key: cord-0924379-54hsw1iy
authors: Fernández-de-las-Peñas, César; Torres-Macho, Juan; Velasco-Arribas, María; Plaza-Canteli, Susana; Arias-Navalón, José A.; Hernández-Barrera, Valentín; Guijarro, Carlos
title: Preexisting hypertension is associated with a greater number of long-term post-COVID symptoms and poor sleep quality: a case–control study
date: 2022-02-16
journal: J Hum Hypertens
DOI: 10.1038/s41371-022-00660-6
sha: ebb6b1bf07ea40472c883dfe97c5ac271c09b13f
doc_id: 924379
cord_uid: 54hsw1iy

nan

persisted at the time of the study. They were systematically asked about the following list of post-COVID symptoms: dyspnea, fatigue, chest pain, headache, anosmia, ageusia, cough, palpitations, diarrhea, cognitive blunting/brain fog, or memory loss, but they were free to report any symptom that they considered relevant.

The Hospital Anxiety and Depression Scale (HADS) and the Pittsburgh Sleep Quality Index (PSQI) were used to assess anxiety/ depression symptoms and sleep quality, respectively, as both can be adequately administered by telephone [8] . Briefly, the HADS includes an anxiety (HADS-A, 7-items, 21 points) and a depressive (HADS-D, 7-items, 21 points) symptoms subscale [9] . We considered the cut-off scores recommended for the Spanish population (HADS-A ≥ 12 points; HADS-D ≥ 10 points) for determining anxiety and depressive symptoms, respectively [10] . The PSQI evaluates the quality of sleep over the previous month throughout 19 self-rated questions assessing different sleep aspects [11] . Questions are answered on a 4-point Likert-type scale (0-3), and the sum is transformed into a global score (0-21 points) where higher scores are indicative of worse sleep quality. A total score ≥8.0 points suggests poor sleep quality [11] .

The McNemar and paired Student t tests were applied to compare proportions and means between groups. Multivariable conditional logistic regression models, adjusted by baseline factors, was constructed to identify those variables significantly different in the hypertensive patients. Adjusted odd ratios (OR) with 95% confidence intervals (95% CI) were calculated.

Among 1850 COVID-19 patients hospitalized during the first wave of the pandemic, a total of 287 hypertensive and 287 ageand sex-matched normotensive patients were recruited. No differences in symptoms at hospital admission were observed (Table 1) . A significant greater proportion of hypertensive patients had higher number of comorbid conditions than normotensive patients (X 2 : 56.340, P < 0.001). In fact, a higher proportion of hypertensive patients reported comorbid diabetes, cardiovascular disease, and obesity when compared with normotensive patients (all, P < 0.01).

From the total sample, just 109 (18.9%) were completely free of any post-COVID symptom 7.2 months after hospital discharge. A greater proportion of hypertensive patients reported ≥3 post-COVID symptoms compared to normotensive patients (X 2 : 13.089, P = 0.023). The number of post-COVID symptoms in the hypertensive group (mean: 2.1, SD: 1.4) was greater (IRR1.16, 95% CI 1.03-1.30, P = 0.012) than that in the normotensive group (mean: 1.8, SD: 1.4)

The most prevalent post-COVID symptoms were fatigue, dyspnea at rest and dyspnea on exertion (Table 1 ). No differences in the presence of fatigue (OR1.32; 95% CI 0.94-1.84; P = 0.105), dyspnea at rest (OR1.13; 95% CI 0.76-1.68; P = 0.557) or dyspnea on exertion (OR1.25; 95% CI 0.90-2.99; P = 0.178) between hypertensive and normotensive patients were observed (Table 1) . Migraine-like headache as a post-COVID symptom was more frequent in hypertensive than in normotensive patients (10% versus 5.6%, P = 0.01). A higher proportion of hypertensive patients had poor sleep quality (OR1.68, 95% CI 1.18-2.38, P = 0.003), but no differences were found for depressive (OR1.26, 95% CI 0.85-1.89) or anxiety symptoms (OR1.11, 95% CI 0.71-1.72) ( Table 1) .

Identification of the phenotype of patients at a higher risk of death during the acute infection or at a higher risk of developing post-COVID symptoms is crucial. To the best of the author's knowledge, this is the first case-control study investigating the association of hypertension with long-term post-COVID symptoms. We observed that hypertensive patients showed a greater number of post-COVID symptoms and worse sleep quality than normotensive patients. No overall differences in specific post-COVID symptoms were seen, except for a higher presence of post-COVID migraine-like headache in hypertensive patients. This finding is expected since hypertension is highly comorbid with migraine [12] . Hypertension was not associated with any particular post-COVID symptom, but they exhibited a greater number of symptoms. It is possible that hypertense individuals exhibit post-COVID symptoms in a greater extent than normotensive patients, but not any specific, symptoms. Nevertheless, hypertensive was associated with poor sleep quality. However, we cannot assume that poor sleep quality is due to COVID-19 since we do not have data before the infection and hospitalization.

As expected, hypertense patients also exhibited comorbid diabetes and diabetes. A meta-analysis has reported that the risk of obesity and diabetes is independent and non-additive between them in COVID-19 patients [13] . These data would suggest that our results are more related to the presence of hypertension rather than the presence of these other co-morbidities. 

In agreement with this hypothesis, the multivariate analysis found that hypertension was independently associated with a greater number of post-COVID symptoms and poor sleep quality. Our study has some limitations. First, patients were recruited from a single center and followed up by telephone. Second, only hospitalized patients were included. Third, we did not collect objective measures of disease severity, e.g., inflammatory biomarkers. Finally, we collected data cross-sectionally; hence, the exploratory nature of the study needs to be confirmed in longitudinal design. In fact, although we systematically asked for the presence of symptoms developed after hospitalization due to COVID-19, since we did not collect the presence of symptoms before the infection, we cannot confirm that all symptoms are just consequence of COVID-19. Additionally, we cannot firmly exclude the role of hospitalization factors, e.g., ICU admission or the treatments provided, in the development of long-term post-COVID symptoms.

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All authors contributed to the study concept and design. CFdlP conducted literature review. VHB performed the statistical analysis. JTM, CG, MVA, SPC, and JAN recruited participants. CG supervised the study. All authors collected data and contributed to interpretation of data. All authors contributed to drafting the paper, revised the text for intellectual content and have read and approved the final version of the paper.

The authors declare no competing interests.

Correspondence and requests for materials should be addressed to César Fernández-de-las-Peñas.Reprints and permission information is available at http://www.nature.com/ reprintsPublisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.