The prescription pattern of initial treatment for type 2 diabetes in Beijing from 2011 to 2015

Pharmacological and Benefit-Risk Profile of Once-Weekly Basal Insulin Administration (Icodec): Addressing Patients' Unmet Needs and Exploring Future Applications

Diabetes mellitus (DM) is a chronic metabolic disease affecting over 500 million people worldwide, which leads to severe complications and to millions of deaths yearly. When therapeutic goals are not reached with diet, physical activity, or non-insulin drugs, starting/adding insulin treatment is recommended by international guidelines. A novel recombinant insulin is icodec, a once-weekly insulin that successfully completed phase III trials and that has recently obtained the marketing authorization approval from the European Medicines Agency. This narrative review aims to assess icodec pharmacological and clinical features concerning evidence on benefit-risk profile, as compared to other basal insulins, addressing the potential impact on patients' unmet needs. Icodec is a full agonist, recombinant human insulin analogue characterized by an ultra-long half-life (196 h), enabling its use in once-weekly administration. Phase III randomized clinical trials involving more than 4000 diabetic patients, mostly type 2 DM, documented non-inferiority of icodec, as compared to currently available basal insulins, in terms of estimated mean reduction of glycated hemoglobin levels; a superiority of icodec, compared to control, was confirmed in insulin-naïve patients (ONWARDS 1, 3, and 5), and in patients previously treated with basal insulin (ONWARDS 2). Icodec safety profile was comparable to the currently available basal insulins. Once-weekly icodec has the potential to improve patients' adherence, thus positively influencing patients' treatment satisfaction as well as quality of life, especially in type 2 DM insulin-naïve patients. An improved adherence might positively influence glycemic target achievement, reduce overall healthcare costs and overcome some of the unmet patients' needs. Icodec has the potential to emerge as a landmark achievement in the evolution of insulin therapy, with a positive impact also for the National Health Services and the whole society.

Combination Therapy in Diabetes Mellitus Patients Attending Outpatient Department in a Tertiary Care Centre: A Descriptive Cross-sectional Study

Introduction

Assessing anti-diabetic drug use patterns in hospitals is an important activity which helps to promote the rational use of drugs and may suggest measures to change prescribing habits for the better. This study aimed to find the use of combination therapy in diabetes mellitus patients attending the outpatient department of a tertiary care centre.

Methods

A descriptive cross-sectional study was conducted among 201 diabetes mellitus patients in the internal medicine department from 2 March 2022 to 30 June 2022 for a duration of four months after approval from the Institutional Review Committee (Protocol No: IRC-LMC-01/R-022). Diabetic patients prescribed at least one anti-diabetic drug in prescription forms were included. Socio-demographic profiles, clinical characteristics and anti-diabetic drug use pattern-related data were collected. Convenience sampling was used. Point estimate and 95% Confidence Interval were calculated.

Results

Among 201 patients, 134 (66.66%) (60.14-73.18, 95% Confidence Interval) patients were given combination therapy. The most common combination therapy was metformin 500 mg and sitagliptin 50 mg. A total of 324 anti-diabetic drugs were used. The average number of drugs prescribed per patient was 1.6±0.7. The number of anti-diabetic drugs prescribed by generic name and from the national essential drugs list was 74 (22.83%) and 188 (58.02%) respectively. Biguanides were used in 176 (87.56%) patients.

Conclusions

These findings were similar to some other studies conducted in similar settings. In most patients, combination drug therapy was more prevalent. Among combination therapy, two drug combinations were more prevalent.

Keywords

diabetes mellitus; drug combinations; outpatients; teaching hospital.

The effects of mindfulness-based stress reduction therapy combined with intensive education on the effectiveness of the care and the awareness rate in patients with arthritis and diabetes

OBJECTIVE

To explore the effect of mindfulness-based stress reduction (MBSR) therapy combined with intensive education on the effectiveness of the care and the awareness rate in patients with diabetes and arthritis.

METHODS

A total of 94 patients with diabetes and arthritis admitted to our hospital were recruited as the study cohort and randomly divided into two groups, with 47 patients in each group. Both groups underwent routine nursing interventions. The control group underwent an eight-week-long intensive education program, while the observation group was additionally cared for with MBSR for 8 weeks. The two groups were assessed using the Symptom Checklist 90 (SCL-90), the Hamilton Anxiety Scale (HAMA-14), the Hamilton Depression Scale (HAMD-17), the Simple Coping Style Questionnaire (SCSQ), the diabetes specificity quality of life scale (DSQL), and their cortisol levels and awareness/satisfaction rates.

RESULTS

The SCL-90 scores were lower in both groups after 8 weeks of nursing (P < 0.05), and the scores in the observation group were lower than the scores in the control group (P < 0.05). The observation group exhibited lower HAMA-14, HAMD-17, and negative coping scores (P < 0.05) and higher positive coping scores than the control group (P < 0.05). The DSQL scores and the cortisol levels in the observation group at 2, 4, 6, and 8 weeks after the nursing were lower than they were in the control group (P < 0.05). The satisfaction rate with the nursing methods, the nursing effectiveness, and the awareness rate with regard to regular review, knowledge of pathogenesis, and clinical manifestations in the observation group were higher than they were in the control group (P < 0.05).

CONCLUSION

MBSR therapy combined with intensive education can improve patients' symptoms, reduce their anxiety/depression, improve their coping levels, quality of life, and cortisol levels as well as their satisfaction/awareness rates in diabetic patients with arthritis.

