Tag: long covid risk factors

Higher rates of long covid symptoms in patients with mild covid-19

Abstract:

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic has affected over 61 million U.S. citizens, and up to 30-80% of COVID-19 survivors may go on to develop post-acute sequelae of SARS-CoV-2 (PASC). These sequelae can be debilitating and often impair quality of life and daily function. Although it has been suggested that severity of acute COVID-19 infection is directly related to PASC development, this association remains unclear.

METHODS: This prospective cohort study was conducted through consecutive recruitment of confirmed and probable COVID-19 patients with persistent symptoms lasting ≥3 weeks from disease onset or positive SARS-CoV-2 test from academic PASC clinics at Emory University and Grady Memorial Hospital in Atlanta, GA during January-December 2021. Sociodemographic, comorbidity, and acute COVID-19 data were collected. Severe acute COVID- 19 was defined as requiring hospitalization, and critical acute COVID-19 required intensive care. New or worsening symptoms persisting ≥3 weeks from COVID-19 onset were collected using a standardized review of systems, and confirmed by clinician interview. Differences in PASC symptom type were assessed by calculating risk ratios (RR) and 95% confidence intervals (CI) using the Taylor series, and difference in PASC duration was assessed using student’s t-test. Two-tailed p-values ≤0.05 were considered significant.

RESULTS: Of 269 enrollees, median age was 52 years (range 18-93) and there were more women (74%) than men (26%). There were 152 (57%) African American, 76 (28%) White, and 21 (8%) Hispanic. Among PASC patients, the most common symptoms were dyspnea (68%), fatigue (63%), brain fog (48%), dizziness (27%), chest pain (25%), cough (23%) and headache (23%) with a median PASC duration of 132 days (range 21-523). Acute COVID-19 severity was asymptomatic in one participant, mild in 149 (55%), severe in 95 (35%), and critical in 23 (9%). Asymptomatic- mild acute COVID-19 patients had more persistent dyspnea (RR 1.33, 95%, CI 1.09- 1.61), fatigue (RR 1.53, 95%CI 1.22-1.91), brain fog (RR 2.00, 95%CI 1.44-2.67), dizziness (RR 2.03, 95%CI 1.27-3.25), and headache (RR 2.07, 95%CI 1.22-3.48) compared with severe-critical acute disease, who had a non-significant trend towards more cough and chest pain. Asymptomatic-mild participants were further from incident infection (153 days) compared to severe-critical participants (110 days) (p=0.04).

CONCLUSIONS: Contrary to previous observations, COVID-19 survivors who experienced asymptomatic-mild infections may develop higher rates of prevalent PASC symptoms compared to those with severe- critical antecedent infections. These findings are not attributable to PASC duration, as longer PASC duration has been previously associated with fewer symptoms. To ensure early identification and linkage to specialized care, clinicians should be aware of PASC in patients with antecedent asymptomatic-mild acute COVID-19 infections.

Source: Walker, T.; Truong, A.; Summers, A.; Dixit, A.; Goldstein, F.; Hajjar, I.; Echols, M.; Cook, S.; Lee, E.; Tekwani, S.; Carroll, K.; Sanz, I.; Lee, E. H.; Han, J. Higher rates of long covid symptoms in patients with mild covid-19. Journal of General Internal Medicine ; 37:S280, 2022. Article in English | EMBASE | ID: covidwho-1995854 https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1995854?lang=en

Differences in Long-COVID Symptoms between Vaccinated and Non-Vaccinated (BNT162b2 Vaccine) Hospitalized COVID-19 Survivors Infected with the Delta Variant

Abstract:

