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Rangamani S, Huliyappa D, Kulothungan V, Saravanan S, Murugan P, Mahadevan R, Rachel Packiaseeli C, Bobby E, Sunitha K, Mallick AK, Nayak SD, Swain SK, Behera M, Nath BK, Swami A, Kalwar AK, Difoesa B, Sardana V, Maheshwari D, Bhushan B, Mittal D, Chaurasia RN, Meena L, Vinay Urs KS, Koli RR, Suresh Kumar N, Mathur P. Stroke incidence, mortality, subtypes in rural and urban populations in five geographic areas of India (2018-2019): results from the National Stroke Registry Programme. Lancet Reg Health Southeast Asia 2024; 23:100308. [PMID: 38404513 PMCID: PMC10884975 DOI: 10.1016/j.lansea.2023.100308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 09/30/2023] [Accepted: 10/11/2023] [Indexed: 02/27/2024]
Abstract
Background Increasing stroke burden in India demands a long-term stroke surveillance framework. Earlier studies in India were urban-based, short term and provided limited data on stroke incidence and its outcomes. This gap is addressed by the establishment of five population-based stroke registries (PBSRs) of the National Stroke Registry Programme, India. This paper describes stroke incidence, mortality and age, sex, and subtypes distribution in the five PBSRs with urban and rural populations. Methods First-ever incident stroke patients in age group ≥18 years, resident for at least one year in the defined geographic area, identified from health facilities were registered. Death records with stroke as the cause of death from the Civil Registration System (CRS) were included. Transient ischemic attack (TIA) was excluded. Three PBSRs (Cuttack, Tirunelveli, Cachar) included urban and rural populations. PBSRs in Kota and Varanasi were urban areas. The crude and age-standardized incidence rate (ASR) by age, sex, and residence (urban and rural), rate ratios of ASR, case fatality proportions and rates at day 28 after onset of stroke were calculated for years 2018-2019. Findings A total of 13,820 registered first-ever stroke cases that included 985 death certificate-only cases (DCOs) were analysed. The pooled crude incidence rate was 138.1 per 100,000 population with an age-standardized incidence rate (ASR) of 103.4 (both sexes), 125.7 (males) and 80.8 (females). The risk of stroke among rural residents was one in seven (Cuttack), one in nine (Tirunelveli), and one in 15 (Cachar). Ischemic stroke was the most common type in all PBSRs. Age-standardized case fatality rates (ASCFR) per 100,000 population for pooled PBSRs was 30.0 (males) and 18.8 (females), and the rate ratio (M/F) ranged from 1.2 (Cuttack) to 2.0 (Cachar). Interpretation Population-based registries have provided a comprehensive stroke surveillance platform to measure stroke burden and outcomes by age, sex, residence and subtype across India. The rural-urban pattern of stroke incidence and mortality shall guide health policy and programme planning to strengthen stroke prevention and treatment measures in India. Funding The National Stroke Registry Programme is funded through the intramural funding of the Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, India.
