Trajectory of anxiety/depressive symptoms and sleep quality in individuals who had been hospitalized by COVID-19: The LONG-COVID-EXP multicenter study.

OBJECTIVE: To apply Sankey plots and exponential bar plots for visualizing the evolution of anxiety/depressive symptoms and poor sleep in previously hospitalized COVID-19 survivors. METHODS: A sample of 1266 subjects who were hospitalized due to a SARS-CoV-2 from March-May 2020 were assessed at 8.4 (T1), 13.2 (T2) and 18.3 (T3) months after hospitalization. The Hospital Anxiety and Depression Scale was used to determine anxiety (HADS-A) and depressive (HADS-D) symptoms. The Pittsburgh Sleep Quality Index (PSQI) evaluated sleep quality. Clinical features, onset symptoms and hospital data were collected from medical records. RESULTS: Sankey plots revealed that the prevalence of anxiety symptomatology (HADS-A ≥ 8 points) was 22.5% (n = 285) at T1, 17.6% (n = 223) at T2, and 7.9% (n = 100) at T3, whereas the prevalence of depressive symptoms (HADS-D ≥ 8 points) was 14.6% (n = 185) at T1, 10.9% (n = 138) at T2, and 6.1% (n = 78) at T3. Finally, the prevalence of poor sleep (PSQI≥8 points) decreased from 32.8% (n = 415) at T1, to 28.8% (n = 365) at T2, and to 24.8% (n = 314) at T3. The recovery curves show a decrease trend visualizing that these symptoms recovered the following years after discharge. The regression models did not reveal medical records associated with anxiety/depressive symptoms or poor sleep. CONCLUSION: The use of Sankey plots shows a fluctuating evolution of anxiety/depressive symptoms and poor sleep during the first years after the infection. In addition, exponential bar plots revealed a decrease prevalence of these symptoms during the first years after hospital discharge. No risk factors were identified in this cohort.

Trajectory of post-COVID brain fog, memory loss, and concentration loss in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP multicenter study.

Objective: This study aimed to apply Sankey plots and exponential bar plots for visualizing the trajectory of post-COVID brain fog, memory loss, and concentration loss in a cohort of previously hospitalized COVID-19 survivors. Methods: A sample of 1,266 previously hospitalized patients due to COVID-19 during the first wave of the pandemic were assessed at 8.4 (T1), 13.2 (T2), and 18.3 (T3) months after hospital discharge. They were asked about the presence of the following self-reported cognitive symptoms: brain fog (defined as self-perception of sluggish or fuzzy thinking), memory loss (defined as self-perception of unusual forgetfulness), and concentration loss (defined as self-perception of not being able to maintain attention). We asked about symptoms that individuals had not experienced previously, and they attributed them to the acute infection. Clinical and hospitalization data were collected from hospital medical records. Results: The Sankey plots revealed that the prevalence of post-COVID brain fog was 8.37% (n = 106) at T1, 4.7% (n = 60) at T2, and 5.1% (n = 65) at T3, whereas the prevalence of post-COVID memory loss was 14.9% (n = 189) at T1, 11.4% (n = 145) at T2, and 12.12% (n = 154) at T3. Finally, the prevalence of post-COVID concentration loss decreased from 6.86% (n = 87) at T1, to 4.78% (n = 60) at T2, and to 2.63% (n = 33) at T3. The recovery exponential curves show a decreasing trend, indicating that these post-COVID cognitive symptoms recovered in the following years after discharge. The regression models did not reveal any medical record data associated with post-COVID brain fog, memory loss, or concentration loss in the long term. Conclusion: The use of Sankey plots shows a fluctuating evolution of post-COVID brain fog, memory loss, or concentration loss during the first years after the infection. In addition, exponential bar plots revealed a decrease in the prevalence of these symptoms during the first years after hospital discharge. No risk factors were identified in this cohort.

Real-world experience of OnabotulinumtoxinA treatment in female patients with chronic migraine: a qualitative study using in-depth interviews.

