Open Access, Research Article, Volume 4, Issue 1

Chest CT imaging features of HIV/sars-cov-2 infected patients from the capital of Amazonas state

Taynná Vernalha Rocha Almeida¹; Sildomar Queiroz e Silva²; Daniella Paula Dias Coelho²; Jackeline Andressa Barbiero³; Maria Gabriela Teles de Moraes³; Isadora Frota Hagge³; Vanessa Vieira Pinheiro Corrêa⁴; Sabrina Araújo de Melo²; Alessandra Maria Paiva Gomes¹; Daniela Carla Menezes Genuíno³; Carlos Henrique Michiles Frank⁵; Paula Bonates Bessa⁵; Monique Freire dos Reis2,6; Michele de Souza Bastos1,5; Paulo Nogueira5,7*; Luiz Carlos de Lima Ferreira¹

¹Programa de Pós-graduação em Ciências da Saúde, Universidade Federal do Amazonas. Manaus, Amazonas, Brazil.
²Departamento de Ensino e Pesquisa (Fundação Centro de Controle de Oncologia do Amazonas).
³Instituto Metropolitano de Ensino – FAMETRO. Manaus, Amazonas, Brazil.
⁴Universidade do Estado do Amazonas. Manaus, Amazonas, Brazil.
⁵Fundação de Medicina Tropical Doutor Heitor Vieira Dourado. Manaus, Amazonas, Brazil.
⁶Departamento de Patologia e Medicina Legal (Universidade Federal do Amazonas).
⁷Fundação Oswaldo Cruz - Instituto Leônidas e Maria Deane. Manaus, Amazonas, Brazil.

Paulo Nogueira

Fundação de Medicina Tropical Doutor Heitor Vieira Dourado. Manaus, Amazonas, Brazil.
Email: paulo.nogueira@fiocruz.br

Received : Jan 24, 2024, Accepted : Mar 27, 2024
Published : ApriApr 03, 2024, Archived : www.jclinmedcasereports.com

Abstract

The impact of the COVID-19 pandemic caused by SARS-CoV-2 on global public health, emphasizing its severity and the efforts made to enhance diagnostic practices and clinical management. Chest computed tomography (CT) has been widely used to assess complications caused by the virus, particularly in patients coinfected with HIV.

The study evaluated 29 chest CT scans, comparing HIV+ and HIV- patients. Among HIV+ patients, 66.7% reported regular antiretroviral therapy, and 43.8% had a CD4+ T cell count below 200 cells/mm3. Coinfections were observed, including neurotoxoplasmosis and pulmonary tuberculosis. Clinical outcomes showed that 90% of patients were discharged, 3.5% were transferred, and 7% died, all of whom were HIV+. CT findings revealed that HIV+ patients exhibited fewer ground-glass opacities, but a higher rate of consolidation. The severity score was lower in HIV+ patients, with the lower lobes of HIV- patients more affected. The text also discusses the variability in CT manifestations in HIV patients, highlighting the importance of considering previous conditions.

The study suggests that HIV-related immunosuppression may paradoxically protect against severe COVID-19 manifestation, but low CD4 counts (< 200 cells/μL) can predispose patients to more severe forms of the disease. However, the study acknowledges limitations, such as a small sample size and the need for follow-up CT examinations to understand the complete disease course.

Copy right Statement: Content published in the journal follows Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0). © Nogueira P (2024).

Citation: Almeida TVR; e Silva SQ; Coelho DPD; de Almeida APF; Barbiero JA; et.al.,. Chest CT imaging features ofHIV/sars-cov-2 infected patients from the capital of Amazonas state. J Clin Med Images Case Rep. 2024; 4(1): 1660.
Introduction

The COVID-19 pandemic caused by SARS-CoV-2 has become a major issue in the global public health sphere due to its high morbidity and mortality rates [1]. Since the initial global outbreak in December 2019 in the Chinese city of Wuhan, efforts have been made to gather evidence for improved diagnostic practices, clinical management, and healthcare attention. In the quest to assess complications caused by the novel coronavirus and to rule out other diagnoses, chest computed tomography (CT) has been widely employed [2]. However, there is a scarcity of data exploring the main CT findings in patients coinfected with the human immunodeficiency virus (HIV) and SARS-CoV-2.

It is believed that the presence or absence of lung lesions observed through chest CT in COVID-19 patients correlates with the severity of the infection and potential complications arising from pre-existing comorbidities [3]. The main CT findings reported in the literature to date, in descending order, include ground-glass opacities, ground-glass opacities associated with thickening of interlobular septa, characterizing a mosaic pattern, and ground-glass opacities associated with consolidations [4]. In the same analysis, there are also numerous pulmonary complications related to opportunistic diseases associated with HIV, and their manifestations vary according to the patient's degree of immunosuppression and the type of opportunistic diseases presente [5].

