Phenylephrine Alters Phase Synchronization between Cerebral Blood Velocity and Blood Pressure in Chronic Fatigue Syndrome with Orthostatic Intolerance

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) with orthostatic intolerance (OI) is characterized by neuro-cognitive deficits perhaps related to upright hypocapnia and loss of cerebral autoregulation (CA). We performed N-back neurocognition testing and calculated the phase synchronization index (PhSI) between Arterial Pressure (AP) and cerebral blood velocity (CBV) as a time-dependent measurement of cerebral autoregulation in 11 control (mean age=24.1 years) and 15 ME/CFS patients (mean age=21.8 years). All ME/CFS patients had postural tachycardia syndrome (POTS).

A 10-minute 60⁰ head-up tilt (HUT) significantly increased heart rate (109.4 ± 3.9 vs. 77.2 ± 1.6 beats/min, P <0.05) and respiratory rate (20.9 ± 1.7 vs. 14.2 ± 1.2 breaths/min, P < 0.05) and decreased end-tidal CO2 (ETCO2; 33.9 ± 1.1 vs. 42.8 ± 1.2 Torr, P < 0.05) in ME/CFS vs. control. In ME/CFS, HUT significantly decreased CBV compared to control (-22.5% vs -8.7%, p<0.005).

To mitigate the orthostatic CBV reduction, we administered supplemental CO2, phenylephrine and acetazolamide and performed N-back testing supine and during HUT. Only phenylephrine corrected the orthostatic decrease in neurocognition by reverting % correct n=4 N-back during HUT in ME/CFS similar to control (ME/CFS=38.5±5.5 vs. ME/CFS+PE= 65.6±5.7 vs. Control 56.9±7.5). HUT in ME/CFS resulted in increased PhSI values indicating decreased CA. While CO2 and Acetazolamide had no effect on PhSI in ME/CFS, PE caused a significant reduction in PhSI (ME/CFS=0.80±0.03 vs ME/CFS+PE= 0.69±0.04, p< 0.05) and improved cerebral autoregulation. Thus, PE improved neurocognitive function in ME/CFS patients, perhaps related to improved neurovascular coupling, cerebral autoregulation and maintenance of CBV.

Source: Medow MS, Stewart JM. Phenylephrine Alters Phase Synchronization between Cerebral Blood Velocity and Blood Pressure in Chronic Fatigue Syndrome with Orthostatic Intolerance. Am J Physiol Regul Integr Comp Physiol. 2024 Apr 29. doi: 10.1152/ajpregu.00071.2024. Epub ahead of print. PMID: 38682242. https://journals.physiology.org/doi/abs/10.1152/ajpregu.00071.2024 (Full text available as PDF file)

Exploring the neurocognitive consequences of post-exertional malaise in myalgic encephalomyelitis

Background and aims:

Myalgic encephalomyelitis (ME) is a complex, debilitating and heterogeneous disorder. It affects over 500,000 people in Canada but remains poorly understood. People are affected with multi-systemic symptoms such as fatigue that is not alleviated by rest, pain, cognitive impairment and post-exertional malaise (PEM), which is considered as the hallmark symptom of ME. PEM is triggered by minimal mental or physical effort and exacerbates other symptoms. Our aim was to measure how individuals’ cognition can be impacted by the induction of PEM, and investigate the difference in cognitive response.

Section snippets:

Methods
A prospective cohort of people with ME (n = 42) and matched healthy controls (n = 15) was recruited and subjected to PEM induction through a 90-minutes mechanical arm stimulation. BrainCheck test (BrainCheck, Inc., TX, USA) was used at baseline (T0) and after 90 minutes of stimulation to evaluate six cognitive domains for which each participant received a score and a population percentile based on their performance.

Results
Comparison between both groups was significant (p < 0.05) at T90, but not at T0, in four out of six cognitive domains. We then classified our ME cohort in three clusters by k-means method based on the Δ percentile (T90-T0) for each cognitive task. This stratification allowed us to notice how some cognitive domains seem more affected depending on the cluster, namely memory and attention.