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Affiliation(s)
- Sukanya Rangamani
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Deepadarshan Huliyappa
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Vaitheeswaran Kulothungan
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | | | - P.K. Murugan
- Tirunelveli Medical College, Tirunelveli, 627011, India
| | | | | | - Esakki Bobby
- Tirunelveli Medical College, Tirunelveli, 627011, India
| | | | - Ashok Kumar Mallick
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Soumya Darshan Nayak
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Santosh Kumar Swain
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Manoranjan Behera
- SCB Medical College & Hospital, Cuttack, Behera Colony, Mangalabag, Cuttack, Odisha, 753001, India
| | - Bhaskar Kanti Nath
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Abhijit Swami
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Amit Kumar Kalwar
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Bijush Difoesa
- Silchar Medical College, Beside Indian Post, Ghungoor, Masimpur, Silchar, Assam, 788014, India
| | - Vijay Sardana
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Dilip Maheshwari
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Bharat Bhushan
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Deepika Mittal
- Govt Medical College, MBS Hospital, Nayapura, Kota, Rajasthan, 324001, India
| | - Rameshwar Nath Chaurasia
- Department of Neurology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India
| | - L.P. Meena
- Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, 221005, India
| | - K S Vinay Urs
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Rahul Rajendra Koli
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Natesan Suresh Kumar
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
| | - Prashant Mathur
- ICMR-National Centre for Disease Informatics and Research, II Floor of Nirmal Bhawan, ICMR Complex Kannamangala Post, Bengaluru, 562 110, India
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Baruah J, Chaliha C, Kalita E, Nath BK, Field RA, Deb P. Modelling and optimization of factors influencing adsorptive performance of agrowaste-derived Nanocellulose Iron Oxide Nanobiocomposites during remediation of Arsenic contaminated groundwater. Int J Biol Macromol 2020; 164:53-65. [PMID: 32679332 DOI: 10.1016/j.ijbiomac.2020.07.113] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/24/2020] [Accepted: 07/10/2020] [Indexed: 12/07/2022]
Abstract
Nanocellulose Iron Oxide Nanobiocomposites (NIONs) were synthesized from rice husk and sugarcane bagasse derived nanocelluloses for adsorptive removal of arsenic and associated contaminants present in groundwater samples. These NIONSs were superparamagnetic, hence magnetically recoverable and demonstrated promising recyclability. Synthesis of NIONs was confirmed by Transmission electron microscopy (TEM), X-Ray Diffraction (XRD), Fourier transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopic (XPS). FTIR and XPS data together with adsorption kinetics provide insights into probable adsorption mechanism of Arsenic by NIONs. The experimental conditions for 10 different variants were modelled using response surface methodology (RSM) based on central composite design (CCD), considering the parameters; adsorbate dosage, adsorbent dosage, pH and contact time. The results identified the best performing variants and the optimal conditions for maximal absorption (~99%). These results were validated using a three-layer feed-forward Multilayer Perceptron (MLP) based Artificial Neural Network (ANN) model. Both RSM and ANN chemometric models were in close conformity for optimized conditions of highest adsorption by specific variants. The standardized conditions were used to expand the study to field-based arsenic contaminated groundwater samples and their performance to commercial adsorbents. NIONs show promising commercial potential for water remediation applications due to their high adsorptive performance, magnetic recoverability and recyclability.
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Affiliation(s)
- J Baruah
- Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam 784028, India; Department of Chemical Sciences, Tezpur University, Tezpur, Assam 784028, India
| | - C Chaliha
- Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam 784028, India
| | - E Kalita
- Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam 784028, India.
| | - B K Nath
- Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam 784028, India
| | - R A Field
- Department of Chemistry and Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
| | - P Deb
- Department of Physics, Tezpur University, Tezpur, Assam 784028, India
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Nath BK, Chaliha C, Kalita E. Iron oxide Permeated Mesoporous rice-husk nanobiochar (IPMN) mediated removal of dissolved arsenic (As): Chemometric modelling and adsorption dynamics. J Environ Manage 2019; 246:397-409. [PMID: 31200174 DOI: 10.1016/j.jenvman.2019.06.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 05/11/2019] [Accepted: 06/02/2019] [Indexed: 06/09/2023]
Abstract
Adsorption based technologies are most widely used to mitigate the global predominance of heavy-metal groundwater contaminants like Arsenic (As), owing to their high efficiency and economic operation. The current study involves the optimization of Iron oxide Permeated Mesoporous rice-husk nanobiochars (IPMN) for As removal, which were synthesized through a chemically amended pyrolytic approach. The IPMN variants were screened based on preliminary OVAT (one-variable-at-a-time) studies for As removal. Chemometric investigations employing a central composite design matrix of Response surface methodology was further used to understand the influence of the process parameters on the adsorption of As on the most efficient IPMN variant. A Multi-Layered-Perceptron based artificial neural network was further used to confirm the veracity of the experimental and predictive conditions, to derive the optimal condition for the best adsorption efficiency. In addition, the dynamics of As adsorption by the optimal IPMN variant was modelled using pseudo-first-order (Lagergren) and pseudo-second-order (Ho) rate kinetic equations followed by isotherm studies using non-linear regression of Langmuir, Freundlich and Sips adsorption isotherms. The IPMNs have an appreciably higher uptake capacity (>90%) for dissolved As, as compared to the native milled rice husk (∼20%), alongside a substantial recyclability, thereby establishing their potential as a highly efficient, economical and sustainable nanobiochar for As removal.