This study compared differences in the presence of post-COVID symptoms among vaccinated and non-vaccinated COVID-19 survivors requiring hospitalization due to the Delta (B.1.617.2) variant. This cohort study included hospitalized subjects who had survived SARS-CoV-2 infection (Delta variant) from July to August 2021 in an urban hospital in Madrid, Spain. Individuals were classified as vaccinated if they received full administration (i.e., two doses) of BNT162b2 (“Pfizer-BioNTech”) vaccines. Other vaccines were excluded. Those with just one dose of the BNT162b2 vaccine were considered as non-vaccinated.
Patients were scheduled for a telephone interview at a follow-up around six months after infection for assessing the presence of post-COVID symptoms with particular attention to those symptoms starting after acute infection and hospitalization. Anxiety/depressive levels and sleep quality were likely assessed. Hospitalization and clinical data were collected from medical records. A total comprising 109 vaccinated and 92 non-vaccinated COVID-19 survivors was included.
Vaccinated patients were older and presented a higher number of medical comorbidities, particular cardiorespiratory conditions, than non-vaccinated patients. No differences in COVID-19 onset symptoms at hospitalization and post-COVID symptoms six months after hospital discharge were found between vaccinated and non-vaccinated groups. No specific risk factor for any post-COVID symptom was identified in either group.
This study observed that COVID-19 onset-associated symptoms and post-COVID symptoms six-months after hospitalization were similar between previously hospitalized COVID-19 survivors vaccinated and those non-vaccinated. Current data can be applied to the Delta variant and those vaccinated with BNT162b2 (Pfizer-BioNTech) vaccine.
Source: Fernández-de-las-Peñas C, Ortega-Santiago R, Fuensalida-Novo S, Martín-Guerrero JD, Pellicer-Valero OJ, Torres-Macho J. Differences in Long-COVID Symptoms between Vaccinated and Non-Vaccinated (BNT162b2 Vaccine) Hospitalized COVID-19 Survivors Infected with the Delta Variant. Vaccines. 2022; 10(9):1481. https://doi.org/10.3390/vaccines10091481 https://www.mdpi.com/2076-393X/10/9/1481/htm (Full text)

Risk of Long Covid in people infected with SARS-CoV-2 after two doses of a COVID-19 vaccine: community-based, matched cohort study

Abstract:

We investigated Long Covid incidence by vaccination status in a random sample of UK adults from April 2020 to November 2021. Persistent symptoms were reported by 9.5% of 3,090 breakthrough SARS-CoV-2 infections and 14.6% of unvaccinated controls (adjusted odds ratio 0.59, 95% CI: 0.50-0.69), emphasising the need for public health initiatives to increase population-level vaccine uptake.

Source: Daniel Ayoubkhani, Matthew L Bosworth, Sasha King, Koen B Pouwels, Myer Glickman, Vahé Nafilyan, Francesco Zaccardi, Kamlesh Khunti, Nisreen A Alwan, A Sarah Walker, Risk of Long Covid in people infected with SARS-CoV-2 after two doses of a COVID-19 vaccine: community-based, matched cohort study, Open Forum Infectious Diseases, 2022;, ofac464, https://doi.org/10.1093/ofid/ofac464 (Full text available as PDF file)

Predictors of Long COVID in Patients without Comorbidities: Data from the Polish Long-COVID Cardiovascular (PoLoCOV-CVD) Study

Abstract:

Background: The SARS-CoV-2 pandemic has become an enormous worldwide challenge over the last two years. However, little is still known about the risk of Long COVID (LC) in patients without comorbidities. Thus, we aimed to assess the predictors of LC in patients without comorbidities.

Methods: Patients’ information, the course of the disease with symptoms, and post-COVID-19 complaints were collected within 4-12 weeks after COVID-19 recovery. Next, the patients were followed for at least 3 months. ECG, 24-h ECG monitoring, 24-h blood pressure (BP) monitoring, echocardiography, and selected biochemical tests were performed. LC was recognized based on the WHO definition.

Results: We identified 701 consecutive patients, 488 of whom completed a 3-month follow-up (63% women). Comparisons were made between the LC group (n = 218) and patients without any symptoms after SARS-CoV-2 recovery (non-LC group) (n = 270). Patients with a severe course of acute-phase COVID-19 developed LC complications more often (34% vs. 19%, p < 0.0001). The persistent symptoms were observed in 45% of LC patients. The LC group also had significantly more symptoms during the acute phase of COVID-19, and they suffered significantly more often from dyspnoea (48 vs. 33%), fatigue (72 vs. 63%), chest pain (50 vs. 36%), leg muscle pain (41 vs. 32%), headache (66 vs. 52%), arthralgia (44 vs. 25%), and chills (34 vs. 25%). In LC patients, significant differences regarding sex and body mass index were observed-woman: 69% vs. 56% (p = 0.003), and BMI: 28 [24-31] vs. 26 kg/m2 [23-30] (p < 0.001), respectively. The number of symptoms in the acute phase was significantly greater in the LC group than in the control group (5 [2-8] vs. 2 [1-5], p = 0.0001). The LC group also had a higher 24-h heart rate (77 [72-83] vs. 75 [70-81], p = 0.021) at admission to the outpatient clinic. Multivariate regression analysis showed that LC patients had a higher BMI (odds ratio (OR): 1.06, 95% confidence intervals [CI]: 1.02-1.10, p = 0.007), almost twice as often had a severe course of COVID-19 (OR: 1.74, CI: 1.07-2.81, p = 0.025), and presented with joint pain in the acute phase (OR: 1.90, CI: 1.23-2.95, p = 0.004).