Conclusions
These results showed the impact of PEM on the disturbance of cognition in the context of ME as well as the variability of cognitive domains affected in people with ME.

Source: Corinne Leveau, Iurie Caraus, Anita Franco, Alain Moreau. Exploring the neurocognitive consequences of post-exertional malaise in myalgic encephalomyelitis. Journal of the Neurological Sciences, Volume 455, Supplement, December 2023, 122590. https://www.sciencedirect.com/science/article/abs/pii/S0022510X23020518

 

Characterization of neurocognitive deficits in patients with post-COVID-19 syndrome: persistence, patients’ complaints, and clinical predictors.

Abstract:

Introduction: Cognitive symptoms persisting beyond 3 months following COVID-19 present a considerable disease burden. We aimed to establish a domain-specific cognitive profile of post-COVID-19 syndrome (PCS). We examined the deficits’ persistence, relationships with subjective cognitive complaints, and clinical variables, to identify the most relevant cognitive deficits and their predictors.

Methods: This cross-sectional study examined cognitive performance and patient-reported and clinical predictors of cognitive deficits in PCS patients (n = 282) and socio-demographically comparable healthy controls (n = 52).

Results: On the Oxford Cognitive Screen-Plus, the patient group scored significantly lower in delayed verbal memory, attention, and executive functioning than the healthy group. In each affected domain, 10 to 20% of patients performed more than 1.5 SD below the control mean. Delayed memory was particularly affected, with a small effect of hospitalization and age. Attention scores were predicted by hospitalization and fatigue.

Discussion: Thus, PCS is associated with long-term cognitive dysfunction, particularly in delayed memory, attention, and executive functioning. Memory deficits seem to be of particular relevance to patients’ experience of subjective impairment. Hospitalization, fatigue, and age seem to predict cognitive deficits, while time since infection, depression, and pre-existing conditions do not.

Source: Kozik V, Reuken P, Utech I, Gramlich J, Stallmach Z, Demeyere N, Rakers F, Schwab M, Stallmach A, Finke K. Characterization of neurocognitive deficits in patients with post-COVID-19 syndrome: persistence, patients’ complaints, and clinical predictors. Front Psychol. 2023 Oct 17;14:1233144. doi: 10.3389/fpsyg.2023.1233144. PMID: 37915528; PMCID: PMC10616256. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10616256/ (Full text)

Fatigue in post COVID-19 patients: the P4O2 COVID-19 study

Abstract:

Background: Some patients do not fully recover after COVID-19 and have symptoms occurring 3 months after acute illness, lasting for >2 months, defined as post COVID-19. Fatigue seems most present in post COVID-19 and part of the patients might develop symptoms similar to chronic fatigue syndrome.

Aim: To determine the occurrence of fatigue and other symptoms in post COVID-19 patients.

Methods: In the prospective P4O2 COVID-19 cohort, post COVID-19 patients aged 40-65 years were recruited from outpatient post-COVID clinics in 5 Dutch hospitals between May 2021-September 2022. At 3-6 months post-COVID, patients completed the Fatigue Severity Scale (FSS). If the FSS score was ≥4 (the cut-off for severe fatigue), patients also completed the DePaul Symptom Questionnaire version 2 (DSQ-2). The FSS ranges from 1-7 and a higher score means more fatigued. The DSQ-2 rates frequency and severity of 79 symptoms on a 5-point Likert scale. Binary thresholds (if scored ≥2 on both severity and frequency, the threshold is met and the symptom is present) were calculated.

Results: The mean age of the 78 included patients was 53.9±6.2 and 51.7% were male. Median (IQR) FSS score was 5.6 (4.2-6.3) and 66 patients (84.6%) had a score ≥4. According to the DSQ-2 (n=61), patients reported a median (IQR) of 16 (8-23) symptoms. The majority of the patients experienced fatigue (85%). Furthermore, post-exertional malaise (PEM) (40%), sleep-related problems (37%), pain (21%) and neurocognitive problems (23%) were frequently reported.

