An Unusual Cause of Increasing Excessive Daytime Sleepiness in a CPAP-treated Obstructive Sleep Apnea Patient.

The onset of narcolepsy type 1 (NT1) occurs after 50 years of age in less than 2% of the cases. In older adults, the diagnosis is often delayed due to the presence of neurological degenerative and inflammatory comorbidities and overlapping sleep disorders. We report the case of a 63-year-old man with a 5-year history of excessive daytime sleepiness (EDS) and a 2-year diagnosis of obstructive sleep apnea syndrome (OSAS), which. OSAS was confirmed by respiratory polygraphy that showed an apnea-hypopnea index (AHI) of 71 events/hour of sleep associated with significant nocturnal hypoxemia (lowest oxygen saturation: 53%), which lead to the initiation of continuous positive airway pressure (CPAP) treatment. Cognitive complaints, unexplained spells of dizziness, and lack of improvement in EDS with CPAP led to further diagnostic investigation of infectious, inflammatory, and neurodegenerative disorders. Low hypocretin levels in the cerebrospinal fluid (CSF) confirmed the diagnosis of NT1, and the patient's symptoms improved with the treatment with pitolisant. Though exceptional in older adults, NT1 should be suspected in the presence of atypical EDS with neurological complaints, unexplained dizzy spells, or OSAS that resists the CPAP treatment. Low levels of hypocretin in the CSF are highly specific and rule out other neurological and sleep disorders.

Factors Associated with Persistent Obstructive Sleep Apnea After Bariatric Surgery: A Narrative Review.

The prevalence of obstructive sleep apnea (OSA) among the bariatric surgery population is estimated to be 45-70%. However, weight loss obtained by bariatric surgery is not always associated with full remission of OSA, suggesting that other confounding factors are present. This article aims to review the current literature, focusing on factors that could predict the persistence of OSA after bariatric surgery. For this purpose, relevant studies of more than 50 patients that assessed pre- and post-operative presence and severity of OSA detected by poly(somno)graphy (PG/PSG) in bariatric populations were collected. Six retrospective and prospective studies were evaluated that included 1302 OSA patients, with a BMI range of 42.6 to 56 kg/m2, age range of 44.8 to 50.7 years, and percentage of women ranging from 45% to 91%. The studies were very heterogeneous regarding type of bariatric surgery, diagnostic criteria for OSA and OSA remission, and delay of OSA reassessment. OSA remission was observed in 26% to 76% of patients at 11-12 months post-surgery. Loss to follow-up was high in all studies, leading to a potential underestimation of OSA remission. Based on this limited sample of bariatric patients, age, pre-operative OSA severity, proportion of weight loss, and type 2 diabetes (T2D) were identified as factors associated with OSA persistence but the results were inconsistent between studies regarding the impact of age and the magnitude of weight loss. Several other factors may potentially lead to OSA persistence in the bariatric surgery population, such as fat distribution, ethnicity, anatomical predisposition, pathophysiological traits, supine position, and REM-predominant hypopnea and apnea. Further well-conducted multicentric prospective studies are needed to document the importance of these factors to achieve a better understanding of OSA persistence after bariatric surgery in obese patients.

Enhancing OSA Assessment with Explainable AI.

Explainable Artificial Intelligence (xAI) is a rapidly growing field that focuses on making deep learning models interpretable and understandable to human decision-makers. In this study, we introduce xAAEnet, a novel xAI model applied to the assessment of Obstructive Sleep Apnea (OSA) severity. OSA is a prevalent sleep disorder that can lead to numerous medical conditions and is currently assessed using the Apnea-Hypopnea Index (AHI). However, AHI has been criticized for its inability to accurately estimate the effect of OSAs on related medical conditions. To address this issue, we propose a human-centric xAI approach that emphasizes similarity between apneic events as a whole and reduces subjectivity in diagnosis by examining how the model makes its decisions. Our model was trained and tested on a dataset of 60 patients' Polysomnographic (PSG) recordings. Our results demonstrate that the proposed model, xAAEnet, outperforms models with traditional architectures such as convolutional regressor, autoencoder (AE), and variational autoencoder (VAE). This study highlights the potential of xAI in providing an objective OSA severity scoring method.Clinical relevance- This study provides an objective OSA severity scoring technique which could improve the management of apneic patients in clinical practice.