Successful diagnosis of these diseases depends not only on a thorough clinical history but also on the CT findings, which can be highly suggestive and often establish a probable diagnosis. Therefore, this study aims to assess HIV+ patients hospitalized for COVID-19 and analyze the presence or absence of patterns in these CT findings when compared to HIV- patients.

Materials and methods

Patients: Patients with confirmed SAR-CoV-2 infection through RT-PCR, rapid test, or serological testing, who were hospitalized at the Dr. Heitor Viera Dourado Tropical Medicine Foundation (FMT-HVD), were evaluated in two groups based on the presence or absence of HIV coinfection. This retrospective study received approval from the Human Research Ethics Committee of FMT-HVD (CAAE: 32785620.6.0000.0005, opinion number: 4.061.526).

Imaging acquisition: Within 24 hours of hospital admission, all individuals underwent a CT scan (Revolution CT – GE HealthCare) following a standard chest protocol, without the use of intravenous contrast. The patient was positioned in the dorsal decubitus with arms raised and instructed to hold their breath during acquisition to include the total lung volume. The scan time was approximately 2 seconds, and the slice thickness for reconstruction was 1.25 mm. The lung window configuration had a window level of -600 Hounsfield Units (HU) and a window width of +1500 HU.

Imaging evaluation: The CT images were assessed for the following characteristics: distribution of peripheral or peribronchovascular findings; presence of ground-glass opacities, mixed opacities, or consolidations only; presence of mosaic pattern or reversed halo sign; presence of air bronchogram, interlobular septal thickening, and cavities. These findings were classified according to the consensus recommendation of the North American Society for reporting chest CT findings related to COVID-19 [1].

 Image is Not Display Check It
Figure 1: Descriptive images of both patient groups and various findings.

Table 1: General characteristics of the evaluated patients.
Clinical Data HIV + HIV -
N = 16 N = 13
Age* 39 (22-62) 53 (21-69)
Gender# 9F (56.3%) 9F (69.2%)
7M (43.8%) 4M (30.8%)
Days of symptom onset 8.5 (3-14) 7.5 (4-15)
Symptoms
Fever 12 (75%) 10 (76.9%)
Dry cough 9 (56.3%) 10 (76.9%)
Productive cough 2 (12.5%) -
Dyspnea 12 (75%) 12 (92.3%)
Diarrhea 7 (43.8%) 3 (23.1%)
Vomiting 3 (18.8%) 3 (23.1%)
Dysgeusia 2 (12.5%) -
Asthenia 3 (18.8%) 3 (23.1%)
Comorbidities
Arterial Hypertension 1 (6.3%) 9 (81.8%)
Diabetes 3 (18.8%) 6 (54.5%)
Obesity 1 (6.3%) 2 (18.2%)
Asthma 1 (6.3%) -
Oxygenation support
Mechanical ventilation - 1 (7.7%)
Low-flow nasal cannula 5 (31.3%) 7 (53.8%)

*median (range) #F: female, M: male.

All CT scans were evaluated by two radiologist physicians. The visual quantitative assessment of CT was based on the summary of acute inflammatory lung lesions involving each lobe, scored as none (0%), minimal (1–25%), mild (26–50%), moderate (51–75%), or severe (76–100%) involvement, with corresponding scores of 0, 1, 2, 3, or 4. The total severity score was calculated by summing the five scores for each lobe to quantify the extent of COVID-19 based on previously published studies (3,7–9). For each patient, the "total severity score" of the CT was presented in the range of 0 to 20.

Statistical analysis: Data were tabulated in a database created by researchers using the Research Electronic Data Capture (RedCap) software, version 8.11.7. Descriptive analysis, with mean and standard deviation for normally distributed numeric variables and median for others, as well as the comparison between categorical variables using Pearson's Chi-square test (significance level of 5%), were conducted using GraphPadPrism software (v7.0).

Results

Clinical data: A total of 29 chest CT scans were evaluated, with 16 from HIV+ patients (55%) and 13 from HIV- patients (45%). Among the HIV+ patient group, 10 (66.7%) reported regular use of antiretroviral therapy, and 7 (43.8%) had a CD4+ T cell count below 200 cells/mm3. Complete values for CD4+ T cell count and viral load, as well as the therapeutic regimen, can be found in Supplementary Table 1. Tables 1 and 2 present the compiled data for both patient groups.