Conclusion: The occurrence of severe fatigue 3-6 months after COVID-19 was 84.6% in our cohort. Patients with severe fatigue also frequently reported PEM, sleep related problems, pain and neurocognitive problems.

Source: Merel E.B. Cornelissen, Lizan D. Bloemsma, Nadia Baalbaki, Somayeh Bazdar, Jelle M. Blankestijn, Inés Beekers, Rosanne J.H.C.G. Beijers, Joop P. Van Den Bergh, Debbie Gach, J.J. Miranda Geelhoed, Sebastiaan Holverda, Laura Houweling, John J. Jacobs, Renée Jonker, Ivo Van Der Lee, Paulien M.A. Linders, Lieke C.E. Noij, Esther J. Nossent, Marianne A. Van De Pol, Daphne W. Schaminee, Annemie M.W.J. Schols, Lisanne T. Schuurman, Brigitte Sondermeijer, Anouk W. Vaes, Els J.M. Weersink, Yolanda De Wit-Van Wijck, Martijn A. Spruit, Anke H. Maitland-Van Der Zee. Fatigue in post COVID-19 patients: the P4O2 COVID-19 study.

Neuropsychological measures of post-COVID-19 cognitive status

Abstract:

Background: COVID-19 may result in persistent symptoms in the post-acute phase, including cognitive and neurological ones. The aim of this study is to investigate the cognitive and neurological features of patients with a confirmed diagnosis of COVID-19 evaluated in the post-acute phase through a direct neuropsychological evaluation.

Methods: Individuals recovering from COVID-19 were assessed in an out-patient practice with a complete neurological evaluation and neuropsychological tests (Mini-Mental State Examination; Rey Auditory Verbal Test, Multiple Feature Target Cancellation Test, Trial Making Test, Digit Span Forward and Backward, and Frontal Assessment Battery). Pre- and post-COVID-19 global and mental health status was assessed along with the history of the acute phase of infection. Post-COVID-19 cognitive status was modeled by combining persistent self-reported COVID-related cognitive symptoms and pathologic neuropsychological tests.

Results: A total of 406 individuals (average age 54.5 ± 15.1 years, 45.1% women) were assessed on average at 97.8 ± 48.0 days since symptom onset. Persistent self-reported neurological symptoms were found in the areas of sleep (32%), attention (31%), and memory (22%). The MMSE mean score was 28.6. In total, 84 subjects (20.7%) achieved pathologic neuropsychological test results. A high prevalence of failed tests was found in digit span backward (18.7%), trail making (26.6%), and frontal assessment battery (10.9%). Cognitive status was associated with a number of factors including cardiovascular disease history, persistent fatigue, female sex, age, anxiety, and mental health stress.

Conclusion: COVID-19 is capable of eliciting persistent measurable neurocognitive alterations particularly relevant in the areas of attention and working memory. These neurocognitive disorders have been associated with some potentially treatable factors and others that may stratify risk at an early stage.

Source: Lauria A, Carfì A, Benvenuto F, Bramato G, Ciciarello F, Rocchi S, Rota E, Salerno A, Stella L, Tritto M, Di Paola A, Pais C, Tosato M, Janiri D, Sani G, Lo Monaco R, Pagano FC, Fantoni M, Bernabei R, Landi F, Bizzarro A; Gemelli Against COVID-19 Post-acute Care Group. Neuropsychological measures of post-COVID-19 cognitive status. Front Psychol. 2023 Jul 10;14:1136667. doi: 10.3389/fpsyg.2023.1136667. PMID: 37492442; PMCID: PMC10363721. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363721/ (Full text)

The effect of nirmatrelvir-ritonavir on the long-term risk of neuropsychiatric sequelae following COVID-19

Abstract:

The retrospective cohort was conducted to assess the effect of nirmatrelvir-ritonavir (NMV-r) on the long-term risk of neuropsychiatric sequela following COVID-19. TriNetX research network was used to identify nonhospitalized adult patients who tested positive for severe acute respiratory syndrome coronavirus 2 infection or were diagnosed with COVID-19 between March 1, 2020 and July 1, 2022. Further propensity score matching method was used to create two matched cohorts with and without receiving NMV-r.