Pulmonary rehabilitation improves sleep efficiency measured by actigraphy in poorly sleeping COPD patients.

Chronic insomnia is reported by up to 50% of chronic obstructive pulmonary disease (COPD) patients. This may be attributable to several factors including nocturnal dyspnea, reduced physical activity, and less time outside. Pulmonary rehabilitation (PR) is recommended in COPD to improve both physical and psychological conditioning. The aim of this study was to assess the effect of PR on sleep efficiency (SE, measured by actigraphy) in COPD patients. COPD eligible for PR were prospectively included. Baseline and post PR (30 sessions) assessments included incremental and maximal exercise testing, 6-min walking distance test (6MWT), actigraphy, and questionnaires [Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety Depression scale, St George Respiratory, and modified Medical Research Council dyspnea scale]. Sixty-one patients were included, and 31 patients completed the study protocol (68% of males, age 63 ± 9 y, FEV1 44.2 ± 12.3%). After PR, SE remained unchanged, p = 0.07, as well as PSQI score (p = 0.22), despite improvements in exercise capacity (incremental exercise test, 6MWT) and dyspnea. However, SE improved significantly in the poor sleeper subgroup (SE < 85%, n = 24, p = 0.02), whereas the PSQI remained unchanged. The present study shows, in COPD patients included in a PR program, that improvement in exercise capacity was disappointingly not associated with a better SE assessed by actigraphy. Subjective sleep quality was also unchanged at the end of PR program. However, SE improved significantly in the poor sleeper subgroup (SE < 85%). Further studies are required to better characterize the origin of sleep disturbances in COPD and the potential benefit of some (non-)pharmacologic interventions.

Pulmonary Functional Outcomes at 3 Months in Critical COVID-19 Survivors Hospitalized during the First, Second, and Third Pandemic Waves.

INTRODUCTION: Despite improved management of patients with COVID-19, we still ignore whether pharmacologic treatments and improved respiratory support have modified outcomes for intensive care unit (ICU) surviving patients of the three first consecutive waves (w) of the pandemic. The aim of this study was to evaluate whether developments in the management of ICU COVID-19 patients have positively impacted respiratory functional outcomes, quality of life (QoL), and chest CT scan patterns in ICU COVID-19 surviving patients at 3 months, according to pandemic waves. METHODS: We prospectively included all patients admitted to the ICU of two university hospitals with acute respiratory distress syndrome (ARDS) related to COVID-19. Data related to hospitalization (disease severity, complications), demographics, and medical history were collected. Patients were assessed 3 months post-ICU discharge using a 6 min walking distance test (6MWT), a pulmonary function test (PFT), a respiratory muscle strength (RMS) test, a chest CT scan, and a Short Form 36 (SF-36) questionnaire. RESULTS: We included 84 ARDS COVID-19 surviving patients. Disease severity, complications, demographics, and comorbidities were similar between groups, but there were more women in wave 3 (w3). Length of stay at the hospital was shorter during w3 vs. during wave 1 (w1) (23.4 ± 14.2 days vs. 34.7 ± 20.8 days, p = 0.0304). Fewer patients required mechanical ventilation (MV) during the second wave (w2) vs. during w1 (33.3% vs. 63.9%, p = 0.0038). Assessment at 3 months after ICU discharge revealed that PFTs and 6MWTs scores were worse for w3 > w2 > w1. QoL (SF-36) deteriorated (vitality and mental health) more for patients in w1 vs. in w3 (64.7 ± 16.3 vs. 49.2 ± 23.2, p = 0.0169). Mechanical ventilation was associated with reduced forced expiratory volume (FEV1), total lung capacity (TLC), diffusing capacity for carbon monoxide (DLCO), and respiratory muscle strength (RMS) (w1,2,3, p < 0.0500) on linear/logistic regression analysis. The use of glucocorticoids, as well as tocilizumab, was associated with improvements in the number of affected segments in chest CT, FEV1, TLC, and DLCO (p < 0.01). CONCLUSIONS: With better understanding and management of COVID-19, there was an improvement in PFT, 6MWT, and RMS in ICU survivors 3 months after ICU discharge, regardless of the pandemic wave during which they were hospitalized. However, immunomodulation and improved best practices for the management of COVID-19 do not appear to be sufficient to prevent significant morbidity in critically ill patients.

