Predictors of Dengue-Related Mortality and Disease Severity in a Tertiary Care Center in North India

Associations of obesity and dengue-associated mortality, acute liver failure and mechanical ventilation in children with dengue shock syndrome

Dengue-associated complications, including dengue shock syndrome, severe respiratory distress, and pediatric acute liver failure (PALF), are associated with high mortality rates in patients with dengue. There is increasing prevalence of overweight and obesity among children worldwide. Obesity may activate inflammatory mediators, leading to increased capillary permeability and plasma leakage in patients with dengue. Several studies have shown a correlation between obesity and DSS, but did not include dengue fatality or PALF. Therefore, we hypothesized possible associations between obesity and critical dengue-associated clinical outcomes among PICU-admitted children with DSS, including dengue-related mortality, mechanical ventilation (MV) requirements, and dengue-associated PALF. The nutritional status of the participants was assessed using World Health Organization growth charts. A total of 858 participants with complete nutritional data were enrolled in this study. Obesity was significantly associated with risk of severe respiratory failure and MV support (odds ratio = 2.3, 95% CI: 1.31-4.06, P < .01); however, it was not associated with dengue-associated mortality or acute liver failure. Obese pediatric patients with DSS should be closely monitored for severe respiratory distress and the need for high-flow oxygenation support, particularly MV, soon after hospitalization.

Predictors of Mortality in Patients With Dengue Fever: Insights From a Comparative Analysis

Objective To determine the clinical and biochemical predictors of mortality in patients with dengue fever. Methods This was an analytical, cross-sectional study conducted at Hayatabad Medical Complex, Peshawar, Pakistan. The study participants were patients admitted to the hospital for the management of dengue fever. Clinical parameters (age, gender, duration of hospital stay, and the presence of complications) and biochemical parameters [white blood cells count (WBC), platelet count, serum c-reactive protein (CRP) level, serum alanine aminotransferase (ALT) level, and serum creatinine] were recorded. These parameters were compared between the survivors and non-survivors of dengue fever. Results Out of 115 patients, the majority (n=82, 71.3%) were up to 45 years and the mean age was 38.40 ± 18.1 years. Most of the patients (n=105, 91.3%) survived. On univariate logistic regression analysis, age more than 45 years [odds ratio (OR) 0.141, 95% confidence interval (CI) 0.034 - 0.585, p = 0.007), leukocytosis (> 11,000/mcL) (OR 0.187, 95% CI 0.049 - 0.719, p = 0.015), and acute kidney injury (creatinine > 1.5 mg/dL) (OR 0.124, 95% CI 0.029 - 0.531, p = 0.005)] at the time of admission reduced the likelihood to survive. Leukocytosis and acute kidney injury remained significant independent predictors of mortality on multivariate logistic regression analysis. [(OR 0.201, 95% CI 0.042 - 0.960, p = 0.044) and (OR 0.148, 95% CI 0.026 - 0.857, p = 0.033) for survival, respectively]. Gender, duration of inpatient stay, thrombocytopenia (platelets < 30,000/mcL), and acute liver injury (ALT > 200 IU/L) were not associated with mortality from dengue fever. Conclusion Age over 45 years, leukocytosis, and acute kidney injury at presentation increased the likelihood of mortality from dengue fever in this study. Gender, duration of hospital stay, thrombocytopenia, and acute liver injury did not affect the odds of mortality.

Risk Factors for Mortality in Patients with Dengue: A Systematic Review and Meta-Analysis

OBJECTIVE

To investigate risk factors for mortality in dengue.

METHODS

Systematic review and meta-analysis searching MEDLINE, Embase, SciELO, LILACS Bireme, and OpenGrey to identify eligible observational studies of patients with dengue, of both genders, aged 14 years or older, that analyzed risk factors associated with mortality and reported adjusted risk measures with their respective confidence intervals (CIs). We estimated the pooled weighted mean difference and 95% CIs with a DerSimonian and Laird random-effects model. Methodological quality was assessed using the Newcastle-Ottawa Scale.

RESULTS

Of 1,170 citations reviewed, 18 papers, with a total of 25,851 patients, were included in the systematic review and 12 in the meta-analysis. Severe hepatitis (OR 29.222, 95% CI: 3.876-220.314), dengue shock syndrome (OR 23.575, 95% CI 3.664-151.702), altered mental status (OR 3.76, 95% CI 1.67-8.42), diabetes mellitus (OR 3.698, 95% CI 1.196-11.433), and higher pulse rate (OR 1.039, 95% CI 1.011-1.067) are associated with mortality in patients with dengue. All studies included were classified as having a high quality.

