Use of non-steroidal anti-inflammatory drugs and risk of chronic kidney disease in people with Type 2 diabetes mellitus, a nationwide longitudinal cohort study

[Glucose metabolism disorders and hypoglycemic therapy in patients hospitalized for elective lower limb arthroplasty: a prospective, single-center, real-world study]

AIM

To assess the incidence of glucose metabolism disorders, administered hypoglycemic therapy and its effectiveness in a cohort of patients with previously diagnosed diabetes mellitus (DM) hospitalized for scheduled lower limb joint arthroplasty.

MATERIALS AND METHODS

The study included 502 patients. Medical history, information about previously diagnosed DM and prescribed hypoglycemic therapy were collected in all patients according to medical documentation, as well as according to the patients' survey. Within the preoperative examination, the glucose level was measured, and in patients with previously diagnosed diabetes, measuremaent of the HbA1c level was recommended.

RESULTS

The study population included 180 (35.9%) males and 322 females (64.1%). Among them, 99 (19.7%) patients had disorders of glucose metabolism [type 1 diabetes - 1 (0.2%) patient, type 2 diabetes - 90 (17.9%) patients, impaired glucose tolerance (IGT) - 8 (1.6%) patients]. In 8 patients, type 2 diabetes was newly diagnosed during the preoperative examination. HbA1c was measured before hospitalization in 26 patients with diabetes, the mean level was 7.0±1.4%. Regarding the analysis of hypoglycemic therapy, almost half of the patients with DM - 47 (47.5%) - received metformin monotherapy, 8 patients with IGT and 8 patients with newly diagnosed DM did not receive any drug therapy. Target glycemic levels during therapy were achieved in 36 (36.4%) patients, and target HbA1c levels were achieved in 21 patients.

CONCLUSION

The cohort of patients hospitalized for elective lower limb joint arthroplasty is characterized by a relatively high incidence of glucose metabolism disorders, and in some patients, DM was newly diagnosed during the preoperative examination. Metformin is most often used as hypoglycemic therapy, and the target values of glycemia during treatment were achieved in less than half of the patients. The monitoring of the level of glycated hemoglobin is low and requires additional population analysis in order to determine the causes and optimize the strategy of patient management.

Molecular Background and Clinical Implications of Glucose Disorders in Patients with Psoriatic Arthritis

Psoriatic arthritis (PsA) is an inflammatory musculoskeletal disease characterized by joint and entheses involvement. This condition is often associated with an increased prevalence of obesity, encompassing more than one-third of all patients. Given the presence of metabolic disorders, it becomes crucial to enhance clinical oversight of metabolic parameters. An early diagnosis of glucose irregularities in PsA allows for the assessment of an effective treatment strategy. The approach proves valuable in preventing the development of insulin resistance (IR) or diabetes mellitus type 2 (DMt2). Similar pathways characterize the pathomechanism of PsA and DMt2, offering an innovative perspective on treatment management. The cytokines and adipokines synthesized in the course of PsA significantly impact the development process of IR and DMt2 in different mechanisms of action. Conversely, glucose disorders influence the activity of PsA and therapy outcomes. Given the chronic inflammatory background shared by PsA, obesity, and DMt2, it is evident that inadequate management of any of the mentioned conditions can exacerbate the others. Thus, when PsA coincides with DMt2, a comprehensive multidimensional approach is necessary. This includes an effective immunosuppressive regimen complemented by appropriate anti-diabetic and insulin therapies. Moreover, often overlooked recommendations concerning overall well-being and lifestyle adjustments hold significance. This manuscript explores the connections and the relationship between the molecular background of PsA and glucose disorders. It provides a detailed exposition of specific therapeutic approaches for both conditions.

Regular use of ibuprofen or paracetamol and incident type 2 diabetes: A prospective cohort study in the UK Biobank

BACKGROUND

The relation of regular ibuprofen or paracetamol use with the risk of type 2 diabetes (T2DM) remained undetermined. We aimed to evaluate the prospective association between regular ibuprofen or paracetamol use and incidence of T2DM.

METHODS

This cohort included 372,843 participants with available data of ibuprofen, paracetamol use and without diabetes at baseline from the UK Biobank. The primary outcome was incident T2DM. Cox proportional hazards models were applied to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of T2DM.

RESULTS

During a median of 12.1 years' follow-up, 11,527 (3.1%) participants developed T2DM. Overall, participants with regular use of paracetamol showed a significantly higher risk of incident T2DM (adjusted HR, 1.25; 95%CI: 1.19,1.31), compared with non-users. Moreover, a stronger positive association of paracetamol use with incident T2DM was found among those aged <60 years (vs. ≥60 years, P-interaction =0.008), free of cardiovascular diseases (CVD) (vs. CVD patients, P-interaction =0.01), and without the use of anti-hypertensive drugs (vs. users, P-interaction =0.016) at baseline. However, there was no significant association between regular use of ibuprofen (users vs. non-users; adjusted HR, 1.05; 95%CI: 0.99,1.12) and incident T2DM. More importantly, genetic risks of T2DM did not significantly modify the relations of ibuprofen, or paracetamol use with incident T2DM (Both P-interactions >0.05).

CONCLUSIONS

Regular use of paracetamol, but not ibuprofen, was associated with a significantly higher risk of incident T2DM among middle aged UK adults. Our current findings highlight the need for greater consideration in the clinical selection of paracetamol or ibuprofen.

Acute kidney injury associated with non-steroidal anti-inflammatory drugs

Non-steroidal anti-inflammatory drugs (NSAIDs) are ones of the commonly prescribed drugs worldwide. They primarily inhibit cyclooxygenase (COX) enzyme which is responsible for conversion of phospholipids to various prostaglandins (PGs). Disruption in PGs production affects the kidneys in several ways, including vasoconstriction that may result in ischemic acute kidney injury (AKI) in at-risk patients. They also impair salt and water excretion, leading to edema and hypertension. Other complications include hyperkalemia, hyponatremia, nephrotic syndrome, acute interstitial nephritis and chronic kidney disease progression. AKI from NSAIDs is usually reversible with favorable prognosis after discontinuation of NSAIDs. Avoidance of NSAIDs exposure is extremely important, especially among high-risk patients.

Epidemiological characteristics of diabetic kidney disease in Taiwan

Diabetic kidney disease (DKD) is a critical microvascular complication of diabetes. With the continuous increase in the prevalence of diabetes since 2000, the prevalence of DKD has also been increasing in past years. The prevalence of DKD among individuals with type 2 diabetes in Taiwan increased from 13.32% in 2000 to 17.92% in 2014. The cumulative incidence of DKD among individuals with type 1 diabetes in Taiwan was higher than 30% during 1999-2012. DKD is the leading cause of end-stage renal disease (ESRD), with a prevalence of approximately 45% in a population on chronic dialysis in Taiwan. Among individuals with type 2 diabetes, the prevalence of ESRD in the receipt of dialysis also increased from 1.32% in 2005 to 1.47% in 2014. Risk factors for DKD development are age, race, family history, hyperglycemia, hypertension, dyslipidemia, dietary patterns, and lifestyles. Prognostic factors that aggravate DKD progression include age, family history, sex, glycemic control, blood pressure (BP), microvascular complications, and atherosclerosis. This review summarizes updated information on the onset and progression of DKD, particularly in the Taiwanese population. Translating these epidemiological features is essential to optimizing the kidney care and improving the prognosis of DKD in Asian populations.

Risk factors associated with the development of diabetic kidney disease in Sudanese patients with type 2 diabetes mellitus: A case-control study

BACKGROUND AND AIMS

Limited data are available regarding the risk factors associated with the development of diabetic kidney disease (DKD) among Sudanese adults with type 2 diabetes mellitus (T2DM).

METHODS

A case-control study was conducted at Dr. Salma Center for Kidney Diseases between April and September 2019. Patients with T2DM and DKD were compared to age and sex-matched T2DM patients with no kidney disease (NKD). Socio-demographic features, clinical findings, and laboratory investigations of the study subjects and controls were analyzed using SPSS.

