| Literature DB >> 31000189 |
P C Negi1, Sachin Sondhi2, Sanjeev Asotra3, Kunal Mahajan4, Ayushi Mehta5.
Abstract
The rheumatic heart disease continues to be an important cause of disease burden in India, affecting the population in their prime and productive phase of the life. The prevalence of rheumatic heart disease is varied in different Indian studies, because of the inclusion of different populations at different point of times and using different screening methods for the diagnosis. The data on incidence and prevalence on a nationally represented sample are lacking. There is a need for establishing a population-based surveillance system in the country for monitoring trends, management practices, and outcomes to formulate informed guidelines for initiating contextual interventions for prevention and control of rheumatic heart disease.Entities:
Keywords: Prevalence of RHD; Trend of RHD in India
Mesh:
Year: 2019 PMID: 31000189 PMCID: PMC6477130 DOI: 10.1016/j.ihj.2018.12.007
Source DB: PubMed Journal: Indian Heart J ISSN: 0019-4832
Hospital-based studies done in India showing hospital admission rates.
| Author | Study area | Year of survey | PERCENTAGE |
|---|---|---|---|
| Kutumbiah | Madras | 1941 | 39.5% |
| Sanjeevi | Bombay | 1946 | 46.8% |
| Vakil | Bombay | 1954 | 24.7% |
| Padamavati | Delhi | 1958 | 39.1% |
| Devichand | Shimla | 1959 | 50.6% |
| Mathur | Agra | 1960 | 35.1% |
| Malhotra | Punjab | 1963 | 27.6% |
| Banerjea | Calcutta | 1965 | 44.6% |
| Routry | Orissa | 2003 | 45% |
Population-based survey studies in India (clinical screening).
| Author | Age group | Number | Study area | Year of survey | Prevalence/1000 |
|---|---|---|---|---|---|
| Roy | 5–30 | 4847 | Ballabhgarh | 1969 | 2.2 |
| Mathur | 5–30 | 7953 | Agra | 1971 | 1.8 |
| Berry | 5–30 | 19,768 | Chandigarh | 1972 | 1.87 |
| Grover et all | 5–15 | 31,200 | Rural area of Ambala, Haryana | 1988–1991 | 0.9 |
| Lalchandani et al | 7–15 | 3963 | Rural area of Kanpur | 2000 | 4.58 |
School-based surveys on prevalence of rheumatic heart disease based on clinical screening only.
| Author | Year of survey | Area | Population | Age group | Prevalence |
|---|---|---|---|---|---|
| ICMR | 1972–1975 | Agar, Alleppy, Delhi Hyderabad | 133,000 | – | 6–11 |
| Koshi et al | 1975–1978 | Vellore | 3890 | 4–16 | 4.4 |
| ICMR | 1982–1990 | Delhi | 13,509 | 5–15 | 2.9 |
| ICMR | 1984–1987 | Delhi, Varanasi, Vellore | 52,793 | – | 1.0–5.7 |
| Patel et al | 1986 | Anand | 11,346 | 8–18 | 2.03 |
| Avasthi | 1987 | Ludhiana | 6005 | 6–16 | 1.3 |
| Padamavati | 1984–1994 | Delhi | 40,000 | 5–10 | 3.9 |
| Kumar et al | 1992 | Churu | 10,168 | 5–15 | 3.34 |
School-based surveys on prevalence of rheumatic heart disease based on clinical screening followed by echocardiography confirmation.
| Author | Year of survey | Area | Methodology | Population | Age group | Prevalence |
|---|---|---|---|---|---|---|
| Grover et al | 1988–91 | Ambala (Rural) | (C + ES) | 31,200 | 5–15 | 2.1 |
| Agarwal et al | 1991 | Aligarh (Rural) | (C + ES) | 3760 | 5–15 | 6.4 |
| Gupta et al | 199,2 | Jammu | (C + ES) | 10,263 | 6–16 | 1.3 |
| Thakur et al | 1992–93 | Shimla (Rural + Urban) | (C + ES) | 10,805 | 5–16 | 4.8 (rural) |
| Vashistha et al | 1993 | Agra (Urban) | (C + ES) | 8449 | 5–15 | 1.42 |
| Kaul et al | 1999–2000 | Srinagar | (C + ES) | 4125 | 5–15 | 5.09 |
| Jose et al | 2001–02 | Vellore (Rural) | (C + ES) | 229,829 | 6–18 | 0.68 |
| ICMR | 2002–05 | Kochi, Vellore, Chandigarh, Indore, Shimla, Dibrugarh, Wayanad, Jodhpur, Jammu, Mumbai (Rural + urban) | (C + ES) | 100,269 | 5–15 | 0.43–1.47 |
| Kumar et al | 2002–09 | Rupnagar | (C + ES) | 813 | 5–14 | 1 |
| Misra et al | 2003–06 | Gorakhpur | (C + ES) | 118,212 | 4–18 | 0.5 |
| Periwal et al | 2006 | Bikaner (urban) | (C + ES) | 3292 | 5–14 | 0.67 |
| (C + ES) | ||||||
| Rama et al | 2011 | Prakasam A.P | (C + ES) | 4213 | 5–16 | 0.7 |
Fig. 1Trends of changes in prevalence of RF/RHD from early 1990s to late 2000 using clinical screening confirmed with echocardiography.
Fig. 2- Prevalence of RF/RHD in ICMR-led multicentric survey studies under Jai Vigyan Mission Mode Project from 2000 to 2010.
School-based surveys on prevalence of rheumatic heart disease based on echocardiography as a screening tool.
| Author | Bhaya et al | Saxena et al | Nair et al | Shrestha et al | Saxena et al |
|---|---|---|---|---|---|
| Geographical area in state | Bikaner, Rajasthan | Ballabhgarh, Haryana | Trivandrum, Kerala | Sunsari district in Eastern Nepal | Ballabhgarh block of Haryana, Navsari and Dang districts in southern part of Gujarat, Manipur, and Goa. |
| Year of survey | 2010 | 2008–2010 | 2013–2014 | 2012–14 | 2008–2016 |
| Rural/urban | Urban | Rural | Urban | Rural | Rural + urban |
| Age | 6–15 | 5–15 | 5–15 | 5–15 | 5–15 |
| Sample size | 1059 | 6270 | 2060 | 5178 | 16,294 |
| Sampling unit (Schools/population based) | Schools | School | Schools | Schools | Schools |
| Clinical + echocardiography of all (C + EA) | (C + EA) | (C + EA) | (C + EA) | (C + EA) | (C + EA) |
| Echocardiography criteria for diagnosis | WHO | WHO | World heart federation (WHF) | WHF | WHF |
| Prevalence reported with/1000 (95% CI) | 51 (95% CI: 38–64) | 20.4 (95% CI, 16.9–23.9). | 5.83 (95% CI, 2.5–9.1) | 10.2 (95% CI, 7.5–13.0) | 7.7 (95% CI 6.3, 9.0). |
CI, confidence interval; RHD, rheumatic heart disease.
Fig. 3Trends of change in prevalence of RF/RHD in ICMR-led multicentric survey studies across the country over a period of 40 years.