Multimorbidity among Two Million Adults in China

To explore the multimorbidity prevalence and patterns among middle-aged and older adults from China. Data on thirteen chronic diseases were collected from 2,097,150 participants aged over 45 years between January 1st 2011 and December 31st 2015 from Beijing Medical Claim Data for Employees. Association rule mining and hierarchical cluster analysis were applied to assess multimorbidity patterns. Multimorbidity prevalence was 51.6% and 81.3% in the middle-aged and older groups, respectively. The most prevalent disease pair was that of osteoarthritis and rheumatoid arthritis (OARA) with hypertension (HT) (middle-aged: 22.5%; older: 41.8%). Ischaemic heart disease (IHD), HT, and OARA constituted the most common triad combination (middle-aged: 11.0%; older: 31.2%). Among the middle-aged group, the strongest associations were found in a combination of cerebrovascular disease (CBD), OARA, and HT with IHD in males (lift = 3.49), and CBD, OARA, and COPD with IHD in females (lift = 3.24). Among older patients, glaucoma and cataracts in females (lift = 2.95), and IHD, OARA, and glaucoma combined with cataracts in males (lift = 2.45) were observed. Visual impairment clusters, a mixed cluster of OARA, IHD, COPD, and cardiometabolic clusters were detected. Multimorbidity is prevalent among middle-aged and older Chinese individuals. The observations of multimorbidity patterns have implications for improving preventive care and developing appropriate guidelines for morbidity treatment.

The present and future scope of real-world evidence research in diabetes: What questions can and cannot be answered and what might be possible in the future?

The last decade has witnessed an exponential growth in the opportunities to collect and link health-related data from multiple resources, including primary care, administrative, and device data. The availability of these "real-world," "big data" has fuelled also an intense methodological research into methods to handle them and extract actionable information. In medicine, the evidence generated from "real-world data" (RWD), which are not purposely collected to answer biomedical questions, is commonly termed "real-world evidence" (RWE). In this review, we focus on RWD and RWE in the area of diabetes research, highlighting their contributions in the last decade; and give some suggestions for future RWE diabetes research, by applying well-established and less-known tools to direct RWE diabetes research towards better personalized approaches to diabetes care. We underline the essential aspects to consider when using RWD and the key features limiting the translational potential of RWD in generating high-quality and applicable RWE. Only if viewed in the context of other study designs and statistical methods, with its pros and cons carefully considered, RWE will exploit its full potential as a complementary or even, in some cases, substitutive source of evidence compared to the expensive evidence obtained from randomized controlled trials.

Dose distribution and up-titration patterns of metformin monotherapy in patients with type 2 diabetes

AIMS

To assess the dose distribution among users of metformin monotherapy as well as the patterns of up-titration following initiation of therapy in people with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This was a retrospective cohort study of adults with T2DM in the United Kingdom (UK). Metformin dose distribution was assessed at 0, 6 and 12 months in people initiating metformin monotherapy (new users) and cross-sectionally in people with ongoing metformin monotherapy (prevalent users). Patterns and predictors of up-titration were also analysed in new users. Dose distributions and treatment patterns were assessed descriptively; predictors of up-titration were determined using multivariable logistic regressions.

RESULTS

Totals of 6174 new users and 8733 prevalent users were included. New users initiated metformin at >0 mg to ≤500 mg (25%), >500 mg to ≤1000 mg (47%), >1000 mg to ≤1500 mg (17%) or >1500 mg to ≤2000 mg (12%) daily. This distribution did not vary over time. Prevalent users of metformin received doses of >0 mg to ≤500 mg (14%), >500 mg to ≤1000 mg (40%), >1000 mg to ≤1500 mg (15%), >1500 mg to ≤2000 mg (29%) or >2000 mg (1%) daily. Among new users of metformin, 6.7% and 10.8% had been up-titrated at 6 and 12 months, respectively, despite the majority having glycated haemoglobin >53 mmol/mol. Predictors of up-titration included younger age and higher HbA1c.

CONCLUSIONS

A majority of T2DM patients taking metformin received a dose ≤1000 mg/day. Up-titration of metformin is infrequent in the first year postinitiation.

A survey on glycemic control rate of type 2 diabetes mellitus with different therapies and patients' satisfaction in China

AIM

To compare the blood glucose control of patients with type 2 diabetes mellitus (T2DM) with different treatment methods, oral hypoglycemic agents (OHA) monotherapy, insulin injection and combined therapy (OHA + insulin injection) and evaluate their satisfaction with the medical care.

METHODS

A total of 1512 T2DM patients were assessed, to compare the effects of different treatment methods on glycemic control in T2DM patients, the influencing factors of patients' satisfaction with medical care measures and their relationship with glycemic control. Fasting plasma glucose (FPG), 2 hrs postprandial plasma glucose (2hPG) and HbA1c were measured as the standard of the glycemic control. Satisfaction was defined using the simplified version of DAWN of chronic disease care patient scale (PACIC - DSF).

RESULTS

In this study, the FPG compliance rate, 2hPG compliance rate and HbA1c compliance rate were 25.5%, 22.7% and 19.5%, respectively. The differences in the glycemic control compliance rates of different treatment methods were not statistically significant. The total score of PACIC - DSF was 34.54±11.65(p>0.05), and the influencing factors included fast blood glucose (FBG) and 2hPG, 2hPG and PACIC - DSF were negatively correlated.

CONCLUSIONS

The T2DM glycemic control rate in China is currently low. From the score of the PACIC - DSF, there is no significant difference in general satisfaction with medical care measures in different treatments. What is more, education level, occupation and exercise of patients with type 2 diabetes had influence on PACIC - DSF score. Different treatment methods have no influence on the glycemic control of patients with T2DM. FPG value and the 2hPG value are negative correlation with the satisfaction of patients in medical care measures.