BACKGROUND: Chronic migraine (CM) causes great disability and affects an individual's quality of life. OnabotulinumtoxinA (OBT-A, Botox®) was the first prophylactic treatment specifically indicated for CM. The aim of this study was to describe the experiences of women with CM treated with OBT-A. MATERIALS AND METHODS: The study design is a qualitative descriptive study. A purposeful sampling of 30 women (mean age, 42.7; standard deviation, 10.6) who had received at least two administrations of OBT-A for CM (PREEMPT protocol) was performed. Data collection included in-depth interviews and researchers' field notes. A thematic analysis was carried out according to qualitative research guidelines. RESULTS: Five themes were identified: (a) A long way to go before Botox®, (b) First time hearing about the treatment and its expectations, (c) The administration of Botox®, (d) Treatment effects, and (e) Follow-up. Patients described a long history of treatment failures prior to the start of OBT-A treatment. Information about this migraine treatment came from the neurologist; following the information, patients had high expectations, including unrealistic expectations regarding the onset and duration of effect. They acknowledged fear of the injections and some discomfort due to the procedure. With treatment, participants reported better migraine control and an improvement in their quality of life. Follow-up had some barriers, such as delayed appointments for subsequent doses, but also strengths, such as effectiveness and few side effects. CONCLUSIONS: Qualitative research offers insight into how patients with CM experience treatment with OBT-A. Our results highlight some relevant aspects that should be considered when providing OBT-A treatment.

Women had unrealistic expectations regarding the onset and duration of OBT-A effect.With OBT-A treatment, women perceived better migraine control and improved quality of life.Follow-up had barriers, such as delayed appointments for subsequent doses.

Reply to Ayuso García et al. Health Perception among Female COVID-19 Patients. Comment on "Fernández-de-las-Peñas et al. Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study. J. Clin. Med. 2022, 11, 413".

We have read with great interest the comment by Ayuso García et al [...].

Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study.

This multicenter cohort study investigated the differences between coronavirus disease 2019 (COVID-19) related symptoms and post-COVID symptoms between male and female COVID-19 survivors. Clinical and hospitalization data were collected from hospital medical records in a sample of individuals recovered from COVID-19 at five public hospitals in Spain. A predefined list of post-COVID symptoms was systematically assessed, but patients were free to report any symptom. Anxiety/depressive levels and sleep quality were also assessed. Adjusted multivariate logistic regressions were used to identify the association of sex with post-COVID related-symptoms. A total of 1969 individuals (age: 61, SD: 16 years, 46.4% women) were assessed 8.4 months after discharge. No overall significant sex differences in COVID-19 onset symptoms at hospital admission were found. Post-COVID symptoms were present in up to 60% of hospitalized COVID-19 survivors eight months after the infection. The number of post-COVID symptoms was 2.25 for females and 1.5 for males. After adjusting by all variables, female sex was associated with ≥3 post-COVID symptoms (adj OR 2.54, 95%CI 1.671-3.865, p < 0.001), the presence of post-COVID fatigue (adj OR 1.514, 95%CI 1.040-2.205), dyspnea (rest: adj OR 1.428, 95%CI 1.081-1.886, exertion: adj OR 1.409, 95%CI 1.109-1.791), pain (adj OR 1.349, 95%CI 1.059-1.720), hair loss (adj OR 4.529, 95%CI 2.784-7.368), ocular problems (adj OR 1.981, 95%CI 1.185-3.312), depressive levels (adj OR 1.606, 95%CI 1.002-2.572) and worse sleep quality (adj OR 1.634, 95%CI 1.097-2.434). Female sex was a risk factor for the development of some long-term post-COVID symptoms including mood disorders. Healthcare systems should consider sex differences in the management of long haulers.

Fatigue and Dyspnoea as Main Persistent Post-COVID-19 Symptoms in Previously Hospitalized Patients: Related Functional Limitations and Disability.

