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1.
Lancet Oncol ; 22(7): 970-976, 2021 07.
Artículo en Inglés | MEDLINE | ID: covidwho-1331315

RESUMEN

BACKGROUND: The COVID-19 pandemic has disrupted health-care systems, leading to concerns about its subsequent impact on non-COVID disease conditions. The diagnosis and management of cancer is time sensitive and is likely to be substantially affected by these disruptions. We aimed to assess the impact of the COVID-19 pandemic on cancer care in India. METHODS: We did an ambidirectional cohort study at 41 cancer centres across India that were members of the National Cancer Grid of India to compare provision of oncology services between March 1 and May 31, 2020, with the same time period in 2019. We collected data on new patient registrations, number of patients visiting outpatient clinics, hospital admissions, day care admissions for chemotherapy, minor and major surgeries, patients accessing radiotherapy, diagnostic tests done (pathology reports, CT scans, MRI scans), and palliative care referrals. We also obtained estimates from participating centres on cancer screening, research, and educational activities (teaching of postgraduate students and trainees). We calculated proportional reductions in the provision of oncology services in 2020, compared with 2019. FINDINGS: Between March 1 and May 31, 2020, the number of new patients registered decreased from 112 270 to 51 760 (54% reduction), patients who had follow-up visits decreased from 634 745 to 340 984 (46% reduction), hospital admissions decreased from 88 801 to 56 885 (36% reduction), outpatient chemotherapy decreased from 173634 to 109 107 (37% reduction), the number of major surgeries decreased from 17 120 to 8677 (49% reduction), minor surgeries from 18 004 to 8630 (52% reduction), patients accessing radiotherapy from 51 142 to 39 365 (23% reduction), pathological diagnostic tests from 398 373 to 246 616 (38% reduction), number of radiological diagnostic tests from 93 449 to 53 560 (43% reduction), and palliative care referrals from 19 474 to 13 890 (29% reduction). These reductions were even more marked between April and May, 2020. Cancer screening was stopped completely or was functioning at less than 25% of usual capacity at more than 70% of centres during these months. Reductions in the provision of oncology services were higher for centres in tier 1 cities (larger cities) than tier 2 and 3 cities (smaller cities). INTERPRETATION: The COVID-19 pandemic has had considerable impact on the delivery of oncology services in India. The long-term impact of cessation of cancer screening and delayed hospital visits on cancer stage migration and outcomes are likely to be substantial. FUNDING: None. TRANSLATION: For the Hindi translation of the abstract see Supplementary Materials section.


Asunto(s)
COVID-19/terapia , Prestación Integrada de Atención de Salud/tendencias , Accesibilidad a los Servicios de Salud/tendencias , Oncología Médica/tendencias , Neoplasias/terapia , Atención Ambulatoria/tendencias , COVID-19/diagnóstico , Diagnóstico Tardío , Detección Precoz del Cáncer/tendencias , Hospitalización/tendencias , Hospitales de Alto Volumen/tendencias , Humanos , India/epidemiología , Neoplasias/diagnóstico , Neoplasias/epidemiología , Aceptación de la Atención de Salud , Factores de Tiempo , Tiempo de Tratamiento , Listas de Espera
3.
Diabetes Metab Syndr ; 14(6): 1637-1640, 2020.
Artículo en Inglés | MEDLINE | ID: covidwho-1059520

RESUMEN

BACKGROUND AND AIMS: Currently there are limited tools available for triage of patients with COVID -19. We propose a new ABCD scoring system for patients who have been tested positive for COVID-19. METHODS: The ABCD score is for patients who have been tested positive for COVID-19 and admitted in a hospital. This score includes age of the patient, blood tests included leukopenia, lymphocytopenia, CRP level, LDH level,D-Dimer, Chest radiograph and CT Scan, Comorbidities and Dyspnea. RESULTS: The triage score had letters from alphabets which included A, B, C, D. The score was developed using these variables which outputs a value from 0 to 1. We had used the code according to traffic signal system; green(mild), yellow moderate) and red(severe). The suggestions for mild (green)category: symptomatic treatment in ward, in moderate (yellow) category: active treatment, semi critical care and oxygen supplementation, in severe (red) category: critical care and intensive care. CONCLUSIONS: This study is, to our knowledge, is the first scoring tool that has been prepared by Indian health care processional's and used alphabets A, B,C,D as variables for evaluation of admitted patients with COVID-19. This triage tool will be helpful in better management of patients with COVID-19. This score component includes clinical and radiopathological findings.A multi-centre study is required to validate all available scoring systems.


Asunto(s)
COVID-19/sangre , COVID-19/diagnóstico por imagen , Disnea/sangre , Disnea/diagnóstico por imagen , Índice de Severidad de la Enfermedad , Triaje/métodos , Factores de Edad , Pruebas Hematológicas/métodos , Pruebas Hematológicas/normas , Humanos , Admisión del Paciente/normas , Tomografía Computarizada por Rayos X/métodos , Tomografía Computarizada por Rayos X/normas , Triaje/normas
5.
Diabetes Metab Syndr ; 14(5): 1431-1437, 2020.
Artículo en Inglés | MEDLINE | ID: covidwho-679823

RESUMEN

BACKGROUND AND AIMSBACKGROUND: Currently there is limited knowledge on cancer and COVID-19; we conducted a systematic review and meta-analysis to evaluate the impact of cancer on serious events including ICU admission rate and mortality in COVID 19. METHODS: PubMed, Cochrane Central Register of Clinical Trials were searched on April 16, 2020, to extract published articles that reported the outcomes of cancer in COVID-19 patients. The search terms were "coronavirus" and "clinical characteristics" with no language or time restrictions. We identified 512 published results and 13 studies were included in the analysis. RESULTS: There were 3775 patients, of whom 63 (1·66%) had a cancer. The pooled estimates of ICU admission in COVID 19 patients with and without cancer were 40% versus 8·42%.The odds ratio of ICU admission rates between the cancer and non-cancer groups was 2.88 with a 95% CI of 1·18 to 7·01 (p = 0·026). The pooled estimates of death rate in COVID -19 patients with and without cancer were 20·83% versus 7·82%. The odds ratio of death rates between the cancer and non-cancer groups was 2.25 with a 95% CI ranging from 0·71 to 7·10 with p value of 0·166. The pooled prevalence of cancer patients was 2% (95 CI 1-4). CONCLUSIONS: Presence of cancer in COVID-19 leads to higher risk of developing serious events i.e. ICU admission, mechanical ventilation and mortality. The presence of cancer has a significant impact on mortality rate in COVID-19 patients.


Asunto(s)
Infecciones por Coronavirus/complicaciones , Neoplasias/complicaciones , Neumonía Viral/complicaciones , Betacoronavirus , COVID-19 , Comorbilidad , Infecciones por Coronavirus/mortalidad , Cuidados Críticos/estadística & datos numéricos , Humanos , Neoplasias/mortalidad , Pandemias , Neumonía Viral/mortalidad , Prevalencia , SARS-CoV-2
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