| Literature DB >> 35736024 |
Malik Dilaver Farooq1, Farooq Ahmad Tak1, Fauzia Ara2, Samia Rashid1, Irfan Ahmad Mir1.
Abstract
Introduction: Type 2 diabetes (T2DM), which is more prevalent (more than 90% of all diabetes cases) and the main driver of the diabetes epidemic, now affects 5.9% of the world's adult population, with almost 80% of the total in developing countries. At present, 537 million adults (20-79 years) are living with diabetes-1 in 10. This number is predicted to rise to 643 million by 2030 and 783 million by 2045. In India, reports show that 69.2 million people are living with diabetes (8.7%) as per 2015 data. Long-term metformin treatment is a known pharmacological cause of vitamin B12 (Vit B12) deficiency, as was evident within the first 10-12 years after it started to be used.Entities:
Keywords: T2DM; clinical neuropathy; metformin; vitamin B12 deficiency
Year: 2022 PMID: 35736024 PMCID: PMC9225352 DOI: 10.3390/jox12020011
Source DB: PubMed Journal: J Xenobiot ISSN: 2039-4705
Two groups with mean treatment duration.
| Number | Duration of Treatment (Months) | |
|---|---|---|
| Metformin Group | 451 | 56 ± 5.9 |
| Non-metformin group | 249 | 76 ± 6.5 |
Relationship between cumulative dose of metformin (grams {g}) and Vit B12 (pmol/l) deficiency.
| B12 Deficiency | No. of | Mean | SD | Min. | Max. | |
|---|---|---|---|---|---|---|
| Patients | ||||||
| Vitamin BI2 | 205 | 4663 | 1506.8 | 720 | 8640 | |
| Deficient | ||||||
| Borderline | 42 | 3637.9 | 776.7 | 720 | 4320 | <0.001 |
| Vitamin BI2 | ||||||
| Deficient | ||||||
| Vitamin BI2 | 204 | 2230.3 | 1051.8 | 180 | 5040 | |
| Sufficient | ||||||
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Figure 1(Scatter diagram): Relationship between cumulative dose of metformin and B12 deficiency. (Pearson Correlation coefficient is −0.6 and p valve < 0.001).
Post-hoc (Tukey’s Honest Significant Difference) for intergroup comparison of patients on metformin.
| B12 Deficiency | Sig. | |
|---|---|---|
| Yes | Borderline | 0.002 |
| No | 0.000 | |
| Borderline | Yes | 0.002 |
| No | 0.000 | |
| No | Yes | 0.000 |
| Borderline | 0.000 | |
Relationship between neuropathy score (Toronto clinical scoring system (TCSS)) and metformin use.
| Group | TCSS Score | |
|---|---|---|
| All patients | 5.9 ± 2.9 | |
| Metformin-exposed | 6.3 ± 3.4 | <0.001 |
| Non-Metformin group | 5.1 ± 3.9 |
Prevalence of clinical neuropathy in different age groups.
| Neuropathy | |||||
|---|---|---|---|---|---|
| Yes | No | ||||
| Age | 31–40 | No. of Patients | 7 | 46 | |
| Percentage | 2.5% | 11% | |||
| 41–50 | No. of Patients | 36 | 220 | 0.5 (NS) | |
| Percentage | 12.7% | 52.9% | |||
| 51–60 | No. of Patients | 121 | 114 | ||
| Percentage | 42.6% | 27.4% | |||
| 61–70 | No. of Patients | 120 | 36 | ||
| Percentage | 42.2% | 8.7% | |||
| Total | No. of Patients | 284 | 416 | ||
| Percentage | 100.0% | 100.0% | |||
Prevalence of clinical neuropathy in different groups.
| No. of Patients | Percentage | ||
|---|---|---|---|
| Neuropathy in the study population | 283/700 | 40.4 | 0.001 |
| Neuropathy in the metformin group | 203/451 | 45.0 | |
| (Sig.) | |||
| Neuropathy in Non-metformin group | 80/249 | 31.8 |
Linear regression analysis, using TCSS score as a dependent factor and metformin use (yes/no) and duration of t2dm as independent factors.
| Coefficients | |||||||
|---|---|---|---|---|---|---|---|
| Unstandardized | Standardized | 95.0% Confidence | |||||
| Coefficients | Coefficients | t | Interval for B | ||||
| B | SE | Beta | Lower | Upper | |||
| Bound | Bound | ||||||
| (Constant) | 3.7 | 0.2 | 15.0 | <0.001 | 3.2 | 4.2 | |
| Metformin | −2.9 | 0.1 | −0.5 | −15.4 | <0.001 | −3.3 | −2.6 |
| Use | |||||||
| Duration of | 0.09 | 0.003 | 0.9 | 31.1 | <0.001 | 0.091 | 0.1 |
| Diabetes | |||||||
| (months) | |||||||
| Dependent Variable: TCSS Score | |||||||
Relationship between HbA1c level and clinical neuropathy.
| Neuropathy | No. of Patients | Mean HbA1c | Std. | |
|---|---|---|---|---|
| (%) | Deviation | |||
| Present | 284 | 8.7 | 1.2 | <0.001 |
| Absent | 416 | 7.9 | 0.9 |