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Introduction: Since December 2019, a novel coronavirus (SARS-CoV-2) has triggered a global pandemic with a heavy medical and societal-economic toll. The health consequences were not similar during the successive waves that affected several countries. The aim of our study was to compare the sociodemographic, clinical and evolutionary features of COVID-19 patients hospitalized at the Military Hospital of Tunis (HMPIT) during the 2nd and 3rd waves that affected the country. Patients and methods: Observational prospective study involving 1,527 COVID-19 patients hospitalized at HMPIT over 11 months, divided into two periods: from July 2020 to December 2020 called the second wave (V2) and from January 2021 to May 2021 called the third wave (V3). We compared the epidemiological data, the clinical form and the evolution of the patients for each period. Results: The number of hospitalized patients was 636 during V2 compared to 891 during V3. Average age was 63.5 ± 15.3 years during V2 versus 65.8 ± 17.8 years during V3 (P = not significant [NS]). The percentage of young adults [18-40 years] was 6.5% during V2 compared to 6.7% during V3 (P = NS). The gender ratio (M/F) was 1.59 for V2 and 1.42 for V3 (P = NS). Comorbidities were present in 65% of V2 patients and 66.3% of V3 patients (P = NS), with hypertension being the most prevalent one in both groups (47.2% for V2 versus 44.9% for V3; P = NS), followed by overweight, dyslipidemia and diabetes (33% for V2 versus 39.3% for V3; P = 0.012). The median duration between symptoms onset and hospitalization was 7 days [5-10] during V2 versus 8.5 days during V3 [5-12] (P = 0.0004). The severe clinical form was present in 49% of patients admitted during V2 compared to 34.8% during V3 (P < 10-3). The critical form represented 18.6% of cases during V2 against 16.8% during V3 (P = NS). The average hospital length of stay in COVID units (outside of intensive care unit) was 8.4 ± 5.4 days during V2 and 9.8 ± 5.7 days during V3. The average length of stay was significantly longer for the intensive care unit (11.3 ± 3.4 days for V2 versus 13.8 ± 3.9 days for V3; P = 0.01). The case fatality rate was 24.5% during V2 and 20.7% during V3 (P = NS). Median age of death was 70.2 years [42-88] during V2 and 70.4 years [22-96] during V3 with 2 patients less than 40 years of age (1%) for the latter period. The gender ratio (M/F) of deceased patients was 3.21 for V2 and 1.5 for V3 (P = 0.001). The case fatality rate was higher in the intensive care unit (65.4% for V2 versus 69.7% for V3; P = NS). Causes of death were dominated by ARDS (acute respiratory distress syndrome) for both periods (55.1% for V2 versus 70.8% for V3; P = 0.002), followed by septic shock (12.8% for V2 versus 10.8% for V3; P = NS) and multi-organ failure (9.6% for V2 versus 7.0% for V3; P = NS). Conclusion: This study revealed a decrease in severe and critical clinical forms during the 3rd wave, as well as a decrease in the case fatality rate compared to the previous wave, due to improved management and vaccination. On the other hand, the percentage of ARDS was significantly higher during this wave probably related to the beginning of circulation in our country of the Delta variant causing more severe clinical cases.
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COVID-19 , Síndrome de Dificultad Respiratoria , Adulto Joven , Humanos , Persona de Mediana Edad , Anciano , COVID-19/epidemiología , SARS-CoV-2 , Túnez/epidemiología , Estudios Prospectivos , HospitalizaciónRESUMEN
BACKGROUND: The outbreak of coronavirus disease (COVID-19) continues to constitute an international public health concern. Few data are available on the duration and prognostic factors of the disease. We aimed to study the recovery time among a Tunisian cohort of COVID-19 confirmed patients and identify the prognostic factors. METHODS: A retrospective, nationwide study was conducted from March 2 to May 8, 2020, recruiting all patients who were diagnosed with COVID-19, by RT-PCR methods, in Tunisia. Data were collected via phone call interview. Kaplan-Meir Methods and Cox proportional hazards regression models were, respectively, used to study the recovery time and estimate its prognostic factors. RESULTS: One thousand and thirty patients with COVID-19 (aged 43.2 ± 18.2 years, 526 female (51.1%)) were enrolled. Among them 141 (14.8%) were healthcare professionals. Out of 173 patients (17.8%) admitted to the hospital, 47 were admitted in an intensive care unit. Among 827 patients who didn't require specialized care, 55.5% were self-isolated at home, while the rest were in specialized centers. Six hundred and two patients were symptomatic. A total of 634 (61.6%) patients have recovered and 45 (4.4%) patients died. The median duration of illness was estimated to be 31 days (95% CI: [29-32]). Older age (HR = 0.66, CI:[0.46-0.96], P = 0.031) and symptoms (HR = 0.61, CI:[0.43-0.81], P = 0.021) were independently associated with a delay in recovery time. Being a healthcare professional (HR = 1.52, CI: [1.10-2.08], P = 0.011) and patients in home isolation compared to isolation centers (HR = 2.99, CI: [1.85-4.83], P < 10¯3) were independently associated with faster recovery time. CONCLUSION: The duration of illness was estimated to be 1 month. However, this long estimated duration of illness may not equate to infectiousness. A particular attention must to be paid to elderly and symptomatic patients with closer monitoring.
