Objectives. To evaluate the spectrum of neurological symptoms in patients with COVID-19 during the first 14 days of hospitalisation and its association with in-hospital mortality. Material and methods.We included 200 patients with RT-PCR-confirmed COVID-19 admitted to University Hospital in Krakow, Poland. In 164 patients, a detailed questionnaire concerning neurological symptoms and signs was performed prospectively within 14 days of hospitalisation. In the remaining 36 patients, such questionnaires were completed retrospectively based on daily observations in the Department of Neurology.Results. During hospitalisation, 169 patients (84.5%) experienced neurological symptoms; the most common were: fatigue (62.5%), decreased mood (45.5%), myalgia (43.5%), and muscle weakness (42.5%). Patients who died during hospitalisation compared to the remainder were older (79 [70.5-88.5] vs. 63.5 [51-77] years, p = 0.001), and more often had decreased level of consciousness (50.0% vs. 9.3%, p < 0.001), delirium (33.3% vs. 4.4%, p < 0.001), arterial hypotension (50.0% vs. 19.6%, p = 0.005) or stroke during (18.8% vs. 3.3%, p = 0.026) or before hospitalisation (50.0% vs. 7.1, p < 0.001), whereas those who survived more often suffered from headache (42.1% vs. 0%, p = 0.012) or decreased mood (51.7% vs. 0%, p = 0.003). www.journals.viamedica.pl/neurologia_neurochirurgia_polska Marcin Wnuk et al., Neurological symptoms in COVID-19 Conclusions. Most hospitalised patients with COVID-19 experience neurological symptoms. Decreased level of consciousness, delirium, arterial hypotension, and stroke during or before hospitalisation increase the risk of in-hospital mortality.

Purpose To investigate the utility of biomarkers of maturity-onset diabetes of the young (MODY), high-sensitivity C-reactive protein (hsCRP), and 1,5-anhydroglucitol (1,5-AG) in conjunction with other clinical and laboratory features to improve diagnostic accuracy and provide a diagnostic algorithm for HNF1A MODY. Methods We examined 77 patients with HNF1A MODY, 88 with GCK MODY mutations, 99 with type 1 diabetes, and 92 with type 2 diabetes. In addition to 1,5-AG and hsCRP, we considered body mass index (BMI), fasting glucose, and fasting serum C-peptide as potential biomarkers. Logistic regression and receiver operating characteristic curves were used in marker evaluation. Results Concentration of hsCRP was lowest in HNF1A MODY (0.51 mg/l) and highest in type 2 diabetes (1.33 mg/l). The level of 1,5-AG was lowest in type 1 diabetes and HNF1A MODY, 3.8 and 4.7 μg/ml, respectively, and highest (11.2 μg/ml) in GCK MODY. In the diagnostic algorithm, we first excluded patients with type 1 diabetes based on low C-peptide (C-statistic 0.98) before using high BMI and C-peptide to identify type 2 diabetes patients (C-statistic 0.92). Finally, 1,5-AG and hsCRP in conjunction yielded a C-statistic of 0.86 in discriminating HNF1A from GCK MODY. We correctly classified 92.9% of patients with type 1 diabetes, 84.8% with type 2 diabetes, 64.9% HNF1A MODY, and 52.3% GCK MODY patients. Conclusions Plasma 1,5-AG and serum hsCRP do not discriminate sufficiently HNF1A MODY from common diabetes types, but could be potentially useful in prioritizing Sanger sequencing of HNF1A gene.

Aim The impact of maturity onset diabetes of the young (MODY) on quality of life (QoL) has never been examined. We assessed disease impact on QoL among patients with HNF1A-MODY and GCK mutation carrier status. Methods The study included 80 patients with HNF1A-MODY and 89 GCK gene mutation carriers. We also examined 128 type 1 diabetes (T1DM) patients for comparison. Diabetes-specific QoL was assessed using the Audit of Diabetes Dependent Quality of Life questionnaire. Results HNF1A-MODY and GCK-MODY groups had similar mean age (41.7 vs. 38.0 years, respectively) and BMI (24.1 vs. 24.3 kg/m 2), whereas T1DM patients were on average younger (34.2 years) with similar BMI (25.0 kg/m 2). Less than a third of GCK mutation carriers were on pharmacotherapy (n = 20, 31%), while the majority of HNF1A mutation carriers used oral drugs or insulin (n = 66, 82.5%). While current QoL was similar across the three groups (p = 0.66), two other major indices-the impact of diabetes on QoL and the average weighted impact (AWI)-differed among them (p < 0.001 for both comparisons). The impact of diabetes on patient QoL and AWI observed in both MODY groups was smaller than in T1DM. Etiological diagnosis of diabetes and a diagnosis of retinopathy were the only independent factors influencing the impact of diabetes on QoL and AWI in regression analysis. In HNF1A-MODY, all three major indices of QoL were more heavily influenced for patients on insulin in comparison to other treatment subgroups. Conclusion MODY has a smaller negative impact on QoL compared to T1DM. Mode of treatment further stratifies QoL decline for HNF1A-MODY subjects.