RESULTS

A total of 372 patients with DKD were compared to 364 T2DM patients with NKD. The mean age of the DKD patients was 58 ± 13.4 years, their median eGFR was 37.3 ± 4.9 ml/min/1.73 m²; they had their T2DM at a significantly younger age compared to controls (P = 0.014). Logistic regression analysis revealed that a family history of diabetes mellitus, a family history of chronic kidney disease, the presence of hypertension, obesity, hypercholesterolemia, hyperuricemia, smoking, recurrent urinary tract infection, and the regular use of non-steroidal anti-inflammatory drugs were significantly associated with the development of DKD (P values < 0.05).

CONCLUSION

A series of modifiable risk factors were found to be significant determinants for developing DKD. Primary care physicians are expected to pay considerable attention to their control.

Non-steroidal anti-inflammatory drugs and risk of acute adverse renal outcomes in diabetes and diabetic kidney disease

BACKGROUND

Individuals with diabetes mellitus (DM) may be susceptible to non-steroidal anti-inflammatory drug (NSAID) - induced acute kidney injury (AKI) but data on NSAID-related adverse renal events is sparse. We aimed to evaluate the risk of acute kidney injury and/or hyperkalemia after systemic NSAID among individuals with DM and diabetic chronic kidney disease (CKD).

METHODS

Retrospective cohort study of 3896 adults with DM with incident prescriptions between July 2015 and December 2017 from Singapore General Hospital and SingHealth Polyclinics. Laboratory, hospitalization and medication data were retrieved from electronic medical records. The primary outcome was the incidence of AKI and/ or hyperkalemia within 30 days after prescription.

RESULTS

AKI and/or hyperkalemia occurred in 13.5% of all DM and 15.8% of diabetic CKD. The association between systemic NSAID >14 days and 30-day risk of AKI and/or hyperkalemia failed to reach statistical significance in unselected DM (adjusted OR 1.62, 95% CI 0.99-2.65, p = 0.05) and diabetic CKD (adjusted OR 0.64, 95% CI 0.15-2.82, p = 0.64), but the odds of AKI and/or hyperkalemia were markedly and significantly increased when NSAID was prescribed with renin-angiotensin-aldosterone system (RAAS) blocker (adjusted OR 4.17, 95% CI 1.74-9.98, p = 0.001) or diuretic (adjusted OR 3.31, 95% CI 1.09-10.08, p = 0.04) and in the absence of diabetic CKD (adjusted OR 1.98, 95% CI 1.16-3.36, p = 0.01).

CONCLUSION

NSAID prescription >14 days in individuals with DM with concurrent RAAS blockers or diuretics was associated with higher 30-day risk of AKI and/or hyperkalemia.

Comparative Risks of Nonsteroidal Anti-Inflammatory Drugs on CKD

BACKGROUND AND OBJECTIVES

There have been doubts about the association between nonsteroidal anti-inflammatory drug use and worsening kidney function, and whether there is a difference between risks of individual nonsteroidal anti-inflammatory drugs is presently unclear. Therefore, this study aimed to evaluate the association between nonsteroidal anti-inflammatory drug exposure and the risk of incident eGFR <60 ml/min per 1.73 m² and compare the risks between nonsteroidal anti-inflammatory drug subtypes in the Chinese population.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

From 2008 to 2017, a total of 1,982,488 subjects aged 18 years or older with baseline eGFR ≥60 ml/min per 1.73 m² were enrolled in this retrospective cohort study. Multivariable Cox proportional hazards regression adjusted for each patient's baseline characteristics was adopted to examine the association between nonsteroidal anti-inflammatory drug and incident eGFR <60 ml/min per 1.73 m² or eGFR decline ≥30% with reference to baseline.