Obstructive sleep apnea is not associated with diabetic retinopathy in diabetes: a prospective case-control study.

PURPOSE: Diabetic retinopathy (DR) is the most common ocular complication of type 2 diabetes mellitus (T2D) and is associated with diabetes duration, glycemic control, and hypertension (HTN). Obstructive sleep apnea (OSA) is frequent in T2D and is associated with poor glycemic control. However, it is unclear if there is an association between OSA and DR. This study aimed to assess whether or not the presence of OSA in patients with T2D was associated with DR. METHODS: In this prospective case-control study, consecutive patients with DM attending the ophthalmology clinics were recruited to include patients with DR (cases) and without DR (controls). OSA was diagnosed by attended polysomnography (PSG). Blood pressure and a fasting morning blood sample, including glycosylated hemoglobin (HbA1c), were recorded. Patients were matched for age, body mass index (BMI), gender, and T2D duration. RESULTS: Thirty diabetic patients with DR were matched with 30 controls. In all patients, the prevalence of moderate-to-severe OSA was 57%. In the logistic regression analysis, DR was associated with increased HbA1c (OR 2.63, 95% CI 1.35-5.16, p = 0.004) but not with any PSG parameter. In the DR group, PSG parameters were not associated with the severity of ocular disease (non-proliferative, proliferative, presence/absence of macular edema). The proliferative aspect of DR was correlated with age (p = 0.017). DR occurred more frequently in uncontrolled diabetes compared to well-controlled diabetes (80% vs 38%, p = 0.029). CONCLUSIONS: In patients with T2D, the presence of DR is not associated with OSA, but with poorly controlled T2D.

Endocrine disorders in obstructive sleep apnoea syndrome: A bidirectional relationship.

Obstructive sleep apnoea (OSA) is a common disorder characterized by recurrent episodes of apnoea or hypopnea due to total or partial pharyngeal collapse and temporary upper airway obstruction during sleep. The prevalence of OSA is increasing and currently affects about 30% of men and 13% of women in Europe. Intermittent hypoxia, oxidative stress, systemic inflammation, and sleep fragmentation resulting from OSA can provoke subsequent cardiometabolic disorders. The relationships between endocrine disorders and OSA are complex and bidirectional. Indeed, several endocrine disorders are risk factors for OSA. Compared with the general population, the prevalence of OSA is increased in patients with obesity, hypothyroidism, acromegaly, Cushing syndrome, and type 1 and 2 diabetes. In some cases, treatment of the underlying endocrine disorder can improve, and occasionally cure, OSA. On the other hand, OSA can also induce endocrine disorders, particularly glucose metabolism abnormalities. Whether continuous positive airway pressure (CPAP) treatment for OSA can improve these endocrine disturbances remains unclear due to the presence of several confounding factors. In this review, we discuss the current state-of-the-art based on the review of the current medical literature for key articles focusing on the bidirectional relationship between endocrine disorders and OSA and the effects of treatment. Screening of OSA in endocrine patients is also discussed, as it remains a subject of debate.

Impact of Desaturation Patterns versus Apnea-Hypopnea Index in the Development of Cardiovascular Comorbidities in Obstructive Sleep Apnea Patients.

Various phenotypes of obstructive sleep apnea (OSA) have been recently described and are poorly assessed by the commonly used polysomnographic indices, such as the apnea-hypopnea index and oxygen desaturation index. Nocturnal hypoxemia is the hallmark of OSA and new quantitative markers, as hypoxic burden or desaturation severity, have been shown to be associated with cardiovascular (CV) mortality. The purpose of this overview is to review the endophenotypical and clinical characteristics of OSA, the current metrics, and to analyze different measurements of hypoxemia in OSA to predict the cardiovascular impact (eg hypoxic burden). Potential interest of multidimensional models to classify OSA, such as BAVENO classification, is also discussed, with the goal of focusing on specific endophenotypes that are likely to develop CV comorbidities, in order to guide clinicians to more aggressive management of OSA in these individuals.

Tailored individual Yoga practice improves sleep quality, fatigue, anxiety, and depression in chronic insomnia disorder.

