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. 2020 Jun 5;15(6):e0234267. doi: 10.1371/journal.pone.0234267

The effects of chikungunya virus infection on people living with HIV during the 2014 Martinique outbreak

Mathilde Pircher 1, Edwin Pitono 1, Sandrine Pierre-François 1, Sabine Molcard 2, Lauren Brunier-Agot 3, Laurence Fagour 4,5, Fatiha Najioullah 4,5, Raymond Cesaire 4,5, Sylvie Abel 1,5, Lise Cuzin 1,6,*, André Cabié 1,5,7
Editor: Pierre Roques8
PMCID: PMC7274814  PMID: 32503031

Abstract

Our objective was to describe the clinical presentation of chikungunya virus (CHIKV) infection in patients living with HIV (PLHIV) during the 2014 Martinique outbreak. During the outbreak and the 6 following months, all PLHIV coming in our unit for a medical evaluation answered questions about potential CHIKV related symptoms, and had blood tests to assess the diagnosis. For patients coming in at the acute phase of infection, we are able to provide and analyze CD4+, CD8+ T-cells and HIV viral load evolution before, during and after CHIK infection. Among the 1 003 PLHIV in care in the center at the time of the outbreak, 188 (94 men and 94 women) had confirmed (following the WHO definition) CHIKV infection. Clinical presentation was common in 63% of the cases, severe and atypical forms were scarce. During the acute phase, CD4+ and CD8+ T-cells (evaluated in 30 PLHIV, 15 men and 15 women) absolute numbers dropped significantly, but returned to pre-CHIKV values after the acute phase. Reassuringly, CD4 and CD8 T cells proportions did not decrease during the acute phase. CHIKV infection had no significant impact on this anti-retroviral treated population.

Introduction

Chikungunya virus (CHIKV) is an alphavirus of the Togaviridae family, transmitted to humans by Aedes mosquitoes. The Martinique and Guadeloupe 2014 outbreak started in December 2013, lasted till December 2014 and affected about 40% of the population [1]. The effects of CHIKV infection in people living with HIV (PLHIV) have rarely been described, despite the fact that these infections share common geographic distributions [2, 3]. The objective of this study was to describe the clinical manifestations of confirmed symptomatic CHIKV infection in PLHIV living in Martinique and the potential impact of chikungunya on HIV infection.

Material and methods

Background information

Martinique is an overseas territory of the French West Indies. This island of 11 00 km2 has a population of 378 243 inhabitants; 19% are <15 years old, 59% between 15 and 60 years old, and 22% >60 years old. The University Hospital of Martinique (UHM) is a tertiary referral center providing healthcare, teaching, and research programs. The Infectious Diseases and Tropical Medicine Unit of UHM is the only specialized resource for PLHIV in Martinique, thus almost all the 1000 PLHIV living on the island in 2014 visited the unit at least once a year. Briefly, among PLHIV in Martinique in care in 2014, 63% were men, median age was 49 years (from 15 to 80), and the most frequent way of acquisition was sexual (95%).

Study population

All patients coming for a clinical visit between December 2013 and June 2015 (thus covering the outbreak and the next 6 months) were questioned about potentially acute chikungunya related symptoms [4]. All the PLHIV who had had clinical CHIKV manifestations (at least history of fever or acute onset joint pain) during the outbreak had biological assay for CHIKV infection confirmation. WHO defines CHIKV cases as “confirmed” if patients have biological confirmation regardless of clinical presentation [5]. In this definition, biological confirmation is based on reverse transcriptase polymerase chain reaction (RT-PCR) (positive during 7 days after the onset of symptoms) and/or serology (IgM appearing around day 4 and disappearing before day 90, and IgG present from day 10). Thus, the confirmation method used in our study varied following the delay between symptoms’ onset and the date of clinical visit.

PLHIV who had had clinical CHIKV manifestations during the outbreak with biological confirmation at the time of their visit in the Infectious Diseases and Tropical Medicine Unit were included in the study. Patients who had had clinical CHIKV manifestations during the outbreak but before HIV diagnosis were excluded.

