Wang
Journal:  Am J Kidney Dis       Date:  2015-11-18       Impact factor: 8.860

6.  Chronic Renal Insufficiency Cohort (CRIC) Study: baseline characteristics and associations with kidney function.

Authors:  James P Lash; Alan S Go; Lawrence J Appel; Jiang He; Akinlolu Ojo; Mahboob Rahman; Raymond R Townsend; Dawei Xie; Denise Cifelli; Janet Cohan; Jeffrey C Fink; Michael J Fischer; Crystal Gadegbeku; L Lee Hamm; John W Kusek; J Richard Landis; Andrew Narva; Nancy Robinson; Valerie Teal; Harold I Feldman
Journal:  Clin J Am Soc Nephrol       Date:  2009-06-18       Impact factor: 8.237

7.  Is there a cardiovascular protective effect of aspirin in chronic kidney disease patients? A systematic review and meta-analysis.

Authors:  Bo Qu; Yuhua He; Lihua Wu; Hongmei Lu; Haili Wu; Mingquan Li
Journal:  Int Urol Nephrol       Date:  2019-12-09       Impact factor: 2.370

8.  Prescription pattern, short-term outcomes, and its determinants in patients with chronic kidney disease attending a tertiary care hospital.

Authors:  Rashmi Karabasappa Mamadi; Renuka Sathish; Dhiraj Ravindran Selvaraj; Rajni Rathore; Josephine Valsa Jose; Denis Xavier
Journal:  Indian J Pharmacol       Date:  2019 Jan-Feb       Impact factor: 1.200

9.  Drug Prescription Patterns and Cost Analysis of Diabetes Therapy in India: Audit of an Endocrine Practice.

Authors:  Rajiv Singla; Jatin Bindra; Ankush Singla; Yashdeep Gupta; Sanjay Kalra
Journal:  Indian J Endocrinol Metab       Date:  2019 Jan-Feb

10.  Use of Antihypertensive Agents and Association With Risk of Adverse Outcomes in Chronic Kidney Disease: Focus on Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers.

Authors:  Elaine Ku; Charles E McCulloch; Eric Vittinghoff; Feng Lin; Kirsten L Johansen
Journal:  J Am Heart Assoc       Date:  2018-10-02       Impact factor: 5.501

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