BACKGROUND: Chronic insomnia disorder (CI) is a prevalent sleep disorder that can lead to disturbed daytime functioning and is closely associated with anxiety and depression. First-choice treatment is cognitive behavioral therapy (CBT-I). Other mind-body interventions, such as Tai-chi and Yoga, have demonstrated subjective improvements in sleep quality. The purpose of this study was to assess the efficacy of Yoga for improvement of subjective and objective sleep quality as well as measures of anxiety, depression, sleepiness, and fatigue in patients with CI. METHODS: Adults with CI were prospectively included in this single group pre-post study. Baseline assessments included home polysomnography (PSG), 7-day actigraphy, and questionnaires (Pittsburgh Sleep Quality Index questionnaire (PSQI), Hospital Anxiety Depression scale (HADS), Epworth Sleepiness Scale (ESS), Pichot fatigue scale (PS)). Patients practiced Viniyoga, an individualised Yoga practice with daily self-administered exercises, for 14 weeks. Assessments were repeated at the end of Yoga practice. RESULTS: Twenty-one patients completed the study. Objective sleep measurements revealed no change in PSG parameters after Yoga practice, but a decrease in arousals on actigraphy (p < 0.001). Subjective symptoms improved for all questionnaires (PSQI, p < 0.001; HAD-A, p = 0.020, HAD-D, p = 0.001, ESS, p = 0.041, PS, p = 0.010). In univariate correlations, decrease in PSQI was associated with increase in sleep stage N3 (p < 0.001) on PSG. CONCLUSIONS: We have demonstrated a positive impact of individualized Yoga practice on subjective parameters related to sleep and daytime symptoms in CI, resulting in fewer arousals on actigraphy. Yoga could be proposed as a potentially useful alternative to CBT-I in CI, as it is easy to practice autonomously over the long-term. However, given the design of the present study, future prospective controlled studies should first confirm our results. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03314441 , date of registration: 19/10/2017.

Telemonitoring for the Follow-Up of Obstructive Sleep Apnea Patients Treated with CPAP: Accuracy and Impact on Therapy.

Continuous positive airway pressure (CPAP) telemonitoring (TMg) has become widely implemented in routine clinical care. Objective measures of CPAP compliance, residual respiratory events, and leaks can be easily monitored, but limitations exist. This review aims to assess the role of TMg in CPAP-treated obstructive sleep apnea (OSA) patients. We report recent data related to the accuracy of parameters measured by CPAP and try to determine the role of TMg in CPAP treatment follow-up, from the perspective of both healthcare professionals and patients. Measurement and accuracy of CPAP-recorded data, clinical management of these data, and impacts of TMg on therapy are reviewed in light of the current literature. Moreover, the crucial questions of who and how to monitor are discussed. TMg is a useful tool to support, fine-tune, adapt, and control both CPAP efficacy and compliance in newly-diagnosed OSA patients. However, clinicians should be aware of the limits of the accuracy of CPAP devices to measure residual respiratory events and leaks and issues such as privacy and cost-effectiveness are still a matter of concern. The best methods to focus our efforts on the patients who need TMg support should be properly defined in future long-term studies.

Pressure adjustment is the most useful intervention for improving compliance in telemonitored patients treated with CPAP in the first 6 months of treatment.

PURPOSE: Telemonitoring (TMg) for patients treated with continuous positive airway pressure (CPAP) is now routine care in some sleep labs. The purpose of the present study was to identify technical interventions associated with improved CPAP compliance in a real-life cohort of newly telemonitored patients with obstructive sleep apnea (OSA) during the first 6 months of treatment. METHODS: All patients with moderate-to-severe OSA (apnea-hypopnea index (AHI) ≥ 15/h) who were newly treated with CPAP were included in the study and telemonitored. A group educational session was scheduled after 1 month. Technical interventions were performed at the patient's request and during scheduled visits and the impact of each intervention on CPAP therapy compliance was collected. RESULTS: Between May 2018 and Dec 2019, 349 patients newly diagnosed with OSA were hospitalized in the sleep lab for CPAP titration and 212 patients were included (mean age 54.6 ± 13.1 years, mean BMI 31.7 ± 5.8 kg/m2, mean AHI 42.8 ± 22.0). TMg acceptance rate was 87%. Mean 6-month compliance was 275 ± 154 min, 13% stopped CPAP, and 17% were non-compliant. Correlations were observed between BMI (r = 0.15, p = 0.029), median and 95th percentile leaks (r = -0.23 and -0.18, p = 0.016 and 0.002), and CPAP compliance. During follow-up, 92 interventions were required, mainly for mask change (n = 80). Pressure modification (n = 16) was the only intervention that increased CPAP use > 30 min/night, p = 0.021. CONCLUSION: Pressure modification was the only adaptation that significantly increased CPAP compliance during the first 6 months. Remote TMg allows providing daily, accurate, and immediate feedback that could help clinicians to confirm that the CPAP treatment is effective.