All patients with confirmed CHIKV infection were classified according to clinical form for the acute phase of CHIKV infection described by the WHO [4]. Patients were classified as having acute clinical infection if they had fever of 38.5°C or higher, acute onset joint pain, and RT-PCR positive for CHIKV. Exanthema, myalgia, back pain, headache, vomiting, and diarrhea without effect on overall general health status, were considered to be signs and symptoms usually accompanying the typical acute phase course of CHIKV infection. Patients were classified as having atypical infection if they had fever of 38.5°C or higher, acute-onset joint pain, and other manifestations such as neurological, cardiovascular, dermatological, ophthalmological, hepatic, renal, respiratory or hematological signs, decompensated diabetes mellitus, balance or walking disturbances, or concomitant infections. Patients were classified as having severe acute infection if they had fever of 38.5°C or higher, acute onset joint pain, and at least one organ or system failure that was life-threatening and required hospitalization. Patients without fever or acute-onset joint pain, or with missing data were considered to have unclassifiable infection. Patients with previous clinical diagnosis of chikungunya, with a positive chikungunya laboratory test, presenting with at least one of the following articular manifestations: pain, rigidity, or edema, continuously or recurrently after 12 weeks of the onset of the symptoms were classified as chronic form of chikungunya.

Data collection and ethics statement

The Dat’AIDS cohort (Clinicaltrials.gov reference NCT02898987) was started in 2000, including at that time all PLHIV with their previous medical history, and all new patients in care since then have become part of the cohort, after being suitably informed and providing written consent [6]. CHIKV infection clinical signs were prospectively added to the routinely collected information after additional patients’ information and consent. For PLHIV assessed during the acute CHIKV infection, we are thus able to analyze CD4 and CD8 T cell counts as well as HIV viral load before, during and after acute CHIKV infection. Data were extracted and fully anonymized for analysis on December, 1st, 2017. The database is available as supporting information (S1 Dataset).

Statistical analysis

Analysis was performed using Stata software version 12 (StataCorp LP, College Station, TX, USA). Categorical variables were summarized using frequencies and percentages and compared using Fischer-Exact test. Continuous variables were summarized using median, first and third quartiles [Q1-Q3)], and compared using non-parametric tests (Mann-Whitney test or Wilcoxon matched-pairs signed-rank test as appropriate). A P value of less than 0.05 was considered statistically significant.

Results

Among 1,003 PLHIV in care in 2015, 188 (94 men and 94 women) had a clinical and further confirmed CHIKV infection (Fig 1). The median age of the patients was 49.7 years [42.5–59.3], ranging from 19 to 86.

Fig 1. Enrolment and follow-up of the study participants.

Fig 1

Clinical manifestations of chikungunya in PLHIV

In 62.8% of the population the presentation was common (Table 1). Chronic forms were described in 21.8% of our cases. Atypical forms were described in 2 patients (thrombocytopenia < 50 G/L without bleeding, alanine aminotransferase (ALT) greater than 10 times the upper limit of normal without criteria for acute liver failure). Severe forms were described in 4 patients: congestive heart failure (2 cases), encephalopathy (1 case) and acute renal failure (1 case). No death has been reported in relation with CHIKV.

Table 1. Characteristics of CHIKV related symptoms in 188 PLHIV.

Clinical characteristics N (%)
Clinical forms Common 118 (62.8)
Atypical 2 (1.1)
Severe 4 (2.3)
Unclassifiable 64 (34.0)
Symptoms Fever (n = 162) 130 (80.3)
Arthralgia (n = 164) 158 (96.3)
Myalgia (n = 161) 51 (31.7)
Headaches (n = 161) 54 (33.5)
Skin rash (n = 161) 52 (32.3)
Other symptoms (n = 161) 43 (26.7)
Digestive symptoms (n = 161) 24 (14.9)
Evolution Hospitalization 9 (5.2)
Chronic forms 41 (21.8)

Biological confirmation was made by RT-PCR in 37 (19.6%) cases, or by serological test in 151 (80.4%). The median time between clinical manifestations and the visit during which the patients were clinically and biologically assessed was 6.1 months [1.6–10.3].

