Impact of the COVID-19 Pandemic on Histopathological Diagnosis of Breast Tumours in Calabar, Nigeria

Q4 Medicine
Mfoniso Udonkang, Nse Umoh, Ofonime Ogba, Glory Bebia, David Onwineng, BLESSING ANKU, Naomi Ernest
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引用次数: 0

Abstract

The Coronavirus-19 transmitted through physical contact, droplets, and fomites caused severe respiratory disease resulting in high mortality worldwide. The COVID-19 pandemic caused innumerable hardships, panic, and restrictions of movement which negatively affected the assessment of healthcare services like breast cancer diagnosis in many countries. The results from the histopathological diagnosis of breast tumours have been routinely employed for the treatment and management of these diseases. This study investigated the impact of the COVID-19 pandemic on the histopathological diagnosis of breast tumours in Calabar. A retrospective study of the newly diagnosed breast tumours recorded in the Histopathology Laboratory register during the COVID-19 and the post-COVID-19 recovery from January 2020-February 2021 was compared with cases diagnosed before the pandemic from January 2018 to February 2019. Descriptive and inferential statistics and the Artificial Neural Network (ANN) of Statistical Package for Social Sciences (SPSS) were used for data analysis. New breast tumours diagnosed based on month showed low rates of 2.4% and 1.2% during the first and second waves of the pandemic respectively. The diagnosed cases increased to 11.8% and 8.2% after the first and second waves of the virus respectively. There was a significantly strong negative correlation between the COVID-19 pandemic and lockdown measures with breast tumour diagnosis (r=-0.919, p=0.001). More benign tumours of 56(58.3%) cases with a mean age of 25.3±11.1 years were recorded before the pandemic and were statistically significant (F=64.260, p=0.004). More malignant cases of 48(57.1%) with a mean age of 47.5±11.7 years were recorded during the pandemic. The diagnosis of malignant tumours was statistically significant between both periods (F=183.550, p=0.001). The ANN model predicted a 25% reduction in breast tumour diagnosis during the pandemic. There was a 100% impact of the pandemic on tumour type, the nature of specimen, and mean age of subjects. The COVID-19 pandemic disrupted the assessment of healthcare services as a smaller number of women were diagnosed with breast tumours during the period. This may have caused delays and late presentation leading to the diagnosis of more malignant tumours. There is a need to put adequate measures to encourage the assessment of diagnostic services during pandemics as delays may lead to an increase in morbidity and mortality
COVID-19大流行对尼日利亚卡拉巴尔市乳腺肿瘤组织病理学诊断的影响
冠状病毒-19通过身体接触、飞沫和污染物传播,导致严重的呼吸道疾病,导致全球高死亡率。COVID-19大流行造成了无数的困难、恐慌和行动限制,对许多国家的乳腺癌诊断等医疗保健服务的评估产生了负面影响。乳腺肿瘤的组织病理学诊断结果已被常规用于治疗和管理这些疾病。本研究探讨了COVID-19大流行对卡拉巴尔地区乳腺肿瘤组织病理学诊断的影响。回顾性研究了2020年1月至2021年2月期间组织病理学实验室登记处记录的新诊断的乳腺肿瘤,并将其与2018年1月至2019年2月大流行前诊断的病例进行了比较。采用描述性统计、推理统计和社会科学统计软件包(SPSS)中的人工神经网络(ANN)进行数据分析。按月诊断的新发乳腺肿瘤在大流行的第一波和第二波期间分别显示2.4%和1.2%的低发病率。第一波和第二波疫情后确诊病例分别上升至11.8%和8.2%。COVID-19大流行和封锁措施与乳腺肿瘤诊断之间存在显著的强负相关(r=-0.919, p=0.001)。大流行前有56例(58.3%)患者出现良性肿瘤,平均年龄25.3±11.1岁,差异有统计学意义(F=64.260, p=0.004)。恶性病例48例(57.1%),平均年龄47.5±11.7岁。两期恶性肿瘤的诊断差异有统计学意义(F=183.550, p=0.001)。人工神经网络模型预测,大流行期间乳腺肿瘤诊断率将降低25%。大流行对肿瘤类型、标本性质和受试者平均年龄的影响为100%。2019冠状病毒病大流行扰乱了对医疗保健服务的评估,因为在此期间被诊断患有乳腺肿瘤的妇女人数减少。这可能导致延迟和延迟表现,从而导致更多恶性肿瘤的诊断。有必要采取适当措施,鼓励对大流行病期间的诊断服务进行评估,因为延误可能导致发病率和死亡率增加
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来源期刊
Nigerian Journal of Physiological Sciences
Nigerian Journal of Physiological Sciences Medicine-Physiology (medical)
CiteScore
0.80
自引率
0.00%
发文量
23
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