IoT snoring sound detector prototype as a model of future participatory healthcare.

BACKGROUND: Traditional healthcare is centred around providing in-hospital services using hospital owned medical instruments. The COVID-19 pandemic has shown that this approach lacks flexibility to insure follow-up and treatment of common medical problems. In an alternative setting adapted to this problem, participatory healthcare can be considered centred around data provided by patients owning and operating medical data collection equipment in their homes. OBJECTIVE: In order to trigger such a shift reliable and price attractive devices need to become available. Snoring, as a human sound production during sleep, can reflect sleeping behaviour and indicate sleep problems as an element of the overall health condition of a person. METHODS: The use of off-the-shelf hardware from Internet of Things platforms and standard audio components allows the development of such devices. A prototype of a snoring sound detector with this purpose is developed. RESULTS: The device, controlled by the patient and with specific snoring recording and analysing functions is demonstrated as a model for future participatory healthcare. CONCLUSIONS: Design of monitoring devices following this model could allow market introduction of new equipment for participatory healthcare, bringing a care complementary to traditional healthcare to the reach of patients, and could result in benefits from enhanced patient participation.

High adherence to continuous positive airway pressure (CPAP) in patients with obstructive sleep apnea (OSA) in Belgium: a narrative review.

OBJECTIVES: Continuous positive airway pressure (CPAP) is the 'gold standard' treatment for moderate-to-severe obstructive sleep apnea (OSA); adherence is an important issue. The aim of this paper is to review Belgian data on CPAP users and their adherence over a period of 11 years. METHODS: Data delivered annually by the CPAP centers to the Belgian National Institute for Health Insurance (RIZIV/INAMI) were studied. Comments on these results were embedded in a narrative review. RESULTS: On 1 January 2008 27.266 Belgian patients were treated with CPAP, at the end of 2018 this number increased to 121.605. In 2018, the short-term adherence (≤3 months) to CPAP was at least twice as high compared to the United States: the CPAP termination rate in Belgium (mainly due to stop of reimbursement because adherence <4 h/night) was estimated to be 12.4%, considerably lower than the 31.1% of patients on CPAP in the United States using the device <4 h. CONCLUSION: We speculate that this good adherence might be attributed to a stringent Belgian diagnostic and treatment convention model. This model uses 'gold standard' techniques (including in-hospital polysomnography), imposes a minimum capacity of medical doctors and paramedical collaborators, a strict follow-up of the patients, multidisciplinary care and proof of competency. Taking into account the increasing number of patients, a change in the Belgian care strategy is under consideration focusing on more out-of-centre patient's management; we propose a step-by step approach with careful monitoring of the impact of changing policy on adherence.

Obstructive Sleep Apnea Syndrome Phenotyping by Cluster Analysis: Typical Sleepy, Obese Middle-aged Men with Desaturating Events are A Minority of Patients in A Multi-ethnic Cohort of 33% Women.

OBJECTIVE: Several clinical obstructive sleep apnea syndrome (OSAS) phenotypes associated with heterogeneous cardiovascular risk profiles have been recently identified. The purpose of this study was to identify clusters amongst these profiles that allow for the differentiation of patients. METHODS: This retrospective study included all moderate-to-severe OSAS patients referred to the sleep unit over a 5-year period. Demographic, symptom, comorbidity, polysomnographic, and continuous positive airway pressure (CPAP) adherence data were collected. Statistical analyses were performed to identify clusters of patients. RESULTS: A total of 567 patients were included (67% men, 54±13 years, body mass index: 32±7 kg/m2, 65% Caucasian, 32% European African). Five clusters were identified: less severe OSAS (n=172); healthier severe OSAS (n=160); poorly sleeping OSAS patients with cardiometabolic comorbidities (n=87); younger obese men with sleepiness at the wheel (n=94); sleepy obese men with very severe desaturating OSAS and cardiometabolic comorbidities (n=54). Patients in clusters 3 and 5 were older than those in clusters 2 and 4 (P=0.034). Patients in clusters 4 and 5 were significantly more obese than those in the other clusters (P=0.04). No significant differences were detected in terms of symptoms and comorbidities. Polysomnographic profiles were very discriminating between clusters. CPAP adherence was similar in all clusters but, among adherent patients, daily usage was more important in cluster 1 (less severe patients) than in cluster 5. CONCLUSION: This study highlights that the typical sleepy obese middle-aged men with desaturating events represent only a minority of patients in our multi-ethnic moderate-to-severe OSAS cohort of 33% females.