Impact of chikungunya on HIV infection

In our anti-retroviral treated patients, HIV viral load was below detection (50 copies/ml) in 86.7%, with no changes during acute CHIKV infection. No clinical HIV progression has been reported in relation with CHIKV in our population.

An HIV visit occurred in 30 cases during the acute CHIKV infection. Lymphocytes, CD4 T-cells and CD8 T-cells counts, as well as viral load assessment were available before (median delay 12.6 weeks [4.3–22.3]), during and after (median delay 7.8 weeks [2.9–16.6]) acute CHIKV infection. Median CD4+ T-cells count was 721.3/mm3 before, 428.2/mm3 during (p<0.0001 by comparison to the value before CHIKV infection) and 726.8/mm3 after the acute phase, while there was no change in CD4 percentages. The same differences have been observed in the CD8+ T-cells counts and in the total lymphocytes counts (Fig 2 and Table 2).

Fig 2. CD4+ and CD8+ T-cells evolution (absolute numbers) during CHIKV infection (Week 0: Acute CHIKV infection).

Fig 2

Table 2. Lymphocytes, CD4 and CD8 T-cells count (absolute number and %), and CD4/CD8 ratio, prior, during and after acute chikungunya infection.

Prior a During After b Pc
Lymphocytes (cells/mm3) 2060 [1683–2520] 1045 [680–1685] 1896 [1528–2480] 0.0001
CD4 T-cells, (cells/mm3) 721.3 [566.7–873.9] 428.2 [266.2–574.1] 736.5 [589.7–875.2] 0.0001
CD4 T-cells, % 32.1 [27.7–38.6] 34.4 [29.1–42.5] 33.5 [29.2–41.6] 0.34
CD8 T-cells (cells/mm3) 883.2 [598.0–1077.0] 511.5 [264.4–717.0] 781.5 [592.0–1009.0] 0.0001
CD8 T-cells, % 38.2 [29.8–45.5] 36.9 [29.4–45.0] 36.7 [29.8–43.9] 0.18
CD4/CD8 ratio 0.8 [0.6–1.0] 1.0 [0.7–1.2] 0.9 [0.7–1.2] 0.12

amedian delay 12.6 weeks [4.3–22.3], bmedian delay 7.8 weeks [2.9–16.6], ccomparison between “prior” and “during” acute chikungunya infection

Discussion

To the best of our knowledge, we provide the first description of clinical manifestations of CHIKV infection in PLHIV. The proportions of non-typical and severe forms in our population seem higher than those reported in the Reunion Island’s 2005 outbreak, in which 0.2% were non-atypical and 0.1% severe [7]. Notably we included only adult PLHIV, that differ regarding gender and age form the general Martinique population (S1 Table), while they analyzed a more global population, including pregnant women and children.

Evolution to chronic manifestations was described in 22% of our population. Evolution to chronic symptomatology has been described in 40% of the patients seen by general practitioners in relation with an acute CHIKV infection during the Caribbean outbreak [8]. This proportion was much higher after the Reunion Island outbreak [9] and in the global America’s 2014 outbreak [10]. Because the median time between acute phase and our evaluation was 6 months, a memory bias is possible. Nevertheless, because of the debilitating evolution of chronic forms we do think that this bias is of small importance. Chronic forms are more frequent in ageing patients [9, 11, 12], thus our study population may be too young to describe these forms.

The CHIKV related lymphopenia has already been described [2, 13, 14]. The absence of modification in proportions of CD4+ and CD8+ T-cells and the restauration of pre-CHIKV values in the first months after acute infection are reassuring. Furthermore, and as in a previous study [3], CHIKV infection has not been responsible for virological rebound, although our population may be too small to observe such an effect.

Although this retrospective study provides reassuring information regarding CHIKV infection in PLHIV, it clearly has limits. As stated, memory bias cannot be excluded in our study, due to the fact that a large part of the population was included after their acute CHIKV infection. Another limit is that we only performed biological confirmation in patients who presented with or remembered having had clinical manifestations, but as CHIKV infections are mostly symptomatic [10] this bias may be of small importance.

