High Homocysteine Levels Are Associated with Cognitive Impairment in Patients Who Recovered from COVID-19 in the Long Term.

In this study, we measured the levels of depression and cognition in people recovering from COVID-19. Moreover, we aimed to investigate the relationship between depression and cognition levels by measuring homocysteine concentrations. It included 62 people recovering from COVID-19 (at least 3 months after positive RT-PCR) and 64 people without COVID-19 (control group). At first, the homocysteine levels of participants were measured. Beck Depression Inventory (BDI) and Montreal Cognitive Assessment (MoCA) were performed to collect data. Homocysteine levels of the group recovering from COVID-19 (x- = 19.065 µmol/L) were higher than the control group (x- = 11.313 µmol/L). There was no significant difference between the groups for BDI scores. The MoCA scores of the group recovering from COVID-19 (x- = 20.774) were lower than the control group (x- = 24.297). There was a negative high (r = -0.705, p < 0.001) correlation between homocysteine levels and MoCA scores. Linear regression analysis is shown to be significant, and the MoCA explanatory value of the variables in the model is 58.6% (p < 0.0001). A 1 µmol/L observed increase in homocysteine level constituted a risk for a 0.765-point decrease in MOCA scores. In patients recovering from COVID-19, early interventions to high homocysteine levels may prevent cognitive impairments that may persist in the long term.

Melatonin levels are low in COVID-19 positive patients and these levels are associated with depression, death anxiety and insomnia.

In this study, we aimed to measure the melatonin levels in COVID-19 positive patients and to investigate the relationship of these levels with depression, death anxiety and insomnia. COVID-19 positive pneumonia group, COVID-19 negative pneumonia group and healthy control groups were included in the study. Melatonin ELISA kit was used. Blood samples were taken at 23:00 h (h), 02:00 h and 06:00 h. Beck Depression Inventory (BDI), Templer Death Anxiety Scale (TDAS), Insomnia Severity Index (ISI) were employed to collect data from the participants. The melatonin levels of COVID-19 positive patients at 23:00 h were lower than the control group. In addition, and the melatonin levels of COVID-19 positive patients at 02:00 h and at 06:00 h were lower than both the COVID-19 negative patient group and the control group. It was observed that the peak melatonin concentration of COVID-19 positive patients occurred at 06:00 h. BDI, TDAS and ISI scores of COVID-19 positive patients were higher than other groups. There was a negative correlation between BDI, TDAS, ISI scores of COVID-19 positive patients and their melatonin levels. The correlation between all scale scores and melatonin levels was higher at 02:00 h. Adding melatonin to the treatment of COVID-19 positive patients may be beneficial for these patients experiencing high levels of depression, anxiety and insomnia.

Detection of SARS-CoV-2 RNA in Upper Respiratory Swap Samples by Pooling Method

Background: Widespread and effective use of molecular diagnostic tests is indispensable for protecting public health and containing the severe respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. More than 1 year into the pandemic, as resources have reached a point of depletion, grouping samples in pools of certain sizes appears to be a reasonable method to reduce both the costs and the processing time without necessitating additional training, equipment, or materials. Aims: To assess whether the pooling strategy that was used in past outbreaks and is used in blood tests prior to transfusion for screening large populations can also be used in SARS CoV-2 tests. Study Design: Diagnostic accuracy study. Methods: This prospective study was conducted with 2815 samples, sent to the coronavirus disease 2019 (COVID-19) Laboratory of our hospital between February 12 and 21, 2021, to be tested for the presence of SARS-CoV-2. The samples were examined individually and in pools of five 100 µl taken from each sequential sample, using 3 different SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) kits, the Allplex™ 2019-nCoV Assay kit (Seegene, Republic of Korea), the GeneMAP™ 2019-nCoV detection V.3 kit (GenMark, Türkiye), and the Bio-Speedy™ SARS-CoV-2 Double Gene™ RT-qPCR kit (Bioeksen, Türkiye) on the BioRAD CFX96™ Touch (Bio-Rad Laboratories Inc., Hercules, CA, USA) platform available in our laboratory. Results: Following the extraction of serial dilutions prepared from the SARS-CoV-2 RNA positive (cycle of threshold: 20) sample, the standard curves of RT-PCR were analyzed. By evaluating the efficiency (E) values, all 3 kits showed high sensitivity and similar results; while the highest level was detected with the Allplex™ 2019-nCoV Assay kit in the nucleocapsid (N) gene (E: 124%), the lowest was detected with the Double Gene™ RT-qPCR kit in the N and ORF 1ab genes (E: 90%). Of the samples included in the study, only 1 positive sample with low viral load was found to be negative when studied by pooling. The total number of kits to be used in pooled tests and then to individually retest the 5 samples in positive pools was calculated as 827 and the savings rate as 69.91% (1968/2815). Conclusion: The pooling strategy is an effective approach to extend the impact of limited testing resources and reagents available in certain periods of the COVID-19 pandemic. Testing by pooling samples requires improvement of RNA extraction methods and careful monitoring of RT-PCR test sensitivity to avoid missing low-positive entities. Therefore, based on the prevalence of COVID-19 in their regions, laboratories should conduct their own validation of pooling studies for RNA extraction and amplification methods they use.