CONCLUSIONS

Proper identification and management of these risk factors should be considered to improve patient outcomes and reduce the hidden burden of this neglected tropical disease. Future well-designed studies are needed to investigate the association of other clinical, radiological, and laboratorial findings with mortality in dengue, as well as to develop prognostic models based on the risk factors found in our study.

Identification of predictors and model for predicting prolonged length of stay in dengue patients

PURPOSE

Our objective is to identify the predictive factors and predict hospital length of stay (LOS) in dengue patients, for efficient utilization of hospital resources.

METHODS

We collected 1360 medical patient records of confirmed dengue infection from 2012 to 2017 at Max group of hospitals in India. We applied two different data mining algorithms, logistic regression (LR) with elastic-net, and random forest to extract predictive factors and predict the LOS. We used an area under the curve (AUC), sensitivity, and specificity to evaluate the performance of the classifiers.

RESULTS

The classifiers performed well, with logistic regression (LR) with elastic-net providing an AUC score of 0.75 and random forest providing a score of 0.72. Out of 1148 patients, 364 (32%) patients had prolonged length of stay (LOS) (> 5 days) and overall hospitalization mean was 4.03 ± 2.44 days (median ± IQR). The highest number of dengue cases belonged to the age group of 10-20 years (21.1%) with a male predominance. Moreover, the study showed that blood transfusion, emergency admission, assisted ventilation, low haemoglobin, high total leucocyte count (TLC), low or high haematocrit, and low lymphocytes have a significant correlation with prolonged LOS.

CONCLUSION

Our findings demonstrated that the logistic regression with elastic-net was the best fit with an AUC of 0.75 and there is a significant association between LOS greater than five days and identified patient-specific variables. This method can identify the patients at highest risks and help focus time and resources.

Plasma leakage in dengue: a systematic review of prospective observational studies

Plasma leakage is a precursor to life-threatening complications of dengue, but this group is poorly defined and not often reported in literature. Patients with Dengue haemorrhagic fever (DHF) as defined in the 1997 World Health Organization classification are often reported, and they all have plasma leakage, but some patients with plasma leakage do not meet the definition of DHF. The study aims to estimate the frequency of plasma leakage and DHF (as a surrogate of plasma leakage) in dengue and its variations based on virus serotype, geography, patient gender and pre-existing immunity to dengue. PUBMED, Scopus, EMBASE, CINAHL and Web of Science were searched for prospective observational studies reporting on plasma leakage or DHF. Quality of data was assessed using the NIH quality assessment tool for cohort studies. Forty-three studies that recruited 15,794 confirmed dengue patients were eligible. Cumulative frequency of plasma leakage was 36.8% (15 studies, 1642/4462, 95% CI 35.4-38.2%), but surprisingly the estimated cumulative frequency of DHF was higher (45.7%, 32 studies, 4758/10417, 95% CI 44.7-46.6%), indicating that current medical literature over-reports DHF or under-reports plasma leakage. Therefore, a reliable estimate for the proportion of dengue patients developing plasma leakage cannot be derived from existing medical literature even after applying rigorous inclusion criteria to select homogenous studies. Plasma leakage is an important marker of "at-risk" dengue patients and standardizing its definition, diagnosis and reporting should be a priority in research and global policy.

Determining Risk Factors for Dengue Fever Severity in Jeddah City, a Case-Control Study (2017)

Dengue fever is a major public health problem in Saudi Arabia. Unfortunately, preventive strategies are still deficient. It can progress to severe and lethal forms, and available knowledge does not allow early prediction of which cases of dengue fever (DF) will progress to dengue hemorrhagic fever (DHF). The aim of this study was to evaluate the host and viral factors that could play a role in the progression of severe dengue cases in the frame of the revised 2009 WHO classification. Data were compiled from the Jeddah Dengue Fever Operation Room (DFOR) in the Maden Al-Fahd primary healthcare center in Jeddah. An unmatched case-control study was conducted on 123 severe cases, and 245 controls (non-severe cases) diagnosed during 2014-2016. Risk factors for severe dengue fever were secondary infection (p = 0.02), and co-morbidities, particularly diabetes and hypertension (p < 0.001). Age, gender, nationality, socioeconomic status, viral serotype, and access to health care were not significantly associated with severe disease. The main risk factors for severe dengue fever were secondary infection, and co-morbidities (hypertension and diabetes). We recommend disseminating these data to stakeholders to improve dengue control interventions in periods with anticipated high incidence.