Photoplethysmography in Normal and Pathological Sleep.

This article presents an overview of the advancements that have been made in the use of photoplethysmography (PPG) for unobtrusive sleep studies. PPG is included in the quickly evolving and very popular landscape of wearables but has specific interesting properties, particularly the ability to capture the modulation of the autonomic nervous system during sleep. Recent advances have been made in PPG signal acquisition and processing, including coupling it with accelerometry in order to construct hypnograms in normal and pathologic sleep and also to detect sleep-disordered breathing (SDB). The limitations of PPG (e.g., oxymetry signal failure, motion artefacts, signal processing) are reviewed as well as technical solutions to overcome these issues. The potential medical applications of PPG are numerous, including home-based detection of SDB (for triage purposes), and long-term monitoring of insomnia, circadian rhythm sleep disorders (to assess treatment effects), and treated SDB (to ensure disease control). New contact sensor combinations to improve future wearables seem promising, particularly tools that allow for the assessment of brain activity. In this way, in-ear EEG combined with PPG and actigraphy could be an interesting focus for future research.

Validation of the Withings Sleep Analyzer, an under-the-mattress device for the detection of moderate-severe sleep apnea syndrome.

STUDY OBJECTIVES: To assess the diagnostic performance of a nonintrusive device placed under the mattress to detect sleep apnea syndrome. METHODS: One hundred eighteen patients suspected to have obstructive sleep apnea syndrome completed a night at a sleep clinic with a simultaneous polysomnography (PSG) and recording with the Withings Sleep Analyzers. PSG nights were scored twice: first as simple polygraphy, then as PSG. RESULTS: Average (standard deviation) apnea-hypopnea index from PSG was 31.2 events/h (25.0) and 32.8 events/h (29.9) according to the Withings Sleep Analyzers. The mean absolute error was 9.5 events/h. The sensitivity, specificity, and area under the receiver operating characteristic curve at thresholds of apnea-hypopnea index ≥ 15 events/h were, respectively, sensitivity (Se)15 = 88.0%, specificity (Sp)15 = 88.6%, and area under the receiver operating characteristic curve (AUROC) 15 = 0.926. At the threshold of apnea-hypopnea index ≥ 30 events/h, results included Se30 = 86.0%, Sp30 = 91.2%, AUROC30 = 0.954. The average total sleep time from PSG and the Withings Sleep Analyzers was 366.6 (61.2) and 392.4 (67.2) minutes, sleep efficiency was 82.5% (11.6) and 82.6% (11.6), and wake after sleep onset was 62.7 (48.0) and 45.2 (37.3) minutes, respectively. CONCLUSIONS: Withings Sleep Analyzers accurately detect moderate-severe sleep apnea syndrome in patients suspected of sleep apnea syndrome. This simple and automated approach could be of great clinical value given the high prevalence of sleep apnea syndrome in the general population. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Validation of Withings Sleep for the Detection of Sleep Apnea Syndrome; URL: https://clinicaltrials.gov/ct2/show/NCT04234828; Identifier: NCT04234828.

High SARS-CoV-2 Seroprevalence in Healthcare Workers in Bukavu, Eastern Democratic Republic of Congo.

Among 359 healthcare workers (HCW) employed in Panzi General Referral Hospital located in Bukavu in the Democratic Republic of Congo, 148 (41.2%) tested positive for SARS-CoV-2 antibodies. Thirty-three (22.3%) of the 148 personnel with positive serology reported symptoms evoking a prior COVID-19 illness. None of the infected HCWs reported COVID-related hospitalization, and all of them recovered. Our findings indicate high and underestimated circulation of SARS-CoV-2 within the Bukavu area.