Risk factors for psychiatric symptoms in patients with long COVID: A systematic review

Abstract:

Prolonged symptoms of COVID-19 have been found in many patients, often known as Long COVID. Psychiatric symptoms are commonly seen in Long COVID patients and could last for weeks, even months, after recovery. However, the symptoms and risk factors associated with it remain unclear.

In the current systematic review, we provide an overview of psychiatric symptoms in Long COVID patients and risk factors associated with the development of those symptoms. Articles were systematically searched on SCOPUS, PubMed, and EMBASE up to October 2021. Studies involving adults and geriatric participants with a confirmed previous COVID-19 diagnosis and reported psychiatric symptoms that persist for more than four weeks after the initial infection were included. The risk of bias was assessed using the Newcastle-Ottawa Scale (NOS) for observational studies. Prevalence rates and risk factors associated with psychiatric symptoms were collected. This present study was registered at PROSPERO (CRD42021240776). In total, 23 studies were included.

Several limitations in this review were the heterogeneity of studies’ outcomes and designs, studies limited to articles published in English, and the psychiatric symptoms mainly were assessed using self-report questionnaires. The most prevalent  reported psychiatric symptoms, from the most to the least reported, were anxiety, depression, post-traumatic stress disorder (PTSD), poor sleep qualities, somatic symptoms, and cognitive deficits. Being female and having previous psychiatric diagnoses were risk factors for the development of the reported symptoms.

Source: Zakia H, Pradana K, Iskandar S. Risk factors for psychiatric symptoms in patients with long COVID: A systematic review. PLoS One. 2023 Apr 7;18(4):e0284075. doi: 10.1371/journal.pone.0284075. PMID: 37027455; PMCID: PMC10081737. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081737/ (Full text)

Association of Laparoscopically-confirmed Endometriosis with Long COVID: A Prospective Cohort Study

Abstract:

Background: Women are at greater risk than men of developing chronic inflammatory conditions and of developing ‘long COVID.’ However, few gynecologic health risk factors for long COVID have been identified. Endometriosis is a common gynecological disorder associated with chronic inflammation, immune dysregulation, and comorbid presentation with autoimmune and clotting disorders, all of which are pathophysiologic mechanisms proposed for long COVID. Therefore, we hypothesized that women with a history of endometriosis may be at greater risk of developing long COVID.

Objective: To investigate the association between history of endometriosis prior to SARS-CoV-2 infection and risk of long COVID.

Methods: We followed 46,579 women from two ongoing prospective cohort studies: the Nurses’ Health Study II and the Nurses’ Health Study 3, who participated in a series of COVID-19-related surveys administered from April 2020 to November 2022. Laparoscopic diagnosis of endometriosis was documented prospectively in main cohort questionnaires prior to the pandemic (1993-2020) with high validity. SARS-CoV-2 infection (confirmed by antigen, PCR, or antibody test) and CDC-defined long-term COVID-19 symptoms (≥4 weeks) were self-reported during follow-up. Among individuals with SARS-CoV-2 infection, we fit Poisson regression models to assess the associations between endometriosis and risk of long COVID-19 symptoms, with adjustment for potential confounding variables (demographics, body mass index, smoking status, history of infertility, and history of chronic diseases).

Results: Among 3650 women in our sample with self-reported SARS-CoV-2 infections during follow-up, 386 (10.6%) had a history of endometriosis with laparoscopic confirmation and 1598 (43.8%) reported experiencing long COVID symptoms. The majority of women were Non-Hispanic White (95.4%), with a median age of 59 years (interquartile range=44-65). Women with a history of laparoscopically-confirmed endometriosis had a 22% greater risk of developing long COVID (adjusted RR=1.22, 95% CI=1.05-1.42), compared to those who had never been diagnosed with endometriosis. The association was stronger when we defined long COVID as having symptoms ≥8 weeks (RR=1.28, 95% CI=1.09-1.50). We observed no statistically significant differences in the relationship between endometriosis and long COVID by age, infertility history, or comorbidity with uterine fibroids, although there was a suggestive trend that women <50 years may be at higher risk (<50 years, RR=1.37, 95% CI=1.00-1.88; ≥50 years, RR=1.19, 95% CI=1.01-1.41). Among persons who developed long COVID, women with endometriosis reported on average one additional long-term symptom compared to women without endometriosis.

Conclusions and relevance: Our findings suggest that those with a history of endometriosis may be at modestly increased risk for long COVID. Health care providers should be aware of endometriosis history when treating patients for signs of persisting symptoms post-SARS-CoV-2 infection. Future studies should investigate the potential biological pathways underlying these associations.

Source: Wang S, Farland LV, Gaskins AJ, Mortazavi J, Wang YX, Tamimi RM, Rich-Edwards JW, Zhang D, Terry KL, Chavarro JE, Missmer SA. Association of Laparoscopically-confirmed Endometriosis with Long COVID: A Prospective Cohort Study. Am J Obstet Gynecol. 2023 Mar 25:S0002-9378(23)00177-1. doi: 10.1016/j.ajog.2023.03.030. Epub ahead of print. PMID: 36972892. https://pubmed.ncbi.nlm.nih.gov/36972892/ https://www.ajog.org/article/S0002-9378(23)00177-1/pdf (Full text available as PDF file)

A prospective cohort study assessing the relationship between long-COVID symptom incidence in COVID-19 patients and COVID-19 vaccination

Abstract:

Current studies about the long-term effects of COVID-19 show a wide range of symptoms. This prospective cohort study aimed to find the incidence of long-COVID symptoms and the associated risk factors.

We followed 669 confirmed COVID-19 patients. Sociodemographic and clinical data were extracted from medical records and collected via semi-structured telephone interviews on days 10, 30, 60, and 90. The incidence of long-COVID symptoms was 41.6% (95% CI 37.8-45.4%). Females [aOR = 1.5 (95% CI 1.1-2.3)], the elderly [aOR = 4.9 (95% CI 2.0-11.3)], and those who required hospitalization [aOR = 5.0 (95% CI 1.3-3.7)] were at a higher risk of developing long-COVID. Patients with dyspnea at day 10 [aOR: 2.4 (95% CI 1.6-3.7] and fatigue at day 60 [aOR: 3.1 (95% CI 1.5-6.3] were also at risk. While non-vaccinated patients were almost seven times more likely to report long-COVID symptoms than vaccinated patients [aOR: 6.9 (95% CI 4.2-11.3)].

In conclusion, long-COVID was common among COVID-19 patients, with higher rates among females, older age groups, hospitalized patients, and those with dyspnea and fatigue, while vaccination provided protection. Interventions should educate health professionals, raise general public awareness about the risks and consequences of Long COVID, and the value of vaccination.

Source: Abu Hamdh B, Nazzal Z. A prospective cohort study assessing the relationship between long-COVID symptom incidence in COVID-19 patients and COVID-19 vaccination. Sci Rep. 2023 Mar 25;13(1):4896. doi: 10.1038/s41598-023-30583-2. PMID: 36966161; PMCID: PMC10039348. https://www.nature.com/articles/s41598-023-30583-2 (Full text)

What is the impact of post-COVID-19 syndrome on health-related quality of life and associated factors: a cross-sectional analysis

Abstract:

Background: After the acute phase, symptoms or sequelae related to post-COVID-19 syndrome may persist for months. In a population of patients, previously hospitalized and not, followed up to 12 months after the acute infection, we aim to assess whether and to what extent post-COVID-19 syndrome may have an impact on health-related quality of life (HRQoL) and to investigate influencing factors.

Methods: We present the cross-sectional analysis of a prospective study, including patients referred to the post-COVID-19 service. Questionnaires and scales administered at 3, 6, 12 months were: Short-Form 36-item questionnaire (SF-36); Visual Analogue Scale of the EQ5D (EQ-VAS); in a subgroup, Beck Anxiety Inventory (BAI), Beck Depression Inventory (BDI-II) and Pittsburgh Sleep Quality Index (PSQI). Linear regression models were fitted to identify factors associated with HRQoL.

Results: We considered the first assessment of each participant (n = 572). The mean scores in SF-36 and in EQ-VAS were significantly lower than the Italian normative values and remained stable over time, except the mental components score (MCS) of the SF-36 and EQ-VAS which resulted in lower ratings at the last observations. Female gender, presence of comorbidities, and corticosteroids treatment during acute COVID-19, were associated with lower scores in SF-36 and EQ-VAS; patients previously hospitalized (54%) reported higher MCS. Alterations in BAI, BDI-II, and PSQI (n = 265)were associated with lower ratings in SF-36 and EQ-VAS.

Conclusions: This study provides evidence of a significantly bad perception of health status among persons with post-COVID-19 syndrome, associated with female gender and, indirectly, with disease severity. In case of anxious-depressive symptoms and sleep disorders, a worse HRQoL was also reported. A systematic monitoring of these aspects is recommended to properly manage the post-COVID-19 period.

Source: Mastrorosa I, Del Duca G, Pinnetti C, Lorenzini P, Vergori A, Brita AC, Camici M, Mazzotta V, Baldini F, Chinello P, Mencarini P, Giancola ML, Abdeddaim A, Girardi E, Vaia F, Antinori A. What is the impact of post-COVID-19 syndrome on health-related quality of life and associated factors: a cross-sectional analysis. Health Qual Life Outcomes. 2023 Mar 22;21(1):28. doi: 10.1186/s12955-023-02107-z. PMID: 36949439; PMCID: PMC10031164. https://hqlo.biomedcentral.com/articles/10.1186/s12955-023-02107-z (Full text)

Demographic And Clinical Factors Associated With Long COVID

Risk factors for postacute sequelae of SARS-CoV-2 infection (“long COVID”) in community-dwelling populations remain poorly understood. Large-scale data, follow-up, comparison groups, and a consensus definition of long COVID are often lacking. Using data from the OptumLabs Data Warehouse on a nationwide sample of commercial and Medicare Advantage enrollees from the period January 2019 through March 2022, we examined demographic and clinical factors associated with long COVID, using two definitions of people who suffer symptoms long after they were first diagnosed with COVID-19 (“long haulers”).

We identified 8,329 long haulers using the narrow definition (diagnosis code), 207,537 long haulers using the broad definition (symptom based), and 600,161 non–long haulers (comparison group).

On average, long haulers were older and more likely female, with more comorbidities. Among narrow-definition long haulers, the leading risk factors for long COVID included hypertension, chronic lung disease, obesity, diabetes, and depression. Their time between initial COVID-19 diagnosis and diagnosis of long COVID averaged 250 days, with racial and ethnic differences. Broad-definition long haulers exhibited similar risk factors. Distinguishing long COVID from the progression of underlying conditions can be challenging, but further study may advance the evidence base related to the identification, causes, and consequences of long COVID.

Source: Song Z, Giuriato M. Demographic And Clinical Factors Associated With Long COVID. Health Aff (Millwood). 2023 Mar;42(3):433-442. doi: 10.1377/hlthaff.2022.00991. PMID: 36877912. https://pubmed.ncbi.nlm.nih.gov/36877912/

Epidemiology of post-COVID conditions beyond 1 year: a cross-sectional study

Abstract:

Objective: The aim of this study was to investigate the epidemiology of post-COVID conditions beyond 12 months and identify factors associated with the persistence of each condition.

Study design: This was a cross-sectional questionnaire-based survey.

Methods: We conducted the survey among patients who had recovered from COVID-19 and visited our institute between February 2020 and November 2021. Demographic and clinical data and data regarding the presence and duration of post-COVID conditions were obtained. We identified factors associated with the persistence of post-COVID conditions using multivariable linear regression analyses.

Results: Of 1148 surveyed patients, 502 completed the survey (response rate, 43.7%). Of these, 393 patients (86.4%) had mild disease in the acute phase. The proportion of participants with at least one symptom at 6, 12, 18, and 24 months after symptom onset or COVID-19 diagnosis was 32.3% (124/384), 30.5% (71/233), 25.8% (24/93), and 33.3% (2/6), respectively. The observed associations were as follows: fatigue persistence with moderate or severe COVID-19 (β = 0.53, 95% confidence interval [CI] = 0.06-0.99); shortness of breath with moderate or severe COVID-19 (β = 1.39, 95% CI = 0.91-1.87); cough with moderate or severe COVID-19 (β = 0.84, 95% CI = 0.40-1.29); dysosmia with being female (β = -0.57, 95% CI = -0.97 to -0.18) and absence of underlying medical conditions (β = -0.43, 95% CI = -0.82 to -0.05); hair loss with being female (β = -0.61, 95% CI = -1.00 to -0.22), absence of underlying medical conditions (β = -0.42, 95% CI = -0.80 to 0.04), and moderate or severe COVID-19 (β = 0.97, 95% CI = 0.41-1.54); depressed mood with younger age (β = -0.02, 95% CI = -0.04 to -0.004); and loss of concentration with being female (β = -0.51, 95% CI = -0.94 to -0.09).

Conclusions: More than one-fourth of patients after recovery from COVID-19, most of whom had had mild disease in the acute phase, had at least one symptom at 6, 12, 18, and 24 months after onset of COVID-19, indicating that not a few patients with COVID-19 suffer from long-term residual symptoms, even in mild cases.

Source: Morioka S, Tsuzuki S, Maruki T, Terada M, Miyazato Y, Kutsuna S, Saito S, Shimanishi Y, Takahashi K, Sanada M, Ashida S, Akashi M, Kuge C, Osanai Y, Tanaka K, Suzuki M, Hayakawa K, Ohmagari N. Epidemiology of post-COVID conditions beyond 1 year: a cross-sectional study. Public Health. 2023 Feb 13;216:39-44. doi: 10.1016/j.puhe.2023.01.008. Epub ahead of print. PMID: 36791649. https://www.sciencedirect.com/science/article/pii/S0033350623000173?via%3Dihub (Full text)

Long COVID-19 Syndrome Severity According to Sex, Time from the Onset of the Disease, and Exercise Capacity-The Results of a Cross-Sectional Study

Abstract:

Symptoms of long COVID-19 syndrome (long COVID-19) are reported by 80% of convalescents up to several months after contracting the coronavirus-19 disease (COVID-19). The study aimed to assess the frequency and correlations of long COVID symptoms with sex, disease severity, time since the onset of the disease, and exercise capacity in a population of Polish convalescents hospitalized as a part of a rehabilitation program after COVID-19.

The retrospective analysis was carried out based on medical records concerning reported symptoms, comorbidities, exercise capacity, fatigue and dyspnea on Borg’s scale, arterial oxygen saturation (SpO2), spirometric parameters, chest X-rays/computed tomography scans, systolic pulmonary artery pressure, and left ventricular ejection fraction. The study involved 471 patients aged 63.83 ± 9.93 years who had been hospitalized 191.32 ± 75.69 days from the onset of COVID-19, of which 269 (57.1%) were women. The most common symptoms were fatigue (99.57%), dyspnea (99.36%), and myalgia (97.03%). Women reported more symptoms than men (p < 0.001) and rated their fatigue as more severe (p = 0.021). Patients with depressed moods reported more physical symptoms than others (p < 0.001).

Most long COVID symptoms, including dyspnea, fatigue, and depressive symptoms, were found with the same frequency in patients 12-24 weeks and >24 weeks after recovery (p = 0.874, p = 0.400, and p = 0.320, respectively), regardless of acute COVID-19 severity (p = 0.240, p = 0.826, and p = 0.108, respectively). Dyspnea severity correlated with forced vital capacity (FVC) (r = -0.153, p = 0.005), and forced expiratory volume in one second (FEV1) (r = -0.142, p = 0.008). Fatigue severity correlated with impaired FVC and FEV1 (both r = -0.162, p = 0.003). Fatigue and dyspnea inversely correlated with the distance in a six-minute walk test (r = -0.497, p < 0.001, and r = -0.327, p < 0.001).