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Affiliation(s)
- B K Nath
- Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam, 784028, India
| | - C Chaliha
- Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam, 784028, India
| | - E Kalita
- Department of Molecular Biology and Biotechnology, Tezpur University, Tezpur, Assam, 784028, India.
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Biswas PK, Giasuddin M, Nath BK, Islam MZ, Debnath NC, Yamage M. Biosecurity and Circulation of Influenza A (H5N1) Virus in Live-Bird Markets in Bangladesh, 2012. Transbound Emerg Dis 2015; 64:883-891. [PMID: 26663031 DOI: 10.1111/tbed.12454] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Indexed: 11/29/2022]
Abstract
Bangladesh has been considered as one of the five countries endemic with highly pathogenic avian influenza A subtype H5N1 (HPAI H5N1). Live-bird markets (LBMs) in south Asian countries are believed to play important roles in the transmission of HPAI H5N1 and others due to its central location as a hub of the poultry trading. Food and Agriculture Organization (FAO) of the United Nations has been promoting improved biosecurity in LBMs in Bangladesh. In 2012, by enrolling 32 large LBMs: 10 with FAO interventions and 22 without assistance, we assessed the virus circulation in the selected LBMs by applying standard procedures to investigate market floors, poultry stall floors, poultry-holding cases and slaughter areas and the overall biosecurity using a questionnaire-based survey. Relative risk (RR) was examined to compare the prevalence of HPAI H5N1 in the intervened and non-intervened LBMs. The measures practised in significantly more of the FAO-intervened LBMs included keeping of slaughter remnants in a closed container; decontamination of poultry vehicles at market place; prevention of crows' access to LBM, market/floor cleaning by market committee; wet cleaning; disinfection of floor/poultry stall after cleaning; and good supply of clean water at market (P < 0.05). Conversely, disposal of slaughter remnants elsewhere at market and dry cleaning were in operation in more of the FAO non-intervened LBMs (P < 0.05). The RR for HPAI H5N1 in the intervened and non-intervened LBMs was 1.1 (95% confidence interval 0.44-2.76), suggesting that the proportion positive of the virus in the two kinds of LBM did not vary significantly (P = 0.413). These observations suggest that the viruses are still maintained at the level of production in farms and circulating in LBMs in Bangladesh regardless of interventions, albeit at lower levels than in other endemic countries.
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Affiliation(s)
- P K Biswas
- Department of Microbiology and Veterinary Public Health, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh
| | - M Giasuddin
- National Reference Laboratories for Avian Influenza, Bangladesh Livestock Research Institute, Savar, Dhaka, Bangladesh
| | - B K Nath
- Department of Dairy and Poultry Science, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh
| | - M Z Islam
- Department of Microbiology and Veterinary Public Health, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh
| | - N C Debnath
- Department of Microbiology and Veterinary Public Health, Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh.,Emergency Centre for Transboundary Animal Diseases (ECTAD), Food and Agriculture Organization of the United Nation, Dhaka, Bangladesh
| | - M Yamage
- Emergency Centre for Transboundary Animal Diseases (ECTAD), Food and Agriculture Organization of the United Nation, Dhaka, Bangladesh
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