Notified dengue deaths in Myanmar (2017-18): profile and diagnosis delays

Background: Complications in dengue usually occur between day four and day six after fever onset. Hence, early diagnosis and haematological monitoring are vital. Among all hospital reported dengue deaths in Myanmar in 2017-18, we assessed the i) patient profile, ii) proportion of patients who arrived with a dengue diagnosis at admission and iii) delays in diagnosis after fever onset.

Methods: This was a descriptive study involving secondary data. For all the notified deaths, death investigation forms were not available in prescribed format and therefore, data were extracted from hospital case records.

 Results: Of 304 deaths, 184 (60.5%) were female and 233 (76.6%) were less than 10 years old. Township level hospitals or below reported 36 deaths (11.8%) and the remaining deaths were from higher level facilities. Dengue was diagnosed before admission in 26 (8.5%) people and 169 (55.6%) were in shock at admission. Of 208 with date of fever onset recorded, the median diagnosis delay was four (interquartile range-IQR: 3, 5) days. Patient level delay (median three days) was a major contributor to the diagnosis delay.

Conclusions: Most of the patients who died did not have a diagnosis of dengue before admission. This calls for an urgent review of health system preparedness in peripheral health facilities to suspect, diagnose, monitor, refer and treat dengue in children and patient level factors for better understanding of the reasons of delay. Timely filling of death investigation forms in a prescribed format and quarterly death reviews based on these is recommended.

Prevalence of Dengue Fever in Western Uttar Pradesh, India: A Gender-Based Study

Objective

Gender-based serologic differences for nonstructural protein 1(NS1) antigen (Ag) and IgM antibody (Ab) detection have been reported among cases of dengue in few studies. However, to understand its distribution with patient's gender and their demographic profile, this study is designed to fill the gaps in the available gender based data, and is the first from this region.

Materials and Methods

A total of 4252 blood samples were collected aseptically during the outbreaks of 2016-17. Serum was separated and processed for dengue ELISA (NS1Ag and IgM Ab). All the relevant clinical data and variables such as gender and their demographic profile were recorded and statistically analyzed.

Results

A total of 978 (23%) patients were found seropositive either by NS1 Ag or IgM Ab ELISA. The proportion of male was higher than female among all seropositive cases, with the ratio of (M:F) 1.54:1 (P < 0.0001). The males were predominately more affected compared to females among rural (P = 0.001) and semi-urban (P = 0.016) areas. The positive NS1 (P = 0.004) and IgM (P = 0.0001) both results were significantly associated with male gender.

Conclusion

Every case of dengue must be screened for NS1Ag and IgMAb to increase the diagnostic precision, despite the males being more affected as compared to females due to sociocultural differences.

Risk prediction for severe disease and better diagnostic accuracy in early dengue infection; the Colombo dengue study

Background

A major challenge in dengue management in resource limited settings is the confirmation of diagnosis. Clinical features of dengue often overlap with other infections and molecular diagnostic tools are not readily accessible to clinicians at hospitals. In addition, the prediction of plasma leakage in dengue is also difficult. Hematocrit level and ultrasound scans (combined with clinical parameters) are helpful to detect plasma leakage once it has happened, not before.

Methods

Colombo Dengue Study (CDS) is a prospective cohort study of clinically suspected adult dengue patients recruited from the National hospital of Sri Lanka (within the first 3 days of fever) that aimed to a) identify clinical and basic laboratory test parameters to differentiate dengue from non-dengue fever, b) evaluate the comparative efficacy of loop-mediated isothermal amplification (LAMP) for dengue diagnosis (vs. NS1 antigen test and RT-qPCR) and c) identify early associations that are predictive of plasma leakage or severe dengue. The basic laboratory tests considered here included hematological parameters, serum biochemistry and inflammatory markers.

Results

Only 70% of clinically suspected patients were confirmed as having dengue by either the NS1 antigen test or RT-qPCR. On a Bayesian latent class model which assumes no “gold standard”, LAMP performed equally or better than RT-qPCR and NS1 antigen test respectively. When confirmed dengue patients were compared with others, the earlier group had significantly lower lymphocyte counts and higher aspartate aminotransferase levels (AST) within the first 3 days of fever. Confirmed dengue patients with plasma leakage had a lower mean age and a higher median baseline AST level compared to those without plasma leakage (p < 0.05).