Conclusions: A severe course of COVID-19, BMI, and arthralgia are independently associated with the risk of Long COVID in healthy individuals.

Source: Chudzik M, Lewek J, Kapusta J, Banach M, Jankowski P, Bielecka-Dabrowa A. Predictors of Long COVID in Patients without Comorbidities: Data from the Polish Long-COVID Cardiovascular (PoLoCOV-CVD) Study. J Clin Med. 2022 Aug 25;11(17):4980. doi: 10.3390/jcm11174980. PMID: 36078910. https://www.mdpi.com/2077-0383/11/17/4980/htm (Full text)

The prevalence of SARS-CoV-2 infection and long COVID in US adults during the BA.5 surge, June-July 2022

Abstract:

Due to changes in SARS-CoV-2 testing practices, passive case-based surveillance may be an increasingly unreliable indicator for monitoring the burden of SARS-CoV-2, especially during surges. We conducted a cross-sectional survey of a population-representative sample of 3,042 U.S. adults between June 30 and July 2, 2022, during the Omicron BA.5 surge. Respondents were asked about SARS-CoV-2 testing and outcomes, COVID-like symptoms, contact with cases, and experience with prolonged COVID-19 symptoms following prior infection.

We estimated the weighted age and sex-standardized SARS-CoV-2 prevalence, during the 14-day period preceding the interview. We estimated age and gender adjusted prevalence ratios (aPR) for current SARS-CoV-2 infection using a log-binomial regression model.

An estimated 17.3% (95% CI 14.9, 19.8) of respondents had SARS-CoV-2 infection during the two-week study period, equating to 44 million cases as compared to 1.8 million per the CDC during the same time period. SARS-CoV-2 prevalence was higher among those 18-24 years old (aPR 2.2, 95% CI 1.8, 2.7) and among non-Hispanic Black (aPR 1.7, 95% CI 1.4 ,2.2) and Hispanic (aPR 2.4, 95% CI 2.0 , 2.9). SARS-CoV-2 prevalence was also higher among those with lower income (aPR 1.9, 95% CI 1.5, 2.3), lower education (aPR 3.7 95% CI 3.0,4.7), and those with comorbidities (aPR 1.6, 95% CI 1.4, 2.0). An estimated 21.5% (95% CI 18.2, 24.7) of respondents with a SARS-CoV-2 infection more than 4 weeks prior reported long COVID symptoms.

The inequitable distribution of SARS-CoV-2 prevalence during the BA.5 surge will likely drive inequities in the future burden of long COVID.

Source: Saba Qasmieh, McKaylee Robertson, Chloe A Teasdale, Sarah Kulkarni, Heidi E Jones, Margaret McNairy, Luisa N Borrell, Denis Nash. The prevalence of SARS-CoV-2 infection and long COVID in US adults during the BA.5 surge, June-July 2022. medRxiv 2022.09.04.22279588; doi: https://doi.org/10.1101/2022.09.04.22279588 (Full text available as PDF file)

Long-COVID Clinical Features and Risk Factors: A Retrospective Analysis of Patients from the STOP-COVID Registry of the PoLoCOV Study

Abstract:

Despite recovering from the acute phase of coronavirus disease (COVID-19), many patients report continuing symptoms that most commonly include fatigue, cough, neurologic problems, hair loss, headache, and musculoskeletal pain, a condition termed long-COVID syndrome. Neither its etiopathogenesis, nor its clinical presentation or risk factors are fully understood. Therefore, the purpose of this study was to retrospectively evaluate the most common symptoms of long-COVID among patients from the STOP COVID registry of the PoLoCOV study, and to search for risk factors for development of the syndrome.

The registry includes patients who presented to the medical center for persistent clinical symptoms following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The analysis included data from initial presentation and at three-month follow-up. Of the 2218 patients, 1569 (70.7%) reported having at least one symptom classified as long-COVID syndrome three months after recovery from the initial SARS-CoV-2 infection. The most common symptoms included chronic fatigue (35.6%\), cough (23.0%), and a set of neurological symptoms referred to as brain fog (12.1%).

