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Table of Contents
SHORT COMMUNICATION
Year : 2021  |  Volume : 14  |  Issue : 4  |  Page : 183-186

Clinical outcomes of hospitalized patients with chikungunya fever: A retrospective analysis


1 School of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
2 Hospital Regional da Unimed, Fortaleza, Ceará, Brazil
3 Intensive Care Unit, Hospital São Carlos, Fortaleza, Ceará, Brazil
4 Department of Public Health, School of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil
5 Public Health and Medical Sciences Post-Graduation Programs, School of Medicine, Health Sciences Center, University of Fortaleza, Fortaleza, Ceará, Brazil
6 Medical Sciences Post Graduate Program, Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil

Date of Submission12-Nov-2020
Date of Decision02-Mar-2021
Date of Acceptance20-Mar-2021
Date of Web Publication12-Apr-2021

Correspondence Address:
Lucas Lobo Mesquita
School of Medicine, Federal University of Ceará, Fortaleza, Ceará
Brazil
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/1995-7645.312519

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  Abstract 

Objective: To describe the prognostic and clinical profile of hospitalized patients with chikungunya virus (CHIKV) infection focusing on renal outcomes.
Methods: This is a cross-sectional study including all patients with confirmed chikungunya fever (CHIKF) admitted to 3 different high-complexity hospitals in Fortaleza, Brazil between January 2016 and June 2017. Data analysis was carried out to evaluate correlation between clinical profile and outcomes.
Results: Fifty-five patients were included, with a median age of 77 (IQR=21) years, and 23 (41.82%) were male. Twenty-five patients (45.45%, 25/55) developed acute kidney injury (AKI), and 15 (60.00%, 15/25) were classified as KDIGO 1, 1 (4.00%) as KDIGO 2, and 9 (36.00%) as KDIGO 3. The overall mortality was 34.54% whilst AKI-related mortality was 64.00% (16/25). Both AKI and encephalitis were associated with higher mortality. Patients who died were significantly older [82 (IQR=12) years vs. 70 (IQR= 28.75) years, P<0.001)]. In the multivariate analysis, abdominal pain was associated with an increased risk of severe AKI (OR=5.33, 95% CI=1.11–25.64, P=0.037) and AKI was an independent risk factor of death (OR=12.06, 95% CI=2.55–57.15, P=0.002). Recovery of renal function was similar among the different age groups.
Conclusions: AKI is present in half of the study population and is an independent risk factor of death. Thus, renal function should be carefully monitored in hospitalized patients with CHIKV infection.

Keywords: Arbovirus infections; Chikungunya fever; Acute kidney injury; Elderly; Mortality


How to cite this article:
Mesquita LL, Macedo &S, Filho SL, Beserra FL, Girão ES, Ferragut JM, Neto Rd, da Silva Júnior GB, Daher ED. Clinical outcomes of hospitalized patients with chikungunya fever: A retrospective analysis. Asian Pac J Trop Med 2021;14:183-6

How to cite this URL:
Mesquita LL, Macedo &S, Filho SL, Beserra FL, Girão ES, Ferragut JM, Neto Rd, da Silva Júnior GB, Daher ED. Clinical outcomes of hospitalized patients with chikungunya fever: A retrospective analysis. Asian Pac J Trop Med [serial online] 2021 [cited 2022 Jan 19];14:183-6. Available from: https://www.apjtm.org/text.asp?2021/14/4/183/312519


  1. Introduction Top


Chikungunya fever (CHIKF) is a disease caused by chikungunya virus (CHIKV), which is transmitted by Aedes spp. mosquitoes[1]. In 2016 and 2017, 185 792 cases were reported in Ceara, a northeastern Brazilian federative state, where this study took place. Among all cases notified in the state, 70% (130 108 cases) were confirmed by serology[2]. Nevertheless, it is believed that the actual burden of the disease is several times greater than the number of notified cases. This infection is characterized by flu-like symptoms and intense arthralgia, especially in the knees, which are the most commonly affected joints. Neuropathic pain, arthritis and tenosynovitis may also be present. Approximately half of patients persist with arthralgia for at least one year. Risk factors for chronicity include female sex, age above 45 years, pre-existing joint disease and intense manifestations during the acute phase[1].

Severe manifestations of the disease may occur in different phases and may be life-threatening. The heart is the most frequently affected organ, often resulting in cardiac failure, myocarditis, arrhythmias and pericarditis. The nervous system is the second most common site of complications (such as meningoencephalitis, encephalitis and Guillain-Barré syndrome), followed by the kidney. Risk factors for severe disease include comorbidities, extremes of age and use of certain medications (aspirin, NSAIDs and acetaminophen in high doses). Severe disease and extremes of age are also considered risk factors for death[3],[4]. Despite the relevance of kidney dysfunction in both morbidity and mortality of CHIKV infection, there are still very few studies addressing this issue.


