Literature DB >> 28990907

Prevalence of and Factors Associated with Nephropathy in Diabetic Patients Attending an Outpatients Clinic in Harare, Zimbabwe: Methodological Issues.

Pasipanodya Ian Machingura1, Exnevia Gomo2, Vasco Chikwasha3, Parmenas Nelson Okwanga4.   

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Year:  2017        PMID: 28990907      PMCID: PMC5590596          DOI: 10.4269/ajtmh.17-0011b

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


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Dear Sir: Thank you for your interest and comments.[1] In an earlier draft of our manuscript, we used less stringent variable inclusion criteria in the multivariable model (using a P value < 0.25). During the review and editing process, we decided that the large number of covariates relative to sample size resulted in an unstable outcome, with decreased generalizability beyond the study sample.[2] Thus, we included only variables with P < 0.01. We note the limitation of this approach that you highlighted in your letter. The multivariate analysis data in logistic regression (using a cutoff of P < 0.25) following univariate analysis are given in Tables 1 and 2.
Table 1

Logistic regression analysis of factors associated with overall nephropathy in HIV-negative patients

VariableNormal to mildly increased albuminuria < 30 mg albumin/g creatinineNephropathy ≥ 30 mg albumin/g creatinineUnivariate analysisMultivariate analysis
OR (95% CI)P valueOR (95% CI)P value
Sex
 Female1329710.744N/AN/A
 Male45361.09 (0.65–1.81)
Age, years, mean (SD)56.9 (15.1)59.8 (14.8)1.01 (1.00–1.03)0.0891.01 (0.99–1.03)0.236
Body mass index, kg/m2, mean (SD)27.4 (5.5)25.9 (4.9)0.95 (0.91–0.99)0.0180.97 (0.92–1.02)0.285
Duration of disease, years, mean (SD)9.0 (9.6)13.2 (11.5)1.04 (1.01–1.06)0.0011.02 (0.99–1.05)0.129
Consume alcohol
 Yes1030.39 (0.10-1.43)0.1540.20 (0.04-1.09)0.062
 No16713011
Taking alternative medicine
 Yes13111.14 (0.49–2.63)0.763N/AN/A
 No1641221
HbA1c, %, median (IQR)7.8 (6.4–9.7)8.8 (7.4–11.0)1.21 (1.10–1.33)< 0.0011.13 (0.96–1.32)0.149
Fructosamine, mmol/L3.3 (1.0)3.8 (1.3)1.00 (1.00–1.01)< 0.0011.00 (1.00–1.01)0.165
Triglycerides, mmol/L1.2 (0.8–1.6)1.2 (0.8–1.2)1.11 (0.83–1.47)0.487N/AN/A
Total cholesterol, mmol/L4.6 (3.7–5.4)4.5 (3.6–5.5)1.06 (0.91–1.23)0.456N/AN/A
HDL cholesterol, mmol/L1.1 (0.9–1.4)1.1 (0.9–1.4)1.67 (0.92–3.01)0.0911.25 (0.63–2.49)0.518
Hypertension
 Yes1521211.66 (0.80–3.44)0.1741.17 (0.45–3.01)0.752
 No251211
Retinopathy
 Yes31553.47 (2.06–5.87)< 0.0013.04 (1.70–5.45)< 0.001
 No1417211

CI = confidence interval; HDL = high-density lipoprotein; HIV = human immunodeficiency virus; IQR = interquartile range; N/A = not applicable; OR = odds ratio; SD = standard deviation. In univariate analysis, nephropathy in HIV-negative diabetic patients was significantly associated with lower body mass index (OR 0.95; 95% CI [0.91–0.99]), longer duration of disease (OR 1.04; 95% CI [1.01–1.06]), higher glycosylated hemoglobin (OR 1.21; 95% CI [1.10–1.33]), higher fructosamine (OR 1.00; 95% CI [1.00–1.01]), and retinopathy (OR 3.47; 95% CI [2.06–5.87]). When the variables were subjected to multivariate analysis, only retinopathy (OR 3.04; 95% CI [1.70–5.45]) remained a significant predictor of nephropathy.