Risk factors for developing long-COVID syndrome included female gender (odds ratio [OR]: 1.48, 95% confidence intervals [CI] [1.19-1.84]), severe COVID-19 (OR: 1.56, CI: 1.00-2.42), dyspnea (OR: 1.31, CI: 1.02-1.69), and chest pain (OR: 1.48, CI: 1.14-1.92). Long-COVID syndrome represents a significant clinical and social problem. The most common clinical manifestations are chronic fatigue, cough, and brain fog. Given the still-limited knowledge of long-COVID syndrome, further research and observation are needed to better understand the mechanisms and risk factors of the disease.

Source: Chudzik M, Babicki M, Kapusta J, Kałuzińska-Kołat Ż, Kołat D, Jankowski P, Mastalerz-Migas A. Long-COVID Clinical Features and Risk Factors: A Retrospective Analysis of Patients from the STOP-COVID Registry of the PoLoCOV Study. Viruses. 2022 Aug 11;14(8):1755. doi: 10.3390/v14081755. PMID: 36016376; PMCID: PMC9415629. https://www.mdpi.com/1999-4915/14/8/1755/htm (Full text)

Lowered Quality of Life in Long COVID Is Predicted by Affective Symptoms, Chronic Fatigue Syndrome, Inflammation and Neuroimmunotoxic Pathways

Abstract:

The physio-affective phenome of Long COVID-19 is predicted by (a) immune-inflammatory biomarkers of the acute infectious phase, including peak body temperature (PBT) and oxygen saturation (SpO2), and (b) the subsequent activation of immune and oxidative stress pathways during Long COVID. The purpose of this study was to delineate the effects of PBT and SpO2 during acute infection, as well as the increased neurotoxicity on the physical, psychological, social and environmental domains of health-related quality of life (HR-QoL) in people with Long COVID.

We recruited 86 participants with Long COVID and 39 normal controls, assessed the WHO-QoL-BREF (World Health Organization Quality of Life Instrument-Abridged Version, Geneva, Switzerland) and the physio-affective phenome of Long COVID (comprising depression, anxiety and fibromyalgia-fatigue rating scales) and measured PBT and SpO2 during acute infection, and neurotoxicity (NT, comprising serum interleukin (IL)-1β, IL-18 and caspase-1, advanced oxidation protein products and myeloperoxidase, calcium and insulin resistance) in Long COVID.

We found that 70.3% of the variance in HR-QoL was explained by the regression on the physio-affective phenome, lowered calcium and increased NT, whilst 61.5% of the variance in the physio-affective phenome was explained by calcium, NT, increased PBT, lowered SpO2, female sex and vaccination with AstraZeneca and Pfizer. The effects of PBT and SpO2 on lowered HR-QoL were mediated by increased NT and lowered calcium yielding increased severity of the physio-affective phenome which largely affects HR-QoL.

In conclusion, lowered HR-Qol in Long COVID is largely predicted by the severity of neuro-immune and neuro-oxidative pathways during acute and Long COVID.

Source: Maes M, Al-Rubaye HT, Almulla AF, Al-Hadrawi DS, Stoyanova K, Kubera M, Al-Hakeim HK. Lowered Quality of Life in Long COVID Is Predicted by Affective Symptoms, Chronic Fatigue Syndrome, Inflammation and Neuroimmunotoxic Pathways. Int J Environ Res Public Health. 2022 Aug 19;19(16):10362. doi: 10.3390/ijerph191610362. PMID: 36011997. https://www.mdpi.com/1660-4601/19/16/10362/htm (Full text)

Musculoskeletal symptoms in patients with Long COVID: A cross-sectional study on Iranian patients

Abstract:

Background and objectives: Latest studies have revealed that an increasing number of Corona Virus Disease of 2019 (COVID-19) patients may continue to feel symptoms after the acute phase. This study aimed to evaluate the prevalence of musculoskeletal symptoms after the acute phase of COVID-19 and its associated factors.

Methods: We designed a cross-sectional study from January 2021 to April 2021. An online questionnaire was designed and sent to patients who had recovered from COVID-19. The questionnaire contained questions on participants’ demographic characteristics, COVID-19 course at its acute phase, and musculoskeletal symptoms after recovering from COVID-19. Musculoskeletal symptoms associations with patients’ characteristic and COVID-19 course was evaluated.

Result: 239 patients, including 72 (30.1%) males and 167 (69.9%) females with a mean age of 37.96 years (SD=11.19), were included in the study. 98.74% of our patients had experienced at least one musculoskeletal symptom after recovering from COVID-19, and the most common symptom was fatigue, as 91.2% of participants experienced this symptom, followed by myalgia, headache, and low back pain. High BMI, hospitalization, and ICU admission were associated with a higher risk of musculoskeletal symptoms.