Regarding coinfections, whether concurrent or not, 2 patients (20%) had neurotoxoplasmosis, 5 patients (50%) had pulmonary tuberculosis, 1 patient (10%) had Pneumocystis pneumonia, 2 patients (20%) had bacterial pneumonia, and 7 patients (70%) had oropharyngeal candidiasis. In the overall clinical outcome of the study, 26 patients (90%) were discharged, 1 (3.5%) was transferred to another institution, and 2 (7%) died, all of whom were HIV+. The average length of hospital stay was 22 days for HIV+ and 10 days for HIV-.

Chest CT: Of the 29 evaluated patients, 17 (58.6%) presented ground-glass opacities without consolidations, predominantly distributed peripherally. As expected, additional findings unrelated to COVID-19 were more frequently encountered in HIV+ patients. Detailed images are presented in Figure 1. A comprehensive comparative description of the CT evaluations can be found in Table 3.

Table 2: Laboratory data of the evaluated patients.
Laboratory Data HIV + HIV -
Median (05 and 95 interquartile)
White blood cell (4-10 × 103/mm3) 6 (4.1 – 14.3) 11 (4.4 – 14)
Hemoglobin (12.5-15.5 g/dL) 13 (7.8-13.8) 14 (8.6-15.2)
Platelets (150-450 ×103/mm3) 249 (186 -347) 231 (146 -328)
Alkaline phosphatase (65- 300 IU/L) 340 (193-617) 222 (140-302)
 Image is Not Display Check It
Figure 2: Classification of COVID-19 pneumonia by CT.

Table 3: CT features in the twenty-nine patients with SARSCoV-2.
Parameters HIV + HIV -

N = 16 N = 13
Chest CT features
Ground-glass opacity only 8 (50%) 9 (69.2%)
Consolidation only 6 (37.5%) 2 (15.4%)
Mixed opacity 2 (12.5%) 1 (7.7%)
Crazy paving pattern - 2 (15.4%)
Reversed halo sign 1 (6.25%) -
Lesion distribution area

Peripheral distribution 8 (50%) 8 (61.6%)
Peribronchial distribution 2 (12.5%) 2 (15.4%)
Diffuse distribution 6 (37.5%) 3 (23.0%)
Additional findings
Air bronchogram 2 (12.5%) 2 (15.4%)
Centrilobular nodules 3 (18.8%) -
Budding tree 1 (6.3%) -
Cavitation 1 (6.3%) -
Pleural effusion 2 (12.5%) 1 (7.7%)
Pulmonary emphysema 1 (6.3%) -
 Image is Not Display Check It
Figure 3: Lobular involvement in COVID-19. Adjacent, degree of involvement graded from 0 to 4

Regarding COVID-19 pneumonia, the classification result was statistically distinct (p=0.0351) between the evaluated groups and is presented in Figure 2. The involvement of COVID-19 lesions, distributed by lung lobe (Figure 3), mostly showed the lowest score (black) in HIV+ patients, with an average total severity score of 6.08, compared to 9.91 for HIV-. Regarding lobar involvement, there was a significant difference between groups in both lower lobes (right p=0.0439; left p=0.0380).

Discussion

Herein, we presented the case series of hospitalized HIV patients with COVID‐19 in a single hospital in the capital of Amazonas State. The clinical characteristics of COVID-19 did not appear to differ from those of the general population. However, atypical CT abnormalities representing COVID‐19 pneumonia were found between HIV+ and HIV- patients, differing of previuosly publications [6].

In our study, the presentation only with ground-glass opacities was less in HIV + patients (50%) than in HIV- patients (69.2%), as well as less in relation to the meta-analysis carried out by Lee et. al. [7] which demonstrated ground-glass opacities in HIV + patients in a range from 68.8% (severe disease) to 72.2% (mild to moderate disease). However, the presentation with consolidation alone was much higher in HIV + patients (37.5%) compared to HIV- (15.4%) in the present study, as well as in the review article by Awulachew et. al. [8] in the general population (22 %). HIV patients have a higher incidence of bacterial pneumonia, which is inversely proportional to the CD4 T cell count, when compared to the general population. Thus, bacterial pneumonia overlaid with COVID-19 is an important consideration.

Bilateral distribution of ground glass opacities (GGO) with or without consolidation in posterior and peripheral lungs was the overriding indication of COVID-19 (9). Nonetheless, with further analysis of accelerating cases, a diversity of interesting CT imaging features was found, including crazy paving pattern, airway changes, reversed halo sign etc., which can shed light on the possible mechanism of lung injury in COVID-19 [3,4,10,12].

