Recalibrating the Non-Communicable Diseases risk prediction tools for the rural population of Western India.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
22 02 2022
Historique:
received: 25 06 2021
accepted: 16 02 2022
entrez: 23 2 2022
pubmed: 24 2 2022
medline: 20 4 2022
Statut: epublish

Résumé

The aim of the present study was to recalibrate the effectiveness of Indian Diabetes Risk Score (IDRS) and Community-Based Assessment Checklist (CBAC) by opportunistic screening of Diabetes Mellitus (DM) and Hypertension (HT) among the people attending health centres, and estimating the risk of fatal and non-fatal Cardio-Vascular Diseases (CVDs) among them using WHO/ISH charts. All the people aged ≥ 30 years attending the health centers were screened for DM and HT. Weight, height, waist circumference, and hip circumferences were measured, and BMI and Waist-Hip Ratio (WHR) were calculated. Risk categorization of all participants was done using IDRS, CBAC, and WHO/ISH risk prediction charts. Individuals diagnosed with DM or HT were started on treatment. The data was recorded using Epicollect5 and was analyzed using SPSS v.23 and MedCalc v.19.8. ROC curves were plotted for DM and HT with the IDRS, CBAC score, and anthropometric parameters. Sensitivity (SN), specificity (SP), Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy and Youden's index were calculated for different cut-offs of IDRS and CBAC scores. A total of 942 participants were included for the screening, out of them, 9.2% (95% CI: 7.45-11.31) were diagnosed with DM for the first time. Hypertension was detected among 25.7% (95% CI: 22.9-28.5) of the participants. A total of 447 (47.3%) participants were found with IDRS score ≥ 60, and 276 (29.3%) with CBAC score > 4. As much as 26.1% were at moderate to higher risk (≥ 10%) of developing CVDs. Area Under the Curve (AUC) for IDRS in predicting DM was 0.64 (0.58-0.70), with 67.1% SN and 55.2% SP (Youden's Index 0.22). While the AUC for CBAC was 0.59 (0.53-0.65). For hypertension both the AUCs were 0.66 (0.62-0.71) and 0.63 (0.59-0.67), respectively. IDRS was found to have the maximum AUC and sensitivity thereby demonstrating its usefulness as compared to other tools for screening of both diabetes and hypertension. It thus has the potential to expose the hidden NCD iceberg. Hence, we propose IDRS as a useful tool in screening of Diabetes and Hypertension in rural India.

Sections du résumé

BACKGROUND
The aim of the present study was to recalibrate the effectiveness of Indian Diabetes Risk Score (IDRS) and Community-Based Assessment Checklist (CBAC) by opportunistic screening of Diabetes Mellitus (DM) and Hypertension (HT) among the people attending health centres, and estimating the risk of fatal and non-fatal Cardio-Vascular Diseases (CVDs) among them using WHO/ISH charts.
METHODS
All the people aged ≥ 30 years attending the health centers were screened for DM and HT. Weight, height, waist circumference, and hip circumferences were measured, and BMI and Waist-Hip Ratio (WHR) were calculated. Risk categorization of all participants was done using IDRS, CBAC, and WHO/ISH risk prediction charts. Individuals diagnosed with DM or HT were started on treatment. The data was recorded using Epicollect5 and was analyzed using SPSS v.23 and MedCalc v.19.8. ROC curves were plotted for DM and HT with the IDRS, CBAC score, and anthropometric parameters. Sensitivity (SN), specificity (SP), Positive Predictive Value (PPV), Negative Predictive Value (NPV), Accuracy and Youden's index were calculated for different cut-offs of IDRS and CBAC scores.
RESULTS
A total of 942 participants were included for the screening, out of them, 9.2% (95% CI: 7.45-11.31) were diagnosed with DM for the first time. Hypertension was detected among 25.7% (95% CI: 22.9-28.5) of the participants. A total of 447 (47.3%) participants were found with IDRS score ≥ 60, and 276 (29.3%) with CBAC score > 4. As much as 26.1% were at moderate to higher risk (≥ 10%) of developing CVDs. Area Under the Curve (AUC) for IDRS in predicting DM was 0.64 (0.58-0.70), with 67.1% SN and 55.2% SP (Youden's Index 0.22). While the AUC for CBAC was 0.59 (0.53-0.65). For hypertension both the AUCs were 0.66 (0.62-0.71) and 0.63 (0.59-0.67), respectively.
CONCLUSIONS
IDRS was found to have the maximum AUC and sensitivity thereby demonstrating its usefulness as compared to other tools for screening of both diabetes and hypertension. It thus has the potential to expose the hidden NCD iceberg. Hence, we propose IDRS as a useful tool in screening of Diabetes and Hypertension in rural India.

Identifiants

pubmed: 35193546
doi: 10.1186/s12889-022-12783-z
pii: 10.1186/s12889-022-12783-z
pmc: PMC8862298
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

376

Informations de copyright

© 2022. The Author(s).

Références

J Family Med Prim Care. 2020 Sep 30;9(9):4853-4860
pubmed: 33209812
JAMA. 2014 Feb 5;311(5):507-20
pubmed: 24352797
J Assoc Physicians India. 2010 Jul;58:434-6
pubmed: 21121209
Diabetes Res Clin Pract. 2020 Apr;162:108088
pubmed: 32087269
World J Diabetes. 2018 Jan 15;9(1):40-52
pubmed: 29359028
Biomed J. 2015 Jul-Aug;38(4):359-60
pubmed: 25355391
Diabetes Res Clin Pract. 2008 Apr;80(1):159-68
pubmed: 18237817
Med J Armed Forces India. 2017 Apr;73(2):123-128
pubmed: 28924311
N Engl J Med. 2007 Jun 7;356(23):2388-98
pubmed: 17554120
Circulation. 2004 Mar 9;109(9):1101-7
pubmed: 14993137
PLoS One. 2015 Aug 19;10(8):e0133618
pubmed: 26287807
Med J Armed Forces India. 2018 Jan;74(1):93-94
pubmed: 29386742
Health Aff (Millwood). 2007 Jan-Feb;26(1):13-24
pubmed: 17211010
JAMA Netw Open. 2018 Aug 3;1(4):e181271
pubmed: 30646115
J Assoc Physicians India. 2005 Sep;53:759-63
pubmed: 16334618
Am J Public Health. 2010 Apr;100(4):684-92
pubmed: 19608958
Int J Health Policy Manag. 2015 Apr 21;4(8):531-6
pubmed: 26340393
Nutrients. 2018 Dec 13;10(12):
pubmed: 30551656
J Assoc Physicians India. 2008 Jun;56:443-50
pubmed: 18822625

Auteurs

Manoj Kumar Gupta (MK)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India. drmkgbhu@gmail.com.

Pankaja Raghav (P)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Tooba Tanvir (T)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Vaishali Gautam (V)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Amit Mehto (A)

Veer Chandra Singh Garhwali Govt. Institute of Medical Science & Research, Srinagar, Uttarakhand, India.

Yachana Choudhary (Y)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Ankit Mittal (A)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Gyanendra Singh (G)

Department of Community & Family Medicine, All India Institute of Medical Sciences, Bhopal, India.

Garima Singh (G)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Pritish Baskaran (P)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

V R Rehana (VR)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Shaima Abdul Jabbar (SA)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

S Sridevi (S)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Akhil Dhanesh Goel (AD)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Pankaj Bhardwaj (P)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Suman Saurabh (S)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

S Srikanth (S)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

K H Naveen (KH)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

T Prasanna (T)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Neeti Rustagi (N)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Prem Prakash Sharma (PP)

Department of Community Medicine & Family Medicine, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH