Long COVID in the Long Run-23-Month Follow-up Study of Persistent Symptoms.
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ABSTRACT:
SUBMITTER: Helmsdal G
PROVIDER: S-EPMC9308378 | biostudies-literature | 2022 Jul
REPOSITORIES: biostudies-literature
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Long COVID in the Long Run-23-Month Follow-up Study of Persistent Symptoms.
Helmsdal Gunnhild G Hanusson Katrin Dahl KD Kristiansen Marnar Fríðheim MF Foldbo Billa Mouritsardóttir BM Danielsen Marjun Eivindardóttir ME Steig Bjarni Á BÁ Gaini Shahin S Strøm Marin M Weihe Pál P Petersen Maria Skaalum MS
Open forum infectious diseases 20220606 7
Symptoms of long coronavirus disease (COVID) were found in 38% of 170 patients followed for a median of 22.6 months. The most prevalent symptoms were fatigue, affected taste and smell, and difficulties remembering and concentrating. Predictors for long COVID were older age and number of symptoms in the acute phase. Long COVID may take many months, maybe years, to resolve. ...[more]
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Project description: Not available
| S-EPMC9082048 | biostudies-literature
Project description:BackgroundTo date, evidence about sleep disturbances among post-COVID-19 patients is limited. This study aimed to evaluate sleep quality after hospitalization due to SARS-CoV-2 infection.MethodsIn-person follow-up was conducted in patients with prior hospitalization due to COVID-19 1(Τ1), 3(Τ2), and 6 (Τ3) months after hospital discharge. Patients were asked to complete questionnaires concerning sleep quality: the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), the Athens Insomnia Scale (AIS), the Fatigue Severity Scale (FSS), and the Stop-BANG (S-B) questionnaire.ResultsIn total, 133 patients were enrolled (mean age: 56.0 ± 11.48 years, 59.4% males). The most frequently reported comorbidity was arterial hypertension (29.8% of patients), while 37.4% of patients had no comorbidities. The majority of participants exhibited poor sleep quality (global PSQI ≥ 5) at T1 (84.3%), T2 (75.7%), and T3 (77.4%). Insomnia was observed in 56.5%, 53.5%, and 39.2% of participants, respectively (AIS ≥ 6). An FSS score ≥ 4 was observed in 51.2%, 33.7%, and 29.1% of participants at T1, T2, T3, respectively. Elapsed time was found to be negatively and independently associated with the global PSQI, PSQI C5-Sleep disturbance, PSQI C7-Daytime dysfunctions, FSS, and AIS after adjustment for possible confounders. No significant difference was found between groups with good and poor sleep quality (based on the global PSQI) with respect to gender (p = 0.110), age (p = 0.528), BMI (p = 0.816), smoking status (p = 0.489), hypertension (p = 0.427), severity of disease (p = 0.224), the Charlson Comorbidity Index (p = 0.827), or the length of hospital stay (p = 0.162). Participants with excessive daytime sleepiness (EDS) and patients with severe fatigue (FSS ≥ 4) were significantly younger. Females presented a higher rate of insomnia symptoms (55.7% vs. 44.3%, p < 0.001).ConclusionsSeveral sleep disturbances were observed after hospital discharge for COVID-19 pneumonia at certain time points; However, the improvement over time was remarkable in most domains of the assessed questionnaires.
| S-EPMC9692708 | biostudies-literature
Project description:BackgroundLong-term effects of COVID-19, also called Long COVID, affect more than 10% of patients. The most severe cases (i.e. those requiring hospitalization) present a higher frequency of sequelae, but detailed information on these effects is still lacking. The objective of this study is to identify and quantify the frequency and outcomes associated with the presence of sequelae or persistent symptomatology (SPS) during the 6 months after discharge for COVID-19.MethodsRetrospective observational 6-month follow-up study conducted in four hospitals of Spain. A cohort of all 969 patients who were hospitalized with PCR-confirmed SARS-CoV-2 from March 1 to April 15, 2020, was included. We collected all the SPS during the 6 months after discharge reported by patients during follow-up from primary care records. Cluster analyses were performed to validate the measures. The main outcome measures were return to the Emergency Services, hospital readmission and post-discharge death. Surviving patients' outcomes were collected through clinical histories and primary care reports. Multiple logistic regression models were applied.ResultsThe 797 (82.2%) patients who survived constituted the sample followed, while the rest died from COVID-19. The mean age was 63.0 years, 53.7% of them were men and 509 (63.9%) reported some sequelae during the first 6 months after discharge. These sequelae were very diverse, but the most frequent were respiratory (42.0%), systemic (36.1%), neurological (20.8%), mental health (12.2%) and infectious (7.9%) SPS, with some differences by sex. Women presented higher frequencies of headache and mental health SPS, among others. A total of 160 (20.1%) patients returned to the Emergency Services, 35 (4.4%) required hospital readmission and 8 (1.0%) died during follow-up. The main factors independently associated with the return to Emergency Services were persistent fever, dermatological SPS, arrythmia or palpitations, thoracic pain and pneumonia.ConclusionsCOVID-19 cases requiring hospitalization during the first wave of the pandemic developed a significant range of mid- to long-term SPS. A detailed list of symptoms and outcomes is provided in this multicentre study. Identification of possible factors associated with these SPS could be useful to optimize preventive follow-up strategies in primary care for the coming months of the pandemic.
| S-EPMC8134820 | biostudies-literature
Project description:Sarcoidosis + Follow-up 6 month after Keywords = sarcoidosis Keywords = follow-up Keywords: other
2005-01-18 | GSE1907 | GEO
Project description:BackgroundThe psychological impact of COVID-19 can be substantial. However, knowledge about long-term psychological outcomes in patients with COVID-19 is scarce.ObjectiveIn this longitudinal, observational study, we aimed to reveal symptoms of posttraumatic stress disorder (PTSD) and symptoms of anxiety and depression up to 6 months after the onset of COVID-19-related symptoms in patients with confirmed COVID-19 and persistent complaints. To demonstrate the impact in nonhospitalized patients, we further aimed to compare these outcomes between nonhospitalized and hospitalized patients.MethodsDemographics, symptoms of PTSD (Trauma Screening Questionnaire [TSQ] ≥6 points) and symptoms of anxiety and depression (Hospital Anxiety and Depression Scale [HADS] ≥8 points) were assessed at 3 and 6 months after the onset of COVID-19-related symptoms in members of online long COVID-19 peer support groups.ResultsData from 239 patients with confirmed COVID-19 (198/239, 82.8% female; median age: 50 [IQR 39-56] years) were analyzed. At the 3-month follow-up, 37.2% (89/239) of the patients had symptoms of PTSD, 35.6% (85/239) had symptoms of anxiety, and 46.9% (112/239) had symptoms of depression, which remained high at the 6-month follow-up (64/239, 26.8%, P=.001; 83/239, 34.7%, P=.90; 97/239, 40.6%, P=.08, respectively; versus the 3-month follow-up). TSQ scores and HADS anxiety and depression scores were strongly correlated at the 3- and 6-month follow-ups (r=0.63-0.71, P<.001). Symptoms of PTSD, anxiety, and depression were comparable between hospitalized (n=62) and nonhospitalized (n=177) patients.ConclusionsA substantial percentage of patients with confirmed COVID-19 and persistent complaints reported symptoms of PTSD, anxiety, or depression 3 and 6 months after the onset of COVID-19-related symptoms. The prevalence rates of symptoms of PTSD, anxiety, and depression were comparable between hospitalized and nonhospitalized patients and merely improved over time. Health care professionals need to be aware of these psychological complications and intervene on time in post-COVID-19 patients with persistent complaints.Trial registrationNetherlands Trial Register NTR8705; https://www.trialregister.nl/trial/8705.
| S-EPMC8914795 | biostudies-literature
Project description:BackgroundEmerging research indicates growing concern over long COVID globally, although there have been limited studies that estimate population burden. We aimed to estimate the burden of long COVID in three districts of Haryana, India, using an opportunity to link a seroprevalence study to follow-up survey of symptoms associated with long COVID.MethodsWe used a population-based seroprevalence survey for COVID-19 conducted in September 2021 across Haryana, India. Adults from three purposively selected districts (Rohtak, Gurugram, and Jhajjar) were eligible to participate; 2205 of 3213 consented to participate in a survey on health status. Trained investigators administered a structured questionnaire that included demographic characteristics, self-reported symptoms of illness in the last six months before the survey, mental health, and history of COVID-19.FindingsUnadjusted regression estimates indicated positive correlations between symptomatic complaints and COVID-19 exposure, suggesting lingering effects of COVID-19 in this population. The overall physical morbidity index was higher among those who tested positive for COVID-19, as was the incidence of new cases. However, both morbidity and incidence became statistically insignificant after adjustment for multiple comparisons. Cough emerged as the only statistically significant individual persistent symptom. Sex-stratified analyses indicated significant estimates only for physical morbidity in women.InterpretationThis study is one of the first from India that uses a large population-based sample to examine longer term repercussions of COVID infections. The burden of long COVID should primarily be addressed in clinical settings, where specialised treatment for individual cases continues to evolve. Our analyses also provide insight into the size and nature of studies required to assess the population-level burden of long COVID.FundingThis paper was produced under the auspices of the Lancet COVID 19 Commission India Task Force, which was supported financially by the Reliance Foundation. The Lancet COVID 19 Commission was set up in July 2020 and submitted its final report by October 2022. This report by the India Task Force was prepared during the same period.
| S-EPMC10998228 | biostudies-literature
Project description:Fecal microbiota profiles of growing pigs on three Finnish farms
| PRJEB70954 | ENA
Project description:BackgroundDuring the peak of the epidemic, hospitalized patients frequently encountered significant health risks and potentially life-threatening circumstances, including uncertainty regarding treatment and the potential for complications.ObjectiveThe present study aimed to explore the prevalence of post-traumatic stress disorder (PTSD) symptoms among hospitalized patients 3 months after discharge during the first peak of the epidemic, and the association of PTSD with disease-related characteristics.DesignA single-center and full-sample follow-up study was conducted on COVID-19 patients from the Optical Valley Branch of Maternal and Child Hospital of Hubei Province, Wuhan, China. Data were collected during their hospitalization and 3 months after discharge.MethodsPTSD symptoms were evaluated by primary care post-traumatic stress disorder (PC-PTSD), a total score of 3 or above was considered as clinically significant PTSD symptoms. Demographic and disease-related characteristics were collected to identify related associations with PTSD symptoms.ResultsA total of 903 patients completed the follow-up survey, yielding a response rate of 63.5%. A total of 212 (23.5%) of the patients were positive in PC-PTSD screening. Univariate regression analysis identified several factors correlated with PTSD symptoms, including female gender, younger age, a lower body mass index (BMI), preexisting sleep problems, bereavement due to COVID-19, a severe clinical diagnosis, the presence of three or more clinical symptoms at disease onset, and residual respiratory symptoms after discharge. Notably, in the multivariate regression analysis, experiencing three or more clinical symptoms at onset emerged as a robust predictor of PTSD symptoms (OR = 2.09, 95% CI: 1.48-2.95). An intriguing finding was that patients who underwent radiological assessment post-discharge reported a higher incidence of PTSD symptoms, whereas those who underwent re-testing for IgG or IgM antibodies exhibited a lower prevalence of PTSD symptoms.ConclusionThree months post-recovery, PTSD symptoms prevalence among COVID-19 patients was 23.5%. Those with three or more clinical symptoms at onset or residual respiratory symptoms post-discharge showed higher risk. These findings highlighted the long-term effect of COVID-19 on mental health, urging enhanced attention and interventions for survivors.
| S-EPMC11569496 | biostudies-literature
Project description:BackgroundFew studies have evaluated long-COVID in adolescents.MethodsCohort study. Demographics, clinical data, and the presence of 30 symptoms were collected with a modified WHO form. Mean values were compared by Student's t test and proportions by the chi-square test or Fisher test, with trends over time analysed using the chi-square test for trend. Potential risk factors independently associated with persisting symptoms were evaluated in a multivariable logistic regression model. Clustering of cases was analysed by two-step automatic clustering.ResultsA total of 97 adolescents aged 12-17 (54.6% females, 45.4% males) were evaluated. After a mean interval of 96 days (SD 52) from acute infection, the mean number of symptoms (2.8 overall) was higher for pre-Omicron (3.2 vs. 2.5 in Omicron, p = 0.046) and moderate/severe acute infections (4.2 vs. 2.7 in mild, p = 0.023). Fatigue (62.9%) and dyspnea (43.3%) were the most common symptoms, followed by headache (28.9%), thoracic pain (22.7%), diarrhea (20.6%), palpitations/tachycardia (17.5%), articular pain (15.5%), difficult concentration (14.4%), muscle pain (12.4%), taste reduction (8.2%), smell reduction (8.2%), fever (6.2%), and skin disorders (5.2%). The symptom profile was similar in males and females but showed significant differences from that observed in concurrently followed adults. After a mean interval of 340 days from infection, 45.3% still presented symptoms, with persistence associated with higher number of initial symptoms. Two clusters were defined that differed in the phase of acute infection and the number and profile of symptoms.ConclusionsLong-COVID manifestations in adolescents may differ from those observed in adults. Polisymptomaticity may predict long-term persistence.
| S-EPMC11763728 | biostudies-literature
Project description:COVID-19 outbreak is associated with mental health implications during viral infection and at short-term follow-up. Data on psychiatric and cognitive sequelae at medium-term follow-up are still lacking. During an ongoing prospective cohort study, the psychopathological and cognitive status of 226 COVID-19 pneumonia survivors (149 male, mean age 58) were prospectively evaluated one and three months after hospital discharge. Psychiatric clinical interview, self-report questionnaires, and neuropsychological profiling of verbal memory, working memory, psychomotor coordination, executive functions, attention and information processing, and verbal fluency were performed. Three months after discharge from the hospital, 35.8% still self-rated symptoms in the clinical range in at least one psychopathological dimension. We observed persistent depressive symptomatology, while PTSD, anxiety, and insomnia decreased during follow-up. Sex, previous psychiatric history, and the presence of depression at one month affected the depressive symptomatology at three months. Regardless of clinical physical severity, 78% of the sample showed poor performances in at least one cognitive domain, with executive functions and psychomotor coordination being impaired in 50% and 57% of the sample. Baseline systemic immune-inflammation index (SII), which reflects the immune response and systemic inflammation based on peripheral lymphocyte, neutrophil, and platelet counts, predicted self-rated depressive symptomatology and cognitive impairment at three-months follow-up; and changes of SII predicted changes of depression during follow-up. Neurocognitive impairments associated with severity of depressive psychopathology, and processing speed, verbal memory and fluency, and psychomotor coordination were predicted by baseline SII. We hypothesize that COVID-19 could result in prolonged systemic inflammation that predisposes patients to persistent depression and associated neurocognitive dysfunction. The linkage between inflammation, depression, and neurocognition in patients with COVID-19 should be investigated in long-term longitudinal studies, to better personalize treatment options for COVID-19 survivors.
| S-EPMC7903920 | biostudies-literature