Conclusion: This study indicated a high prevalence of persistent musculoskeletal symptoms among patients who recovered from COVID-19. Modifiable factors, such as BMI, can be targeted to reduce the prevalence of musculoskeletal symptoms in COVID-19 survivors and reduce its burden.

Source: Azadvari M, Haghparast A, Nakhostin-Ansari A, Emami Razavi SZ, Hosseini M. Musculoskeletal symptoms in patients with Long COVID: A cross-sectional study on Iranian patients. Heliyon. 2022 Aug 11:e10148. doi: 10.1016/j.heliyon.2022.e10148. Epub ahead of print. PMID: 35971463; PMCID: PMC9367176. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367176/ (Full text)

Symptom burden and immune dynamics 6 to 18 months following mild SARS-CoV-2 infection -a case-control study

Abstract:

Background: The burden and duration of persistent symptoms after non-severe COVID-19 remains uncertain. This study aimed to assess post-infection symptom trajectories in home-isolated COVID-19 cases compared to age- and time-period matched seronegative controls, and investigate immunological correlates of long COVID.

Methods: A prospective case-control study conducted between February 28th and April 4th 2020 included home-isolated COVID-19 cases followed for 12 (n = 233) to 18 (n = 149) months, and 189 age-matched SARS-CoV-2 naive controls. We collected clinical data at baseline, 6, 12 and 18 months post-infection, and blood samples at 2, 4, 6 and 12 months for analysis of SARS-CoV-2 specific humoral and cellular responses.

Results: Overall, 46% (108/233) had persisting symptoms 12 months after COVID-19. Compared to controls, adult cases had a high risk of fatigue (27% excess risk, gender and comorbidity adjusted odds ratio [aOR] 5.86, 95% confidence interval [CI]3.27-10.5), memory problems (21% excess risk, aOR 7.42, CI 3.51-15.67), concentration problems (20% excess risk, aOR 8.88, CI 3.88-20.35), and dyspnea (10% excess risk, aOR 2.66, CI 1.22-5.79). The prevalence of memory problems increased overall from 6 to 18 months (excess risk 11.5%, CI 1.5, 21.5, p = 0.024) and among women (excess risk 18.7%, CI 4.4, 32.9, p = 0.010). Longitudinal spike IgG was significantly associated with dyspnea at 12 months. The spike-specific clonal CD4 + TCRβ depth was significantly associated with both dyspnea and number of symptoms at 12 months.

Conclusions: This study documents a high burden of persisting symptoms after mild COVID-19, and suggest that infection induced SARS-CoV-2 specific immune responses may influence long-term symptoms.

Source: Fjelltveit EB, Blomberg B, Kuwelker K, Zhou F, Onyango TB, Brokstad KA, Elyanow R, Kaplan IM, Tøndel C, Mohn KGI, Özgümüş T, Cox RJ, Langeland N; Bergen COVID-19 Research Group. Symptom burden and immune dynamics 6 to 18 months following mild SARS-CoV-2 infection -a case-control study. Clin Infect Dis. 2022 Aug 12:ciac655. doi: 10.1093/cid/ciac655. Epub ahead of print. PMID: 35959897; PMCID: PMC9384725. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9384725/ (Full text)

Neurological and psychiatric risk trajectories after SARS-CoV-2 infection: an analysis of 2-year retrospective cohort studies including 1 284 437 patients

Summary:

Background: COVID-19 is associated with increased risks of neurological and psychiatric sequelae in the weeks and months thereafter. How long these risks remain, whether they affect children and adults similarly, and whether SARS-CoV-2 variants differ in their risk profiles remains unclear.