BACKGROUND: Multicentre studies focussing on specific long-term post-COVID-19 symptoms are scarce. OBJECTIVE: The aim of this study was to determine the levels of fatigue and dyspnoea, repercussions on daily life activities, and risk factors associated with fatigue or dyspnoea in COVID-19 survivors at long term after hospital discharge. METHODS: Age, gender, height, weight, symptoms at hospitalization, pre-existing medical comorbidity, intensive care unit admission, and the presence of cardio-respiratory symptoms developed after severe acute respiratory syndrome coronavirus 2 infection were collected from patients who recovered from COVID-19 at 4 hospitals in Madrid (Spain) from March 1 to May 31, 2020 (first COVID-19 wave). The Functional Impairment Checklist was used for evaluating fatigue/dyspnoea levels and functional limitations. RESULTS: A total of 1,142 patients (48% women, age: 61, standard deviation [SD]: 17 years) were assessed 7.0 months (SD 0.6) after hospitalization. Fatigue was present in 61% patients, dyspnoea with activity in 55%, and dyspnoea at rest in 23.5%. Only 355 (31.1%) patients did not exhibit fatigue and/or dyspnoea 7 months after hospitalization. Forty-five per cent reported functional limitations with daily living activities. Risk factors associated with fatigue and dyspnoea included female gender, number of pre-existing comorbidities, and number of symptoms at hospitalization. The number of days at hospital was a risk factor just for dyspnoea. CONCLUSIONS: Fatigue and/or dyspnoea were present in 70% of hospitalized COVID-19 survivors 7 months after discharge. In addition, 45% patients exhibited limitations on daily living activities. Being female, higher number of pre-existing medical comorbidities and number of symptoms at hospitalization were risk factors associated to fatigue/dyspnoea in COVID-19 survivors 7 months after hospitalization.

Prevalence and risk factors of musculoskeletal pain symptoms as long-term post-COVID sequelae in hospitalized COVID-19 survivors: a multicenter study.

ABSTRACT: This study investigated the prevalence of long-term musculoskeletal post-COVID pain and their risk factors in a large cohort of COVID-19 survivors. A multicenter cohort study including patients hospitalised because of COVID-19 in 5 hospitals of Madrid (Spain) during the first wave of the pandemic was conducted. Hospitalisation and clinical data were collected from medical records. Patients were scheduled for a telephone interview after hospital discharge for collecting data about the musculoskeletal post-COVID pain. Anxiety/depressive levels and sleep quality were likewise assessed. From 2000 patients recruited, a total of 1969 individuals (46.4% women, age: 61 years, SD: 16 years) were assessed on average at 8.4 (SD: 1.5) months after discharge. At the time of the study, 887 (45% women) reported musculoskeletal post-COVID pain. According to the presence of previous pain symptoms, the prevalence of "de novo" (new-onset) musculoskeletal post-COVID pain was 74.9%, whereas 25.1% experienced an increase in previous symptoms (exacerbated COVID-related pain). Female sex (odds ratio [OR]: 1.349, 95% confidence interval [CI]: 1.059-1.720), history of musculoskeletal pain (OR 1.553, 95% CI 1.271-1.898), presence of myalgia (OR 1.546, 95% CI 1.155-2.070) and headache (1.866, 95% CI 1.349-2.580) as COVID-19-associated onset symptoms, and days at hospital (OR 1.013, 95% CI 1.004-1.022) were risk factors associated with musculoskeletal post-COVID pain. In conclusion, musculoskeletal post-COVID pain is present in 45.1% of COVID-19 survivors at 8 months after hospital discharge with most patients developing de novo post-COVID pain. Female sex, history of musculoskeletal pain, presence of myalgia and headache as COVID-19 symptoms at the acute phase, and days at hospital were risk factors associated with musculoskeletal post-COVID pain.

Diabetes and the Risk of Long-term Post-COVID Symptoms.

This study investigated the association of diabetes in patients who recovered from severe acute respiratory syndrome coronavirus 2 infection with the presence of long-term post-coronavirus disease (COVID) symptoms. A case-control study that included individuals hospitalized during the first wave of the pandemic was conducted. Patients with a previous diagnosis of diabetes and under medical control were considered case subjects. Two age- and sex-matched patients without presenting diabetes per case subject were recruited as control subjects. Hospitalization and clinical data were collected from hospital medical records. Patients were scheduled for a telephone interview. A list of post-COVID symptoms was systematically evaluated, but participants were invited to freely report any symptom. The Hospital Anxiety and Depression Scale and the Pittsburgh Sleep Quality Index were used to assess anxiety and depressive symptoms, and sleep quality, respectively. Multivariable conditional logistic regression models were constructed. Overall, 145 patients with diabetes and 144 control subjects without diabetes who had recovered from COVID-19 were assessed at 7.2 (SD 0.6) months after hospital discharge. The number of post-COVID symptoms was similar between groups (incident rate ratio 1.06, 95% CI 0.92-1.24, P = 0.372). The most prevalent post-COVID symptoms were fatigue, dyspnea on exertion, and pain. No between-groups differences in any post-COVID symptom were observed. Similarly, no differences in limitations with daily living activities were found between patients with and without diabetes. Diabetes was not a risk factor for experiencing long-term post-COVID symptoms.