Regarding illness involvement, our sample shows a statistical significance difference between HIV+ and HIV- group in both inferior lobes. The lower lobes of HIV- patients were more affected than that of HIV + patients. In reviewing and analyzing the CT features of 62 cases of COVID-19 pneumonia, Zhou et al. (13) found that cases were most frequently seen to manifest as multiple lesions on the initial CT scan (83.9%); however, 16.1% of cases manifested as single lesion, and of those cases, 70.0% occurred within the inferior lobe of the proper lung. The authors further state that in comparison with early-phase disease, advanced-phase disease was related to a significantly increased frequency of GGO plus a reticular pattern, vacuolar sign, fibrotic streaks, air bronchogram, bronchus distortion, a subpleural line, a subpleural transparent line, and pleural effusion, but GGO was significantly decreased.

HIV + patients had a lower severity score. As in the Awulachew et. al. [8] study, HIV- patients showed greater involvement of the right lung. HIV + patients had a greater impairment of the left lung. While in HIV-patients the left upper lobe was more affected, in HIV + patients it was the most spared.

It is worth mentioning that there is a wide range of CT manifestations in HIV patient. The Pneumocystis carinii pneumonia, for example, has characteristics such as ground-glass opacity, scattered and ill-defined nodules, thickening of interstitial and interlobular septa, and irregular areas of air space consolidation. Pulmonary tuberculosis, on the other hand, presents classic findings such as infiltration in the upper lobe, endobronchial dissemination and excavations, in early stages, and diffuse infiltrates, multiple nodules, miliary lesions and mediastinal adenopathies, with border enhancement on CT with contrast in more severe phases. Fungal infections, in turn, have characteristics according to the type of infection, such as: candida, with nodules and lung cavities; cryptococcal pneumonia, with nodules, reticulonodular infiltration and mediastinal adenopathy; histoplasmosis, with small nodules; blastomycosis, with larger nodules, cavities and alveolar, interstitial and reticulonodular infiltrates associated or not with adenopathy. Bacterial infections can present findings such as: lobar and multilobe foci, cavitation, pulmonary necrosis and empyema and, in bacillary angiomatosis, endobronchial lesions, pulmonary nodules, mediastinal adenopathy, pleural disease and masses in the chest wall [5].

Gervasoni et al. [14] described 47 HIV-positive patients hospitalized by COVID-19 and concluded that HIV patients were not at greater risk of severe disease or death than HIV-negative patients. Motta et al. [15] compared 69 patients with SARS-CoV-2/ TB coinfections, although they might not show TB as a serious predictor of mortality in these patients. However, patients with previous lung disease like treated or untreated TB could affect the prognosis of patients with COVID-19, making greater vigilance necessary during outpatient follow-up [16].

The number of coinfection cases does not indicate that people living with HIV (PLWH) are at an elevated risk of COVID19 infection. A case study of five PLWH and COVID-19 showed that they were admitted at a younger age, but had positive clinical results overall [17]. Antiviral agents such as remdesivir, tenofovir, and lopinavir had antiviral activity against SARS-CoV-2 in previous studies, which led to the hypothesis that ART may provide defense against COVID19 in PLWH [18]. Despite many reports that certain antiviral agents boost COVID-19 symptoms [1], standard ART does not appear to protect PLWH from COVID19 at this time [19,20].

From our small sample, two HIV + patients died. Given the immune system is significant contribution to the severity of COVID-19, especially the massive release of cytokines and chemokines, previous studies indicated that HIV-related immunosuppression could paradoxically protect against severe COVID-19 manifestation [21,22]. However, according to Kanwugu et al. [23], there is a clear connection between immune suppression (CD4 counts of less than 200 cells per μL) and increased disease severity (n = 119; 2 = 7.772; P =.005) despite of the clinical outcome not significant (n = 109; 2 = 1.191; P=.275). In a large population-based study using data from the OpenSAFELY platform in England [24], after accounting for demographic characteristics and lifestyle-related factors, PLWH are at more than double the risk of COVID-19 death as people without HIV. Any role HIV may play in raising the risk of infection or the development of severe disease is effectively ruled out by the inclusion of only hospitalized individuals who have already been infected with SARS-COV-2 and are likely to have severe disease at the time of inclusion [25]. In summary, contrary to earlier suggestions that coinfection patients may have mortality benefits from HIV‐related immunosuppression, low CD4 counts of less than 200 cells per μL can predispose them to more severe forms of the disease.

Conclusion

The following limitations of the present study should be mentioned: the number of cases is small; this is a case series of patients admitted to a tropical disease hospital with coinfections or prior illness; statistical tests and p values should be interpreted with caution because of the small sample size. Thus, studies that include follow-up CT examinations are needed to investigate the entire course of the disease.

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