Table 2

Logistic regression analysis of factors associated with overall nephropathy in HIV-positive patients

VariableNormal to mildly increased albuminuria < 30 mg albumin/g creatinineNephropathy ≥ 30 mg albumin/g creatinineUnivariate analysisMultivariate analysis
OR (95% CI)P valueOR (95% CI)P value
Sex
 Female91210.483N/AN/A
 Male491.69 (0.39–7.27)
Age, years, mean (SD)52.3 (13.4)53.1 (10.9)1.01 (0.95–1.07)0.835N/AN/A
Body mass index, kg/m2, mean (SD)25.4 (5.7)24.8 (5.0)0.97 (0.85–1.11)0.700N/AN/A
Duration of disease, years, mean (SD)7.2 (8.7)5.5 (6.5)0.97 (0.88–1.06)0.492N/AN/A
Consume alcohol
 Yes01N/AN/AN/AN/A
 No1320
Taking alternative medicine
 Yes20N/AN/AN/AN/A
 No1121
HbA1c, %, median (IQR)7.1 (6.0–9.7)8.5 (6.0–10.4)1.16 (0.87–1.56)0.305N/AN/A
Fructosamine, mmol/L2.7 (0.6)3.8 (1.6)1.01 (1.00–1.02)0.0491.01 (1.00–1.02)0.048
Triglycerides, mmol/L1.1 (0.7–1.3)1.4 (0.9–2.3)2.43 (0.76–7.81)0.1363.07 (0.76–12.43)0.116
Total cholesterol, mmol/L3.8 (3.0–4.7)4.5 (3.7–5.4)1.69 (0.90–3.18)0.1011.43 (0.69–2.99)0.338
HDL cholesterol, mmol/L1.1 (0.8–1.3)1.2 (0.8–1.5)1.35 (0.26–7.13)0.722N/AN/A
Hypertension
 Yes11170.77 (0.12–4.96)0.786N/AN/A
 No241
Retinopathy
 Yes251.67 (0.27–10.33)0.583N/AN/A
 No10151

CI = confidence interval; HDL = high-density lipoprotein; IQR = interquartile range; N/A = not applicable; OR = odds ratio; SD = standard deviation. In univariate analysis nephropathy in HIV-positive diabetic patients was significantly associated with higher fructosamine (OR 1.01; 95% CI [1.00–1.02]). When the variables were subjected to multivariate analysis, only higher fructosamine (OR 1.01; 95% CI [1.00–1.02]) remained a significant predictor of nephropathy. There was an increased odds of nephropathy with increase in fructosamine OR 1.004 (95% CI 1.001–1.007, P = 0.009), controlling for other variables in the model in the manuscript.

Logistic regression analysis of factors associated with overall nephropathy in HIV-negative patients CI = confidence interval; HDL = high-density lipoprotein; HIV = human immunodeficiency virus; IQR = interquartile range; N/A = not applicable; OR = odds ratio; SD = standard deviation. In univariate analysis, nephropathy in HIV-negative diabetic patients was significantly associated with lower body mass index (OR 0.95; 95% CI [0.91–0.99]), longer duration of disease (OR 1.04; 95% CI [1.01–1.06]), higher glycosylated hemoglobin (OR 1.21; 95% CI [1.10–1.33]), higher fructosamine (OR 1.00; 95% CI [1.00–1.01]), and retinopathy (OR 3.47; 95% CI [2.06–5.87]). When the variables were subjected to multivariate analysis, only retinopathy (OR 3.04; 95% CI [1.70–5.45]) remained a significant predictor of nephropathy. Logistic regression analysis of factors associated with overall nephropathy in HIV-positive patients CI = confidence interval; HDL = high-density lipoprotein; IQR = interquartile range; N/A = not applicable; OR = odds ratio; SD = standard deviation. In univariate analysis nephropathy in HIV-positive diabetic patients was significantly associated with higher fructosamine (OR 1.01; 95% CI [1.00–1.02]). When the variables were subjected to multivariate analysis, only higher fructosamine (OR 1.01; 95% CI [1.00–1.02]) remained a significant predictor of nephropathy. There was an increased odds of nephropathy with increase in fructosamine OR 1.004 (95% CI 1.001–1.007, P = 0.009), controlling for other variables in the model in the manuscript.
  2 in total

1.  Logistic regression: a brief primer.

Authors:  Jill C Stoltzfus
Journal:  Acad Emerg Med       Date:  2011-10       Impact factor: 3.451

2.  Prevalence of and Factors Associated with Nephropathy in Diabetic Patients Attending an Outpatient Clinic in Harare, Zimbabwe: Methodological Issues.

Authors:  Reza Pakzad; Saeid Safiri
Journal:  Am J Trop Med Hyg       Date:  2017-09       Impact factor: 2.345

  2 in total

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