In conclusion, in our cohort, long COVID symptoms are more common in women. Dyspnea/fatigue and depressive symptoms do not tend to subside after an average six-month recovery period. The intensity of perceived fatigue may be exaggerated by the coexistence of neuropsychiatric disorders. Increased fatigue and dyspnea correlate with impaired spirometric parameters and significantly affects convalescents’ exercise capacity.

Source: Paradowska-Nowakowska E, Łoboda D, Gołba KS, Sarecka-Hujar B. Long COVID-19 Syndrome Severity According to Sex, Time from the Onset of the Disease, and Exercise Capacity-The Results of a Cross-Sectional Study. Life (Basel). 2023 Feb 11;13(2):508. doi: 10.3390/life13020508. PMID: 36836865; PMCID: PMC9961608. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961608/ (Full text)

Racial, ethnic, and sex disparities in the incidence and cognitive symptomology of long COVID-19

Abstract:

Background: The pandemic has highlighted and exacerbated health inequities in both acute coronavirus disease 2019 (COVID-19) and its longer-term sequelae. Given the heterogeneity in definitions of long COVID and the lack of centralized registries of patients with the disease, little is known about the differential prevalence among racial, ethnic, and sex subgroups. This study examines long COVID among Black, White, Asian, and Hispanic Americans and evaluates differences in the associated cognitive symptomology.

Method: Data from four releases of the Census Bureau’s Household Pulse Survey detailing COVID-19 incidence and the duration and type of symptoms among a nationally representative sample of adults from June 1, 2022, through October 17, 2022, were combined. Binary logistic regression assessed the relative likelihood of long COVID among those who had been diagnosed COVID between racial, ethnic, and sex subgroups. Among those reporting long COVID, differences in the prevalence of difficulty understanding and difficulty remembering were assessed. Empirical models accounted for household, regional, vaccination, and insurance differences between respondents. Two-stage selection models were applied to test the robustness of the results.

Results: Among respondents who tested positive for COVID-19, Blacks (OR=1.097, CI=1.034-1.163), females (OR=1.849, CI=1.794-1.907), and Hispanics (OR=1.349, CI=1.286-1.414) were more likely to experience long COVID (symptoms lasting for 3 months or longer) compared to Whites, males, and non-Hispanics respectively. However, those with private health insurance (OR=0.634, CI=0.611-0.658) and who received the COVID vaccine (OR=0.901, CI=0.864-0.94) were less likely to have endured COVID symptoms than their counterparts. Symptoms of long COVID varied significantly between population subgroups. Compared to Whites, Blacks were more likely to have trouble remembering (OR=1.878, CI=1.765-1.808) while Hispanics were more likely to report difficult understanding (OR=1.827, CI=1.413, 2.362). Females, compared to males, were less likely to experience trouble understanding (OR=0.664, CI=0.537, 0.821), but more likely to report trouble remembering (OR=1.34, CI=1.237, 1.451).

Conclusions: Long COVID is more prevalent among Blacks, Hispanics, and females, but each group appears to experience long COVID differently. Therefore, additional research is needed to determine the best method to treat and manage this poorly understood condition.