Methods: In this analysis of 2-year retrospective cohort studies, we extracted data from the TriNetX electronic health records network, an international network of de-identified data from health-care records of approximately 89 million patients collected from hospital, primary care, and specialist providers (mostly from the USA, but also from Australia, the UK, Spain, Bulgaria, India, Malaysia, and Taiwan). A cohort of patients of any age with COVID-19 diagnosed between Jan 20, 2020, and April 13, 2022, was identified and propensity-score matched (1:1) to a contemporaneous cohort of patients with any other respiratory infection. Matching was done on the basis of demographic factors, risk factors for COVID-19 and severe COVID-19 illness, and vaccination status. Analyses were stratified by age group (age <18 years [children], 18–64 years [adults], and ≥65 years [older adults]) and date of diagnosis. We assessed the risks of 14 neurological and psychiatric diagnoses after SARS-CoV-2 infection and compared these risks with the matched comparator cohort. The 2-year risk trajectories were represented by time-varying hazard ratios (HRs) and summarised using the 6-month constant HRs (representing the risks in the earlier phase of follow-up, which have not yet been well characterised in children), the risk horizon for each outcome (ie, the time at which the HR returns to 1), and the time to equal incidence in the two cohorts. We also estimated how many people died after a neurological or psychiatric diagnosis during follow-up in each age group. Finally, we compared matched cohorts of patients diagnosed with COVID-19 directly before and after the emergence of the alpha (B.1.1.7), delta (B.1.617.2), and omicron (B.1.1.529) variants.

Findings: We identified 1 487 712 patients with a recorded diagnosis of COVID-19 during the study period, of whom 1 284 437 (185 748 children, 856 588 adults, and 242 101 older adults; overall mean age 42·5 years [SD 21·9]; 741 806 [57·8%] were female and 542 192 [42·2%] were male) were adequately matched with an equal number of patients with another respiratory infection. The risk trajectories of outcomes after SARS-CoV-2 infection in the whole cohort differed substantially. While most outcomes had HRs significantly greater than 1 after 6 months (with the exception of encephalitis; Guillain-Barré syndrome; nerve, nerve root, and plexus disorder; and parkinsonism), their risk horizons and time to equal incidence varied greatly. Risks of the common psychiatric disorders returned to baseline after 1–2 months (mood disorders at 43 days, anxiety disorders at 58 days) and subsequently reached an equal overall incidence to the matched comparison group (mood disorders at 457 days, anxiety disorders at 417 days).

By contrast, risks of cognitive deficit (known as brain fog), dementia, psychotic disorders, and epilepsy or seizures were still increased at the end of the 2-year follow-up period. Post-COVID-19 risk trajectories differed in children compared with adults: in the 6 months after SARS-CoV-2 infection, children were not at an increased risk of mood (HR 1·02 [95% CI 0·94–1·10) or anxiety (1·00 [0·94–1·06]) disorders, but did have an increased risk of cognitive deficit, insomnia, intracranial haemorrhage, ischaemic stroke, nerve, nerve root, and plexus disorders, psychotic disorders, and epilepsy or seizures (HRs ranging from 1·20 [1·09–1·33] to 2·16 [1·46–3·19]). Unlike adults, cognitive deficit in children had a finite risk horizon (75 days) and a finite time to equal incidence (491 days).

A sizeable proportion of older adults who received a neurological or psychiatric diagnosis, in either cohort, subsequently died, especially those diagnosed with dementia or epilepsy or seizures. Risk profiles were similar just before versus just after the emergence of the alpha variant (n=47 675 in each cohort). Just after (vs just before) the emergence of the delta variant (n=44 835 in each cohort), increased risks of ischaemic stroke, epilepsy or seizures, cognitive deficit, insomnia, and anxiety disorders were observed, compounded by an increased death rate. With omicron (n=39 845 in each cohort), there was a lower death rate than just before emergence of the variant, but the risks of neurological and psychiatric outcomes remained similar.

Interpretation: This analysis of 2-year retrospective cohort studies of individuals diagnosed with COVID-19 showed that the increased incidence of mood and anxiety disorders was transient, with no overall excess of these diagnoses compared with other respiratory infections. In contrast, the increased risk of psychotic disorder, cognitive deficit, dementia, and epilepsy or seizures persisted throughout. The differing trajectories suggest a different pathogenesis for these outcomes. Children have a more benign overall profile of psychiatric risk than do adults and older adults, but their sustained higher risk of some diagnoses is of concern. The fact that neurological and psychiatric outcomes were similar during the delta and omicron waves indicates that the burden on the health-care system might continue even with variants that are less severe in other respects. Our findings are relevant to understanding individual-level and population-level risks of neurological and psychiatric disorders after SARS-CoV-2 infection and can help inform our responses to them.

Source: Maxime Taquet, PhD, Rebecca Sillett, BA, Lena Zhu, BS, Jacob Mendel, MMath, Isabella Camplisson, BS, Quentin Dercon, MSc, et al. Open Access Published: August 17, 2022 DOI: https://doi.org/10.1016/S2215-0366(22)00260-7 https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(22)00260-7/fulltext# (Full text)