Conclusion

Clinical suspicion overestimates the true number of dengue patients. RT-LAMP is a potentially useful low-cost diagnostic tool for dengue diagnosis. Confirmed dengue patients had significantly higher AST levels and lower lymphocyte counts in early disease compared to others. In confirmed dengue patients, younger age and a higher AST level in early infection were associated with subsequent plasma leakage.

Electronic supplementary material

The online version of this article (10.1186/s12879-019-4304-9) contains supplementary material, which is available to authorized users.

Clinical Profile and Outcome of Dengue Fever in Multidisciplinary Intensive Care Unit of a Tertiary Level Hospital in India

Background

India is one of the seven identified countries in South-East Asia region regularly reporting dengue fever (DF)/dengue hemorrhagic fever (DHF) outbreaks. Even though the dengue prodrome and evolution of illness are most often similar in many patients, progress and outcome may differ significantly depending on the severity of illness as well as treatment instituted. We studied the clinical manifestations, outcome and factors predicting mortality of serology confirmed dengue fever cases admitted in Multidisciplinary Intensive Care Unit (MICU) of a high acuity healthcare facility in India.

Methodology

All patients with serology proven dengue fever admitted to MICU between 1st July 2015 and1st December 2015 were included in the study. Clinical presentation, laboratory findings, severity of illness scores and outcome were recorded.

Results

Majority of the patients (58.4%) belonged to 21–40 year age group. Hepatic (96.8%) followed by hematological (79.2%) involvement were the most common findings. CNS involvement observed among 27%. Survival to hospital discharge was 78.9%. Respiratory and gastrointestinal system involvement was associated with increased mortality. Acute respiratory distress syndrome (ARDS), acute kidney injury (AKI) and shock were the clinical syndromes associated with mortality. Serum lactate, aspartate transaminase (AST) and alanine transaminase (ALT) were significantly elevated among non survivors. Significant difference in sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation (APACHE) scores was also observed among survivors and non survivors.

Conclusion

Organ system involvement and higher disease severity scores are strong predictors of mortality. High index of suspicion for atypical manifestations of dengue is warranted.

How to cite this article

Padyana M, Karanth S, Vaidya S, Gopaldas JA. Clinical Profile and Outcome of Dengue Fever in Multidisciplinary Intensive Care Unit of a Tertiary Level Hospital in India. Indian J Crit Care Med 2019;23(6):270–273.

Dengue infection in India: A systematic review and meta-analysis

INTRODUCTION

Dengue is the most extensively spread mosquito-borne disease; endemic in more than 100 countries. Information about dengue disease burden, its prevalence, incidence and geographic distribution is critical in planning appropriate control measures against dengue fever. We conducted a systematic review and meta-analysis of dengue fever in India.

METHODS

We searched for studies published until 2017 reporting the incidence, the prevalence or case fatality of dengue in India. Our primary outcomes were (a) prevalence of laboratory confirmed dengue infection among clinically suspected patients, (b) seroprevalence in the general population and (c) case fatality ratio among laboratory confirmed dengue patients. We used binomial-normal mixed effects regression model to estimate the pooled proportion of dengue infections. Forest plots were used to display pooled estimates. The metafor package of R software was used to conduct meta-analysis.

RESULTS

Of the 2285 identified articles on dengue, we included 233 in the analysis wherein 180 reported prevalence of laboratory confirmed dengue infection, seven reported seroprevalence as evidenced by IgG or neutralizing antibodies against dengue and 77 reported case fatality. The overall estimate of the prevalence of laboratory confirmed dengue infection among clinically suspected patients was 38.3% (95% CI: 34.8%-41.8%). The pooled estimate of dengue seroprevalence in the general population and CFR among laboratory confirmed patients was 56.9% (95% CI: 37.5-74.4) and 2.6% (95% CI: 2-3.4) respectively. There was significant heterogeneity in reported outcomes (p-values<0.001).

CONCLUSIONS

Identified gaps in the understanding of dengue epidemiology in India emphasize the need to initiate community-based cohort studies representing different geographic regions to generate reliable estimates of age-specific incidence of dengue and studies to generate dengue seroprevalence data in the country.