Purpose

To describe the spectrum of hospitalized NeuroCOVID on admission in a tertiary neurology centre in Kolkata, the largest and most populated metropolitan city in Eastern India.

Method

We retrospectively studied confirmed COVID-19 patients admitted with a neurological condition from 1st May 2020 to 30th January 2021. Neurological diagnoses and their temporal relationship to respiratory features along with clinicodemographic profile for such patients was ascertained.

Result

228 patients were diagnosed with NeuroCOVID at our centre. Of the 162 included population (median age was 59 (50–70) and 62.3% (1 0 1) were male) and 73.5% were diagnosed with NeuroCovid before any respiratory or febrile features. 46 patients (28.8%) had a pre/co-existing neurological illness, and 103 (63.6%) had systemic comorbidities. No significant difference was observed when comparing demographics and comorbidities of NeuroCOVID patients presenting with and without fever and respiratory features. Moreover, no individual NeuroCOVID diagnosis was more prone to present with respiratory or febrile features. Diabetes mellitus was the only comorbidity which was significantly higher in the ischemic stroke group, all other comorbidities and characteristics were evenly distributed between stroke and non-stroke NeuroCOVID patients and encephalopathy non encephalopathy NeuroCOVID patients.

Conclusion

Stroke and encephalopathy are the most prevalent parainfectious neurological conditions occurring with COVID-19 in the Indian population. This study demonstrates seemingly low-risk individuals (i.e. people without pre-existing systemic and neurological comorbidities) may develop neurological conditions. Moreover, NeuroCOVID may manifest independent of respiratory features and fever.

中文翻译：

---

印度东部一家三级护理神经病学中心的住院 NeuroCOVID 诊断谱

目的

描述在印度东部最大和人口最多的大都市加尔各答的三级神经病学中心入院时住院的 NeuroCOVID 的谱。

方法

我们回顾性研究了 2020 年 5 月 1 日至 2021 年 1 月 30 日期间因神经系统疾病入院的确诊 COVID-19 患者。确定了这些患者的神经系统诊断及其与呼吸特征的时间关系以及临床人口统计学特征。

结果

我们中心有 228 名患者被诊断出患有 NeuroCOVID。在纳入的 162 名人群中（中位年龄为 59 岁（50-70 岁）和 62.3%（1  0 1) 是男性），73.5% 的人在出现任何呼吸或发热特征之前被诊断出患有 NeuroCovid。46 名患者 (28.8%) 有先前/共存的神经系统疾病，103 名 (63.6%) 有全身合并症。在比较有和没有发烧和呼吸特征的 NeuroCOVID 患者的人口统计学和合并症时，没有观察到显着差异。此外，没有任何单独的 NeuroCOVID 诊断更容易出现呼吸或发热特征。糖尿病是缺血性卒中组中唯一显着较高的合并症，所有其他合并症和特征在卒中和非卒中 NeuroCOVID 患者和脑病非脑病 NeuroCOVID 患者之间均匀分布。

结论

中风和脑病是印度人群中与 COVID-19 一起发生的最普遍的副感染性神经系统疾病。这项研究表明看似低风险的个体（即没有预先存在的全身性和神经系统合并症的人）可能会发展为神经系统疾病。此外，NeuroCOVID 的表现可能与呼吸特征和发烧无关。