In conclusion, while CHIKV infection is a public health problem because of the debilitating chronic forms, we describe the absence of severe evolution of CHIKV in PLHIV. CHIKV induced a transient absolute lymphopenia with no clinical consequence, without change of CD4+ and CD8+ T cells proportions, and without any virological impact in treated patients.

Supporting information

S1 Dataset

(XLSX)

S1 Table

(DOCX)

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

The authors recieved no specific funding for this work.

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Decision Letter 0

Pierre Roques

8 Apr 2020

PONE-D-20-04293

The Effects of Chikungunya Virus Infection on People Living with HIV during the 2014 Martinique outbreak.

PLOS ONE

Dear Dr. Cuzin,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

they remained quite minor but as noted, it should be important to highlight the current situation of HIV prevalence in the study period and within a comparable population as requested by the reviewer.

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Reviewer #1: The relationship between arbovirus infections and HIV is understudied. This manuscript provides a much needed view to the effect of CHIKV infections on HIV patients. A population that during outbreaks will require most attention. That being said, the manuscript requires further editorial attention.

1) the numbering system used needs to be adjusted to the US numbering format.

2) Line 121, please describe that the virus load needed is the HIV.

3) in describing population , please include the upper and lower limit of the age group not just the median age.

5) A general description for the level of CHIKV infection in Martinique during the outbreak would be useful.

6) can you please include a timeline for when the questionnaires of patients were taken post the outbreak? this would help asses how much of recall bias is to be expected.

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PLoS One. 2020 Jun 5;15(6):e0234267. doi: 10.1371/journal.pone.0234267.r002

Author response to Decision Letter 0


5 May 2020

Dear Editor

Thank you for the time you and the reviewer took to assess our manuscript. We did our best to answer the wanted revisions.

Editor queries

1. It should be important to highlight the current situation of HIV prevalence in the study period

Answer: Some details have been added in the Background paragraph

2. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

Answer: We did our best

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified whether consent was suitably informed.

Answer: Details have been added in the data collection and ethics statement part

3. Please include additional information regarding the survey or questionnaire used in the study and ensure that you have provided sufficient details that others could replicate the analyses. If you developed and/or translated a questionnaire as part of this study and it is not under a copyright license more restrictive than Creative Commons Attribution (CC-BY), please include a copy, in both the original language and English, as Supporting Information.

Answer: As we understand that the formulation led to misunderstanding, I rephrased the sentence, line 58 of the Manuscript with track changes

4. Please ensure that you refer to Figure 2 in your text as, if accepted, production will need this reference to link the reader to the figure.

Answer: Edited

Reviewer’s queries

1) the numbering system used needs to be adjusted to the US numbering format.

Answer: I did my best
2) Line 121, please describe that the virus load needed is the HIV.

Answer: Edited
3) in describing population, please include the upper and lower limit of the age group not just the median age.

Answer: I did, although quartiles may be more informative, thus I propose to keep both

5) A general description for the level of CHIKV infection in Martinique during the outbreak would be useful.

Answer: As stated in the Introduction, CHIKV infection affected about 40% of the island population

6) can you please include a timeline for when the questionnaires of patients were taken post the outbreak? this would help assess how much of recall bias is to be expected

Answer: Precision has been added (L123 and 124 of the revised manuscript with track changes) regarding the time elapsed between clinical manifestations, assessment of symptoms and biological confirmation for the overall population.

Attachment

Submitted filename: response to reviewers.docx

Decision Letter 1

Pierre Roques

22 May 2020

The Effects of Chikungunya Virus Infection on People Living with HIV during the 2014 Martinique outbreak.

PONE-D-20-04293R1

Dear Dr. Cuzin,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

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Pierre Roques, Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Pierre Roques

27 May 2020

PONE-D-20-04293R1

The Effects of Chikungunya Virus Infection on People Living with HIV during the 2014 Martinique outbreak.

Dear Dr. Cuzin:

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on behalf of

Dr. Pierre Roques

Academic Editor

PLOS ONE

Associated Data

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    Supplementary Materials

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    S1 Table

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    Submitted filename: response to reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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