Real-life experience: sensitivity and specificity of nasal and saliva samples for COVID-19 diagnosis.

BACKGROUND: COVID-19 (coronavirus disease 2019) outbreak has spread rapidly around the world, continues to show its effect, and it is not clear how long it will continue. For the diagnosis of COVID-19, it is important to ensure the comfort of the patients and to protect the healthcare workers (HCWs) by reducing the use of protective equipment. AIMS: To evaluate or assess whether the samples taken by the patient for COVID-19 testing during this pandemic period can be used in real-life experience. METHODS: Three different samples (nasopharyngeal taken by the healthcare worker, nasopharyngeal, and saliva taken by the patient) from 132 patients were evaluated for the diagnosis of COVID-19. The sensitivity and specificity of the samples in the diagnosis of COVID-19 were compared with real-life experience. RESULTS: Paired analyzes were performed by comparing each sample taken by the healthcare worker with the sample taken by the patient. The sensitivity of the three samples (nasopharyngeal taken by the healthcare worker, nasopharyngeal, and saliva taken by the patient) in the diagnosis of the COVID-19 was (100%, 98.7%, and 96.1%, respectively) accepted to be accurate. CONCLUSIONS: The sample taken by the paramedic was compatible compared to the real-life experience for the samples taken by the patient in the COVID-19 pandemic period. During the pandemic that is unknown when it will end, this study demonstrated that taking the sample of the patient alone for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test is a beneficial approach to the protection of the healthcare worker, reducing the need for protective equipment, increasing the patient's comfort and rapid sampling.

Clinical Outcomes and Independent Risk Factors for 90-Day Mortality in Critically Ill Patients with Respiratory Failure Infected with SARS-CoV-2: A Multicenter Study in Turkish Intensive Care Units.

BACKGROUND: There are limited data on the long-term outcomes of COVID-19 from different parts of the world. AIMS: To determine risk factors of 90-day mortality in critically ill patients in Turkish intensive care units (ICUs), with respiratory failure. STUDY DESIGN: Retrospective, observational cohort. METHODS: Patients with laboratory-confirmed COVID-19 and who had been followed up in the ICUs with respiratory failure for more than 24 hours were included in the study. Their demographics, clinical characteristics, laboratory variables, treatment protocols, and survival data were recorded. RESULTS: A total of 421 patients were included. The median age was 67 (IQR: 57-76) years, and 251 patients (59.6%) were men. The 90-day mortality rate was 55.1%. The factors independently associated with 90-day mortality were invasive mechanical ventilation (IMV) (HR 4.09 [95% CI: [2.20-7.63], P < .001), lactate level >2 mmol/L (2.78 [1.93-4.01], P < .001), age ≥60 years (2.45 [1.48-4.06)], P < .001), cardiac arrhythmia during ICU stay (2.01 [1.27-3.20], P = .003), vasopressor treatment (1.94 [1.32-2.84], P = .001), positive fluid balance of ≥600 mL/day (1.68 [1.21-2.34], P = .002), PaO2/FiO2 ratio of ≤150 mmHg (1.66 [1.18-2.32], P = .003), and ECOG score ≥1 (1.42 [1.00-2.02], P = .050). CONCLUSION: Long-term mortality was high in critically ill patients with COVID-19 hospitalized in intensive care units in Turkey. Invasive mechanical ventilation, lactate level, age, cardiac arrhythmia, vasopressor therapy, positive fluid balance, severe hypoxemia and ECOG score were the independent risk factors for 90-day mortality.