Source: Jacobs MM, Evans E, Ellis C. Racial, ethnic, and sex disparities in the incidence and cognitive symptomology of long COVID-19. J Natl Med Assoc. 2023 Feb 13:S0027-9684(23)00025-1. doi: 10.1016/j.jnma.2023.01.016. Epub ahead of print. PMID: 36792456; PMCID: PMC9923441. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923441/ (Full text)

Unfavorable Outcome and Long-Term Sequelae in Cases with Severe COVID-19

Abstract:

Emerging evidence shows that individuals with COVID-19 who survive the acute phase of illness may experience lingering symptoms in the following months. There is no clear indication as to whether these symptoms persist for a short time before resolving or if they persist for a long time. In this review, we will describe the symptoms that persist over time and possible predictors in the acute phase that indicate long-term persistence.
Based on the literature available to date, fatigue/weakness, dyspnea, arthromyalgia, depression, anxiety, memory loss, slowing down, difficulty concentrating and insomnia are the most commonly reported persistent long-term symptoms. The extent and persistence of these in long-term follow-up is not clear as there are still no quality studies available.
The evidence available today indicates that female subjects and those with a more severe initial disease are more likely to suffer permanent sequelae one year after the acute phase. To understand these complications, and to experiment with interventions and treatments for those at greater risk, we must first understand the physio-pathological mechanisms that sustain them.
Source: Fabbri A, Voza A, Riccardi A, Vanni S, De Iaco F on behalf of the Study & Research Center of the Italian Society of Emergency Medicine (SIMEU). Unfavorable Outcome and Long-Term Sequelae in Cases with Severe COVID-19. Viruses. 2023; 15(2):485. https://doi.org/10.3390/v15020485 (Full text)

Long COVID in cancer patients: preponderance of symptoms in majority of patients over long time period

Abstract:

Background: An increasing number of observational studies have reported the persistence of symptoms following recovery from acute COVID-19 disease in non-cancer patients. The long-term consequences of COVID-19 are not fully understood particularly in the cancer patient population. The purpose of this study is to assess post-acute sequelae of SARS-CoV-2 infection (PASC) in cancer patients following acute COVID-19 recovery.

Methods: We identified cancer patients at MD Anderson Cancer Center who were diagnosed with COVID-19 disease between March 1, 2020 and Sept 1, 2020 and followed them till May 2021. To assess PASC, we collected patients reported outcomes through questionnaires that were sent to patients daily for 14 days after COVID-19 diagnosis then weekly for 3 months, and then monthly thereafter. We also reviewed patients’ electronic medical records to capture the persistence or emergence of new COVID19-related symptoms reported during any clinic or hospital encounter beyond 30 days of the acute illness and up to 14 months.

Results: We included 312 cancer patients with a median age of 57 years (18-86). The majority of patients had solid tumors (75%). Of the 312 patients, 188 (60%) reported long COVID-19 symptoms with a median duration of 7 months and up to 14 months after COVID-19 diagnosis. The most common symptoms reported included fatigue (82%), sleep disturbances (78%), myalgias (67%) and gastrointestinal symptoms (61%), followed by headache, altered smell or taste, dyspnea (47%) and cough (46%). A higher number of females reported a persistence of symptoms compared to males (63% vs 37%; p=0.036). Cancer type, neutropenia, lymphocytopenia, and hospital admission during acute COVID-19 disease were comparable in both groups. Among the 188 patients with PASC, only 16 (8.5%) were readmitted for COVID-related reasons.

Conclusions: More than one out of two cancer patients, and more likely females, report PASC that may persist beyond 6 months and even one year. The most common symptoms are non-respiratory and consist of fatigue, sleep disturbance, myalgia and gastro-intestinal symptoms. Most of the cancer patients with PASC were managed on outpatient basis with only 8,5% requiring a COVID-19 related re-admission.

Source: Dagher H, Chaftari AM, Subbiah IM, Malek AE, Jiang Y, Lamie P, Granwehr B, John T, Yepez E, Borjan J, Reyes-Gibby C, Flores M, Khawaja F, Pande M, Ali N, Rojo R, Karp DD, Chaftari P, Hachem R, Raad II. Long COVID in cancer patients: preponderance of symptoms in majority of patients over long time period. Elife. 2023 Feb 7;12:e81182. doi: 10.7554/eLife.81182. Epub ahead of print. PMID: 36748905. https://elifesciences.org/articles/81182 (Full text)