RESULTS

After a median follow-up duration of 6.3 (interquartile range, 3.3-9.4) years, 271,848 cases (14%) of incident eGFR <60 ml/min per 1.73 m² and 388,386 (21%) events of eGFR decline ≥30% were recorded. After adjusting for each patient's baseline characteristics, nonsteroidal anti-inflammatory drug treatment was shown to be associated with a significantly higher risk of incident eGFR <60 ml/min per 1.73 m² (hazard ratio, 1.71; 95% confidence interval, 1.67 to 1.75) and eGFR decline ≥30% (hazard ratio, 1.93; 95% confidence interval, 1.89 to 1.96) when compared with no nonsteroidal anti-inflammatory drug, with etoricoxib exhibiting the highest risk of eGFR<60 ml/min per 1.73 m² (hazard ratio, 3.12; 95% confidence interval, 2.69 to 3.62) and eGFR decline ≥30% (hazard ratio, 3.11; 95% confidence interval, 2.78 to 3.48) and ibuprofen displaying the lowest risk of eGFR<60 ml/min per 1.73 m² (hazard ratio, 1.12; 95% confidence interval, 1.02 to 1.23) and eGFR decline ≥30% (hazard ratio, 1.32; 95% confidence interval, 1.23 to 1.41).

CONCLUSIONS

Nonsteroidal anti-inflammatory drug exposure was associated with higher risks of incident eGFR <60 ml/min per 1.73 m² and eGFR decline ≥30%. Highest risk was observed in etoricoxib users, and lowest risk was with ibuprofen.

PODCAST

This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2021_04_28_CJN18501120.mp3.

Development and Validation of a Chronic Kidney Disease Prediction Model for Type 2 Diabetes Mellitus in Thailand

OBJECTIVES

The objective of this study was to investigate predictors and develop risk equations for stage-3 chronic kidney disease (CKD) in Thai patients with type 2 diabetes mellitus (DM).

METHODS

A retrospective cohort study was conducted in patients with type 2 DM. The outcome was the development of stage-3 CKD. The data set was randomly split into training and validation data sets. Cox proportional hazard regression was used for model development. Discrimination (Harrell's C statistic) and calibration (the Hosmer-Lemeshow chi-square test and survival probability curve) were applied to evaluate model performance.

RESULTS

In total, 2178 type 2 DM patients without stage-3 CKD, visiting the hospital from January 1, 2008, to December 31, 2017, were recruited, with median follow-up time of 1.29 years (interquartile range, 0.5-2.5 years); 385 (17.68%) subjects had developed stage-3 CKD. The final predictors included age, male sex, urinary albumin to creatinine ratio, estimated glomerular filtration rate, and hemoglobin A1c. Two 3-year stage-3 CKD risk models, model 1 (laboratory model) and model 2 (simplified model), had the C statistic in validation data sets of 0.890 and 0.812, respectively.

CONCLUSIONS

Two 3-year stage-3 CKD risk models were developed for Thai patients with type 2 DM. Both models have good discrimination and calibration. These stage-3 CKD prediction models could equip health providers with tools for clinical management and supporting patient education.

Practice Advisory on the Appropriate Use of NSAIDs in Primary Care

Cyclo-oxygenase (COX)-2 selective and nonselective nonsteroidal anti-inflammatory drugs (NSAIDs) are important in managing acute and chronic pain secondary to inflammation. As a greater understanding of the risks of gastrointestinal (GI), cardiovascular (CV) and renal events with NSAIDs use has emerged, guidelines have evolved to reflect differences in risks among NSAIDs. Updated guidelines have yet to reflect new evidence from recent trials which showed similar CV event rates with celecoxib compared to naproxen and ibuprofen, and significantly better GI tolerability for celecoxib. This practice advisory paper aims to present consensus statements and associated guidance regarding appropriate NSAID use based on a review of current evidence by a multidisciplinary group of expert clinicians. This paper is especially intended to guide primary care practitioners within Asia in the appropriate use of NSAIDs in primary care. Following a literature review, group members used a modified Delphi consensus process to determine agreement with selected recommendations. Agreement with a statement by 75% of total voting members was defined a priori as consensus. For low GI risk patients, any nonselective NSAID plus proton pump inhibitor (PPI) or celecoxib alone is acceptable treatment when CV risk is low; for high CV risk patients, low-dose celecoxib or naproxen plus PPI is appropriate. For high GI risk patients, celecoxib plus PPI is acceptable for low CV risk patients; low-dose celecoxib plus PPI is appropriate for high CV risk patients, with the alternative to avoid NSAIDs and consider opioids instead. Appropriate NSAID prescription assumes that the patient has normal renal function at commencement, with ongoing monitoring recommended. In conclusion, appropriate NSAID use requires consideration of all risks.