  2. Subjects and methods Top


2.1. Study population

This is a cross-sectional study including all patients with confirmed CHIKF admitted to São José Infectious Diseases Hospital (public institution), Unimed Regional Hospital (private institution) and São Carlos Hospital (private institution), all located in Fortaleza, Ceara, Brazil, between January 2016 and June 2017. Inclusion criteria were age above 18 years old and positive ELISA IgM serology for CHIKV. Data collection was performed using a standard form. The present study was approved by the Research Ethics Committee of São José Infectious Diseases Hospital, Unimed Regional Hospital and São Carlos Hospital (Protocol No. 2.405.527).

2.2. Clinical and laboratory parameters evaluated

Clinical parameters, such as age, sex, hospital stay, intensive care unit (ICU) stay, clinical manifestations (including symptoms, signs, and physical examination findings) and outcomes were assessed. The analyzed laboratory data were serum urea, creatinine, hemoglobin, hematocrit, liver enzymes, sodium and potassium. Renal biopsy was not performed.

2.3. Definitions

Acute kidney injury (AKI) was defined according to Kidney disease: Improving global outcomes (KDIGO) 2012 criteria[5]. Severe AKI was defined as KDIGO 3 category. Glomerular filtration rate (GFR) was calculated using the CKD-EPI formula[6].

2.4. Statistical analysis

Statistical analysis was carried out using SPSS program for Windows version 20.0 (IBM, USA). Numerical variables underwent Shapiro-Wilk test in order to assess distribution. Comparison of categorical variables was performed using Pearson’s Chi-square or Fisher’s exact test, while numerical variables were compared using Student’s t test (for variables with normal distribution) or Mann-Whitney U test (for variables with non-normal distribution). Comparison of GFR variation within age and between age groups were evaluated by Wilcoxon Signed-Rank test and Split-Plot ANOVA tests. P values < 0.05 were considered statistically significant. In order to evaluate risk factors for death and renal outcomes, a logistic regression model was used for categorical variables. Variables with statistical significance in univariate analysis were included in multivariate analysis. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. Data was expressed as mean ± standard deviation (mean±SD) for parametrical variables or median (Interquartile range, IQR) for non-parametrical variables.


  3. Results Top


A total of 55 patients were included in the study, among whom 23 (41.82%) were male. Age ranged from 20 to 96 years with a median of 77 (IQR=21) years. The most common symptom was fever (81.82%), followed by arthralgia (80.00%), myalgia (43.64%), and vomiting (30.91%). Regarding the outcomes, 19 patients (34.55%) died and 34 (61.82%) required admission to the ICU, with median ICU stay of 10 (IQR=25) days. Patients who died were significantly older [82 (IQR=12) years vs. 70 (IQR=28.75) years, P<0.001)].

Out of the 25 patients (45.45%) who developed AKI, 16 (64%) died. Fifteen (60.00%) were classified as KDIGO 1, 1 (4.00%) as KDIGO 2 and 9 (36.00%) as KDIGO 3. Significant higher percentage of non-AkI patients developed skin rash (43.33% vs. 12.00%, P=0.011) and arthritis (23.33% vs. 0%, P=0.012), whereas more patients with encephalitis had AKI (32% vs. 10%, P=0.042). Patients who developed AKI had higher serum potassium levels [(4.33±0.77) mEq/L vs. (3.97±0.43) mEq/L, P=0.041]. Both AKI (84.21% vs. 25%%, P<0.001) and encephalitis (42.11% vs. 8.33%, P=0.005) were associated with higher mortality, whilst patients with skin rash had lower mortality (10.53% vs. 38.89%, P=0.028). The presence of abdominal pain was associated with severe AKI (44.44% vs. 13.04%, P=0.047) [Table 1]. In the multivariate analysis, AKI was an independent risk factor for death (OR=12.06, 95% CI= 2.55–57.15, P=0.002) and abdominal pain increased the risk of severe AKI (OR=5.33, 95% CI=1.11–25.64, P=0.037), compared to patients without AKI and abdominal pain, respectively [Table 2]. Patients were stratified by age in 5 groups: <60 years; 60-70 years; 71-80 years; 81-90 years, and > 90 years. [Table 3] displays the analysis of GFR variation from admission to discharge or death according to age. Patients younger than 60 years presented higher GFR on admission compared to other age groups but there was no statistically significant difference within or between groups.
Table 1: Comparison of clinical and laboratory parameters on admission and length of ICU stay between survivors vs. non-survivors, AKI vs. non-AKI and KDIGO 3 vs. non-KDIGO 3.

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Table 2: Analysis of risk factors for death and severe AKI.

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Table 3: Comparison of mean glomerular filtration rate variation between admission and last measurement before hospital discharge or death, according to age groups.

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  4. Discussion Top


Almost half of the studied patients developed AKI, with predominance of extremes of KDIGO classification. Previous studies have investigated the pattern of AKI in CHIKV infection. Economopoulou et al. studied patients presenting atypical manifestations of CHIKF. They identified 120 cases of pre-renal AKI and found high rates of pre-existent renal dysfunction and NSAID use prior to hospitalization[4]. More recently, a case report by Hamid et al. suggested rhabdomyolysis as another mechanism of kidney injury in CHIKV infection[7]. A study by Mercado et al. assessed renal biopsies of fatal CHIKF cases and found that kidney impairment was related mainly to acute interstitial nephritis[8]. These findings indicate that CHIKV, like other viruses, may cause primary kidney injury, since the presence of nephrotoxins has not been documented to date. AKI may also occur in dengue fever, especially in severe cases, as observed in CHIKF. Multiple mechanisms are probably involved in dengue fever kidney damage, such as hypotension, immune complex deposition and rhabdomyolysis, which may play a role in CHIKF renal damage as well[9].

