Dysautonomia and small fiber neuropathy in post-COVID condition and Chronic Fatigue Syndrome.

BACKGROUND: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and post-COVID condition can present similarities such as fatigue, brain fog, autonomic and neuropathic symptoms. METHODS: The study included 87 patients with post-COVID condition, 50 patients with ME/CFS, and 50 healthy controls (HC). The hemodynamic autonomic function was evaluated using the deep breathing technique, Valsalva maneuver, and Tilt test. The presence of autonomic and sensory small fiber neuropathy (SFN) was assessed with the Sudoscan and with heat and cold evoked potentials, respectively. Finally, a complete neuropsychological evaluation was performed. The objective of this study was to analyze and compare the autonomic and neuropathic symptoms in post-COVID condition with ME/CFS, and HC, as well as, analyze the relationship of these symptoms with cognition and fatigue. RESULTS: Statistically significant differences were found between groups in heart rate using the Kruskal-Wallis test (H), with ME/CFS group presenting the highest (H = 18.3; p ≤ .001). The Postural Orthostatic Tachycardia Syndrome (POTS), and pathological values in palms on the Sudoscan were found in 31% and 34% of ME/CFS, and 13.8% and 19.5% of post-COVID patients, respectively. Concerning evoked potentials, statistically significant differences were found in response latency to heat stimuli between groups (H = 23.6; p ≤ .01). Latency was highest in ME/CFS, and lowest in HC. Regarding cognition, lower parasympathetic activation was associated with worse cognitive performance. CONCLUSIONS: Both syndromes were characterized by inappropriate tachycardia at rest, with a high percentage of patients with POTS. The prolonged latencies for heat stimuli suggested damage to unmyelinated fibers. The higher proportion of patients with pathological results for upper extremities on the Sudoscan suggested a non-length-dependent SFN.

Brain fog of post-COVID-19 condition and Chronic Fatigue Syndrome, same medical disorder?

BACKGROUND: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is characterized by persistent physical and mental fatigue. The post-COVID-19 condition patients refer physical fatigue and cognitive impairment sequelae. Given the similarity between both conditions, could it be the same pathology with a different precipitating factor? OBJECTIVE: To describe the cognitive impairment, neuropsychiatric symptoms, and general symptomatology in both groups, to find out if it is the same pathology. As well as verify if the affectation of smell is related to cognitive deterioration in patients with post-COVID-19 condition. METHODS: The sample included 42 ME/CFS and 73 post-COVID-19 condition patients. Fatigue, sleep quality, anxiety and depressive symptoms, the frequency and severity of different symptoms, olfactory function and a wide range of cognitive domains were evaluated. RESULTS: Both syndromes are characterized by excessive physical fatigue, sleep problems and myalgia. Sustained attention and processing speed were impaired in 83.3% and 52.4% of ME/CFS patients while in post-COVID-19 condition were impaired in 56.2% and 41.4% of patients, respectively. Statistically significant differences were found in sustained attention and visuospatial ability, being the ME/CFS group who presented the worst performance. Physical problems and mood issues were the main variables correlating with cognitive performance in post-COVID-19 patients, while in ME/CFS it was anxiety symptoms and physical fatigue. CONCLUSIONS: The symptomatology and cognitive patterns were similar in both groups, with greater impairment in ME/CFS. This disease is characterized by greater physical and neuropsychiatric problems compared to post-COVID-19 condition. Likewise, we also propose the relevance of prolonged hyposmia as a possible marker of cognitive deterioration in patients with post-COVID-19.

Evaluation of a commercial medium for identification of Candida species.

CHROMagar Candida (CHROMagar, France) was evaluated as a medium for the presumptive identification and isolation of yeasts using 1,537 isolates of medically important yeasts, including 970 Candida albicans, 165 Candida parapsilosis, 131 Candida glabrata, 62 Candida guilliermondii, 35 Candida krusei, 32 Candida tropicalis, 31 Rhodotorula rubra, 23 Trichosporon spp. (17 Trichosporon beigelii), 17 Candida famata, 16 Candida pelliculosa, 10 Pichia etchelsii, 10 Saccharomyces cerevisiae, 8 Candida lusitaniae, 7 Cryptococcus spp., and 20 isolates of other Candida spp. After 48 h of incubation at 37 degrees C, the sensitivity and specificity were, respectively, 99% and 100% for Candida albicans, 93.8% and 99.1% for Candida tropicalis, and 100% and 100% for Candida krusei. In addition to colony color, other colony characteristics were important for identification of some species, such as rough colonies in Candida krusei isolates or the halo around the colonies of Candida tropicalis. A great variety of colors was observed among species other than Candida albicans, Candida tropicalis, and Candida krusei. For identification purposes, CHROMagar Candida medium has an accuracy similar to that of germ-tube tests and chlamydospore development tests for Candida albicans and to that of the ATB ID32C kit (API, bioMérieux, France) for Candida tropicalis and Candida krusei.

A new method of antibiotyping yeasts for subspecies discrimination and distribution in human clinical specimens.

A study of the antibiotypes of 764 isolates of the genera Candida and Torulopsis from different clinical specimens is reported. The typing method was based on the susceptibility results obtained by the standardized and partially automated kit ATB-Fungus (API-bioMérieux), giving to each strain a code of six figures, according to these criteria: susceptibility to 5-fluorocytosine, amphotericin B, nystatin, miconazole, econazole, and ketoconazole. Candida albicans serotypes were determined by the Candida Check test (Iatron, Japan). Twenty-six antibiotypes were found in C. albicans (482 isolates), 21 types in serotype A, and 15 in serotype B strains. Candida parapsilosis (115 isolates) was divided into 11 antibiotypes, Torulopsis glabrata (53 isolates) into five, Candida guilliermondii (36 isolates) into 10 and Candida tropicalis (31 isolates) into eight. Depending on the sample origin, 000000 (susceptibility to all the antifungals tested) was the predominant C. albicans antibiotype (92.9% of blood isolates, 41.2% of vaginal isolates, 33.3% of respiratory isolates, isolates, 31.01% or oral and digestive tract isolates, and 25.0% of nail and skin isolates). No predominant antibiotypes were found in strains from respiratory tract, skin ad nails. A reproducibility close to 99% was found with the test. Simplicity and standardization could make this method useful for typing Candida and Torulopsis isolates.