Repurposing of FDA-Approved NSAIDs for DPP-4 Inhibition as an Alternative for Diabetes Mellitus Treatment: Computational and in Vitro Study

A drug repurposing strategy could be a potential approach to overcoming the economic costs for diabetes mellitus (DM) treatment incurred by most countries. DM has emerged as a global epidemic, and an increase in the outbreak has led developing countries like Mexico, India, and China to recommend a prevention method as an alternative proposed by their respective healthcare sectors. Incretin-based therapy has been successful in treating diabetes mellitus, and inhibitors like sitagliptin, vildagliptin, saxagliptin, and alogliptin belong to this category. As of now, drug repurposing strategies have not been used to identify existing therapeutics that can become dipeptidyl peptidase-4 (DPP-4) inhibitors. Hence, this work presents the use of bioinformatics tools like the Activity Atlas model, flexible molecular docking simulations, and three-dimensional reference interaction site model (3D-RISM) calculations to assist in repurposing Food and Drug Administration (FDA)-approved drugs into specific nonsteroidal anti-inflammatory medications such as DPP-4 inhibitors. Initially, the Activity Atlas model was constructed based on the top scoring DPP-4 inhibitors, and then the model was used to understand features of nonsteroidal anti-inflammatory drugs (NSAIDs) as a function of electrostatic, hydrophobic, and active shape features of DPP-4 inhibition. The FlexX algorithm was used to infer protein-ligand interacting residues, and binding energy, to predict potential draggability towards the DPP-4 mechanism of action. 3D-RISM calculations on piroxicam-bound DPP-4 were used to understand the stability of water molecules at the active site. Finally, piroxicam was chosen as the repurposing drug to become a new DPP-4 inhibitor and validated experimentally using fluorescence spectroscopy assay. These findings are novel and provide new insights into the role of piroxicam as a new lead to inhibit DPP-4 and, taking into consideration the biological half-life of piroxicam, it can be proposed as a possible therapeutic strategy for treating diabetes mellitus.

[Profile of prescription and adequacy of treatment with non-steroidal anti-inflammatory drugs in diabetic patients]

OBJECTIVE

The aim of this study was to quantify and describe the prescription profile, as well as to assess the adequacy of treatment with non-steroidal anti-inflammatory drugs (NSAIDs) in the diabetic population of a health district.

MATERIAL AND METHODS

This is a descriptive, cross-sectional study aimed at a target population of 2,795 diabetic patients. Data were collected from the computerised clinical records of a sample of 380 individuals. The adequacy of treatment was assessed using the recommendations proposed by the Spanish societies of Rheumatology, Cardiology and Gastroenterology.

RESULTS

More than one-quarter (28%) of the diabetic patients received treatment with NSAIDs. The most commonly used ones were ibuprofen, naproxen, and dexketoprofen, with a defined daily dose per 1,000 inhabitants per day of 35.3, 17.2, and 13.2, respectively. In patients with a history of chronic kidney disease and cardiovascular high risk, fewer NSAIDs were prescribed, while they were used most frequently in patients with a risk for gastrointestinal adverse events. The prescription was considered adequate in 46.5% of diabetic patients. The main causes of inappropriate use were the inadequate prescription of NSAIDs (25.2%), and the use of any NSAID other than naproxen (20.6%).

CONCLUSIONS

The most prescribed NSAIDs were those showing a low cardiovascular risk profile. Treatment with NSAIDs was inadequate in more than half of the patients. Risk factors for cardiovascular, and especially gastrointestinal, events must be considered in order to avoid its use when not indicated, as well as the use of any NSAIDs other than naproxen.