The primary outcome was the incidence of neuropsychiatric sequela within a 90-day to 1-year period following a diagnosis of COVID-19. After screening 119 494 527 electronic health records, two matched cohorts of each 27 194 patients were identified. During the follow-up period, the NMV-r group demonstrated a reduced risk of any neuropsychiatric sequelae compared to the control group (odds ratio [OR], 0.634; 95% confidence interval [CI], 0.604-0.667).

In comparison with the control group, the patient treated with NMV-r exhibited a markedly diminished risk of developing neurocognitive sequela (OR, 0.377; 95% CI, 0.325-0.439) and psychiatric sequela (OR, 0.629; 95% CI, 0.593-0.666). In addition, patients treated with NMV-r had a significantly reduced risk of developing dementia (OR, 0.365; 95% CI, 0.255-0.522), depression (OR, 0.555; 95% CI, 0.503-0.612), insomnia (OR, 0.582; 95% CI, 0.508-0.668) and anxiety disorder (OR, 0.645 95% CI, 0.600-0.692). Moreover, the beneficial effect of NMV-r on the neuropsychiatric sequelae was observed across further subgroup analyses.

Among nonhospitalized COVID-19 patients, who at risk of disease progression, the use of NMV-r is associated with a reduction in the long-term risk of neuropsychiatric sequela, including dementia, depression, insomnia and anxiety disorder. It may be necessary to re-evaluate the use of NMV-r, as a preventive measure to reduce the risk of severe acute disease and post-acute adverse mental health outcomes.

Source: Liu TH, Wu JY, Huang PY, Tsai YW, Lai CC. The effect of nirmatrelvir-ritonavir on the long-term risk of neuropsychiatric sequelae following COVID-19. J Med Virol. 2023 Jul;95(7):e28951. doi: 10.1002/jmv.28951. PMID: 37436873. https://pubmed.ncbi.nlm.nih.gov/37436873/

Neuropsychological deficits in patients with persistent COVID-19 symptoms: a systematic review and meta-analysis

Abstract:

Long-term persistent symptoms of COVID-19 affect 30-80% of patients who have recovered from the disease and may continue for a long time after the disease has been overcome. The duration of these symptoms over time might have consequences that affect different aspects of health, such as cognitive abilities.

The main objective of this systematic review and meta-analysis was to objectify the persistent COVID-19 cognitive deficits after acute phase of infection and to summarize the existing evidence. Additionally, we aimed to provide a comprehensive overview to further understand and address the consequences of this disease. Our protocol was registered in PROSPERO (CRD42021260286).

Systematic research was conducted in the Web of Science, MEDLINE, PubMed, PsycINFO, Scopus, and Google Scholar databases from January 2020 to September 2021. Twenty-five studies were included, six of which were analyzed for the meta-analysis, and consisted of 175 patients who had recovered from COVID-19 and 275 healthy individuals. Analyses of cognitive performance of post-COVID-19 patients and healthy volunteers were compared using a random-effects model.

The results showed an overall medium-high effect size (g = -.68, p = .02) with a 95% CI (-1.05 to -.31), with a significantly moderate level of heterogeneity among studies (Z = 3.58, p < .001; I2 = 63%). The results showed that individuals who had recovered from COVID-19 showed significant cognitive deficits compared to controls.