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COVID-19/diagnóstico , Adolescente , Adulto , Factores de Edad , Anciano , COVID-19/epidemiología , COVID-19/mortalidad , COVID-19/virología , Niño , Brotes de Enfermedades , Femenino , Hospitalización/estadística & datos numéricos , Humanos , Masculino , Persona de Mediana Edad , Pronóstico , Modelos de Riesgos Proporcionales , ARN Viral/metabolismo , Estudios Retrospectivos , SARS-CoV-2/genética , SARS-CoV-2/aislamiento & purificación , Tasa de Supervivencia , Túnez/epidemiología , Adulto JovenRESUMEN
PURPOSE: To analyze the macular microvascular network and the correlations between visual acuity and quantitative parameters using optical coherence tomography angiography (OCTA) in eyes with retinal vein occlusion (RVO). METHODS: We conducted a prospective cross-sectional study including patients with unilateral RVO. We performed 4.5 mm × 4.5 mm macular OCTA angiograms for assessment of quantitative parameters in both superficial and deep capillary plexuses (SCP, DCP). Area of foveal avascular zone (FAZ), vascular density (VD), skeleton density (SD), fractal dimension (FD), vessel diameter index (VDI), and lacunarity (LAC) were analyzed. RESULTS: Seventy eyes of 35 patients were enrolled. As compared to fellow eyes, OCTA analysis in eyes with RVO showed larger FAZ, lower VD, lower SD, lower FD, higher VDI, and increased LAC in both plexuses (All P < 0.05). The enlargement of FAZ in the SCP was associated with visual loss (P = 0.025, r = 0.378). In the DCP, visual acuity was negatively correlated with parafoveal VD, SD, and FD (P = 0.004, r = -0.472; P = 0.003, r = -0.482 and P = 0.036, r = -0.308, respectively). Stepwise multivariate regression analysis showed that lower SD and lower FD in the DCP remained correlated with poorer visual acuity (P = 0.04, r = -0.261 and P = 0.032, r = -0.264, respectively). CONCLUSIONS: OCTA provides quantitative parameters to analyze retinal microvasculature in eyes with RVO. These OCTA biomarkers could be used to predict the impact of macular ischemia and capillary dropout on visual acuity in RVO.
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BACKGROUND: Describing transmission dynamics of the outbreak and impact of intervention measures are critical to planning responses to future outbreaks and providing timely information to guide policy makers decision. We estimate serial interval (SI) and temporal reproduction number (Rt) of SARS-CoV-2 in Tunisia. METHODS: We collected data of investigations and contact tracing between March 1, 2020 and May 5, 2020 as well as illness onset data during the period February 29-May 5, 2020 from National Observatory of New and Emerging Diseases of Tunisia. Maximum likelihood (ML) approach is used to estimate dynamics of Rt. RESULTS: Four hundred ninety-one of infector-infectee pairs were involved, with 14.46% reported pre-symptomatic transmission. SI follows Gamma distribution with mean 5.30 days [95% Confidence Interval (CI) 4.66-5.95] and standard deviation 0.26 [95% CI 0.23-0.30]. Also, we estimated large changes in Rt in response to the combined lockdown interventions. The Rt moves from 3.18 [95% Credible Interval (CrI) 2.73-3.69] to 1.77 [95% CrI 1.49-2.08] with curfew prevention measure, and under the epidemic threshold (0.89 [95% CrI 0.84-0.94]) by national lockdown measure. CONCLUSIONS: Overall, our findings highlight contribution of interventions to interrupt transmission of SARS-CoV-2 in Tunisia.