As expected, due to the decline in GFR with aging, patients above 60 years old presented lower GFR on admission, reinforcing that this population is especially vulnerable and should be managed more carefully. We did not have access to creatinine measurements prior to hospital admission, which limits our ability to assess renal sequellae. Although an upward trend in GFR was observed from the first to the last measurements in most age groups, which would point to a recovery of renal function, there was no statistically significant GFR increase within age groups. Split-Plot ANOVA demonstrated that there was no significant difference in GFR variation between age groups during hospitalization, although patients younger than 60 years presented higher mean GFR on admission. Such findings suggest that older age did not interfere in renal recovery until hospital discharge. However, prospective studies with long-term follow-up are necessary to fully elucidate differences in renal recovery in CHIKF and how it is influenced by age.

Although patients may consider cutaneous rash and arthritis among the most frightening or incapacitating CHIKF symptoms, they were associated with better renal outcome and higher survival rate in the univariate analysis. Prospective studies should better define this association. Meanwhile, patients may be reassured about the lack of reasons to think such symptoms could bring worse survival prognosis. On the other hand, abdominal pain was associated with increased risk of severe AKI. This symptom is considered a warning sign in dengue fever, emphasizing the possible similarity between severe presentations of both diseases[10], hence its presence should also be investigated in CHIKF.

In conclusion, AKI was very common in the studied patients and independently increased the risk of death. Abdominal pain was a risk factor for severe AKI. Further studies are needed to elucidate the mechanisms of kidney injury and recovery of renal function.

Conflict of interest statement

The authors declare that they have no conflict of interest.

Authors’ contributions

EDFD, GBSJ and RJPN designed the study and guided data collection. LLM, ESM, FLCNB and JMF contributed to literature research. ESG, JMF, FLCNB and LLM performed data acquisition. SLAPF executed data analysis. ESM, LLM and SLAPF prepared the manuscript. EDFD, GBSJ and RJPM helped in data interpretation. LLM and SLAPF revised the manuscript thoroughly.

 
  References Top

1.
Hua C, Combe B. Chikungunya virus-associated disease. Curr Rheumatol Rep 2017; 19(11): 69.  Back to cited text no. 1
    
2.
Ceara State Government, Secretariat of Health. Epidemiological report–dengue, Zika, chikungunya. 2017. [Online]. Available from: http://www. saude.ce.gov.br/index.php/boletins?download=3411%3Aboletim-epidemiologico-arboviroses--10-de-novembro-de-2017 [Accessed on 7 April 2018].  Back to cited text no. 2
    
3.
Brazil Ministry of Health, Health Surveillance Secretariat. Primary care secretariat chikungunya: Clinical management. Brasilia: Ministry of Health; 2017. [Online]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/chikungunya_manejo_clinico.pdf. [Accessed on 2 July 2020].  Back to cited text no. 3
    
4.
Economopoulou A, Dominguez M, Helynck B, Sissoko D, Winchmann O, Quenel P, et al. Atypical chikungunya virus infections: Clinical manifestations, mortality and risk factors for severe disease during the 2005-2006 outbreak on Réunion. Epidemiol Infect 2009; 137: 534-541.  Back to cited text no. 4
    
5.
Acute Kidney Injury Work Group. Kidney disease: Improving global outcomes (KDIGO). KDIGO clinical practice guideline for acute kidney injury. Kidney Int Suppl 2012; 2: 1-138.  Back to cited text no. 5
    
6.
Levey AS, Stevens LA, Schmid CH, Zang YL, Castro AF 3rd, Feldman HI, et al. CKD-EPI (Chronic kidney disease epidemiology collaboration). A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604-612.  Back to cited text no. 6
    
7.
Hamid A, Dhrolia MF, Qureshi R, Imtiaz S, Ahmad A. Acute kidney injury secondary to rhabdomyolysis: A rare presentation of chikungunya fever. J Coll Physicians Surg Pak 2018; 28: S94-S96.  Back to cited text no. 7
    
8.
Mercado M, Acosta-Reyes J, Parra E, Guzmán L, Beltrán M, Gasque P, et al. Renal involvement in fatal cases of chikungunya virus infection. J Clin Virol 2018; 103: 16-18.  Back to cited text no. 8
    
9.
Gurugama P, Jayarajah U, Wanigasuriya K, Wijewickrama A, Perera J, Seneviratne SK. Renal manifestations of dengue virus infections. J Clin Virol 2018; 101:1-6.  Back to cited text no. 9
    
10.
McFee RB. Selected mosquito borne illnesses–Dengue. Dis Mon 2018; 64: 246-274.  Back to cited text no. 10
    



 
 
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Abstract
1. Introduction
2. Subjects and ...
3. Results
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