Future studies should carefully assess the long-term progression of cognitive impairments in patients with persistent COVID-19 symptoms, as well as the effectiveness of rehabilitation interventions. Nevertheless, there is an urgent need to know the profile to speed up development of prevention plans as well as specific interventions. Since more information is being obtained and more studies are being conducted on the subject, the need to examine this symptomatology multidisciplinary to achieve greater scientific evidence of its incidence and prevalence has become increasingly clear.

Source: Sobrino-Relaño S, Balboa-Bandeira Y, Peña J, Ibarretxe-Bilbao N, Zubiaurre-Elorza L, Ojeda N. Neuropsychological deficits in patients with persistent COVID-19 symptoms: a systematic review and meta-analysis. Sci Rep. 2023 Jun 26;13(1):10309. doi: 10.1038/s41598-023-37420-6. PMID: 37365191; PMCID: PMC10293265. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293265/ (Full text)

The Conners Continuous Performance Test CPT3™: Is it a reliable marker to predict neurocognitive dysfunction in Myalgic encephalomyelitis/chronic fatigue syndrome?

Introduction: The main objective is to delimit the cognitive dysfunction associated with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) in adult patients by applying the Continuous Performance Test (CPT3). Additionally, provide empirical evidence on the usefulness of this computerized neuropsychological test to assess ME/CFS.

Method: The final sample (n = 225; 158 Patients/67 Healthy controls) were recruited in a Central Sensitization Syndromes (CSS) specialized unit in a tertiary hospital. All participants were administered this neuropsychological test.

Results: There were significant differences between ME/CFS and healthy controls in all the main measures of CPT3. Mainly, patients had a worse indicator of inattentiveness, sustained attention, vigilance, impulsivity, slow reaction time, and more atypical T-scores, which is associated with a likelihood of having a disorder characterized by attention deficits, such as Attention Deficit Hyperactivity Disorder (ADHD). In addition, relevant correlations were obtained between the CPT3 variables in the patient’s group. The most discriminative indicators of ME/CFS patients were Variability and Hit Reaction Time, both measures of response speed.

Conclusion: The CPT3 is a helpful tool to discriminate neurocognitive impairments from attention and response speed in ME/CFS patients, and it could be used as a marker of ME/CFS severity for diagnosing or monitoring this disease.

Source: Fernández-Quirós J, Lacasa-Cazcarra M, Alegre-Martín J, Sanmartín-Sentañes R, Almirall M, Launois-Obregón P, Castro-Marrero J, Rodríguez-Urrutia A, Navarro-Sanchis JA and Ramos-Quiroga JA (2023) The Conners Continuous Performance Test CPT3: Is it a reliable marker to predict neurocognitive dysfunction in Myalgic encephalomyelitis/chronic fatigue syndrome? Front. Psychol. 14:1127193. doi: 10.3389/fpsyg.2023.1127193 https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1127193/full (Full text)

Deep Dive into the Long Haul: Analysis of Symptom Clusters and Risk Factors for Post-Acute Sequelae of COVID-19 to Inform Clinical Care

Abstract:

Long COVID is a chronic condition characterized by symptoms such as fatigue, dyspnea, and cognitive impairment that persist or relapse months after an acute infection with the SARS-CoV-2 virus. Many distinct symptoms have been attributed to Long COVID; however, little is known about the potential clustering of these symptoms and risk factors that may predispose patients to certain clusters. In this study, an electronic survey was sent to patients in the UC San Diego Health (UCSDH) system who tested positive for COVID-19, querying if patients were experiencing symptoms consistent with Long COVID.

Based on survey results, along with patient demographics reported in the electronic health record (EHR), linear and logistic regression models were used to examine putative risk factors, and exploratory factor analysis was performed to determine symptom clusters. Among 999 survey respondents, increased odds of Long COVID (n = 421; 42%) and greater Long COVID symptom burden were associated with female sex (OR = 1.73, 99% CI: 1.16-2.58; β = 0.48, 0.22-0.75), COVID-19 hospitalization (OR = 4.51, 2.50-8.43; β = 0.48, 0.17-0.78), and poorer pre-COVID self-rated health (OR = 0.75, 0.57-0.97; β = -0.19, -0.32–0.07).

Over one-fifth of Long COVID patients screened positive for depression and/or anxiety, the latter of which was associated with younger age (OR = 0.96, 0.94-0.99). Factor analysis of 16 self-reported symptoms suggested five symptom clusters-gastrointestinal (GI), musculoskeletal (MSK), neurocognitive (NC), airway (AW), and cardiopulmonary (CP), with older age (β = 0.21, 0.11-0.30) and mixed race (β = 0.27, 0.04-0.51) being associated with greater MSK symptom burden. Greater NC symptom burden was associated with increased odds of depression (OR = 5.86, 2.71-13.8) and anxiety (OR = 2.83, 1.36-6.14).

These results can inform clinicians in identifying patients at increased risk for Long COVID-related medical issues, particularly neurocognitive symptoms and symptom clusters, as well as informing health systems to manage operational expectations on a population-health level.

Source: Goldhaber NH, Kohn JN, Ogan WS, Sitapati A, Longhurst CA, Wang A, Lee S, Hong S, Horton LE. Deep Dive into the Long Haul: Analysis of Symptom Clusters and Risk Factors for Post-Acute Sequelae of COVID-19 to Inform Clinical Care. Int J Environ Res Public Health. 2022 Dec 15;19(24):16841. doi: 10.3390/ijerph192416841. PMID: 36554723; PMCID: PMC9778884. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778884/ (Full text)

Association between long COVID symptoms and employment status

Abstract:

Background: Symptoms of Coronavirus-19 (COVID-19) infection persist beyond 2 months in a subset of individuals, a phenomenon referred to as long COVID, but little is known about its functional correlates and in particular the relevance of neurocognitive symptoms.

Method: We analyzed a previously-reported cohort derived from 8 waves of a nonprobability-sample internet survey called the COVID States Project, conducted every 4-8 weeks between February 2021 and July 2022. Primary analyses examined associations between long COVID and lack of full employment or unemployment, adjusted for age, sex, race and ethnicity, education, urbanicity, and region, using multiple logistic regression with interlocking survey weights.

Results: The cohort included 15,307 survey respondents ages 18-69 with test-confirmed COVID-19 at least 2 months prior, of whom 2,236 (14.6%) reported long COVID symptoms, including 1,027/2,236 (45.9%) reporting either ‘brain fog’ or impaired memory. Overall, 1,418/15,307 (9.3%) reported being unemployed, including 276/2,236 (12.3%) of those with long COVID and 1,142/13,071 (8.7%) of those without; 8,228 (53.8%) worked full-time, including 1,017 (45.5%) of those with long COVID and 7,211 (55.2%) without. In survey-weighted regression models, presence of long COVID was associated with being unemployed (crude OR 1.44, 95% CI 1.20-1.72; adjusted OR 1.23, 95% CI 1.02-1.48), and with lower likelihood of working full-time (crude OR 0.73, 95% CI 0.64-0.82; adjusted OR 0.79, 95% CI 0.70 -0.90). Among individuals with long COVID, the presence of cognitive symptoms — either brain fog or impaired memory — was associated with lower likelihood of working full time (crude OR 0.71, 95% CI 0.57-0.89, adjusted OR 0.77, 95% CI 0.61-0.97).

Conclusion: Long COVID was associated with a greater likelihood of unemployment and lesser likelihood of working full time in adjusted models. Presence of cognitive symptoms was associated with diminished likelihood of working full time. These results underscore the importance of developing strategies to respond to long COVID, and particularly the associated neurocognitive symptoms.

Source: Kristin Lunz TrujilloRoy H PerlisAlauna SafarpourMauricio SantillanaKatherine OgnyanovaJames DruckmanDavid Lazer. Association between long COVID symptoms and employment status.