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Clinical and Laboratory Observations Associated with the 2000 Dengue
Outbreak in Dhaka, Bangladesh Monira Pervin*#, Shahina Tabassum**, Md. Mobarak Ali***,
Kazi Zulfiquer Mamun* and Md.
Nazrul Islam**
*Department
of Virology, Dhaka Medical
College, Dhaka,
Bangladesh
**Department of Virology, Bangabandhu
Sheikh Mujib Medical
University, Shahbag, Dhaka,
Bangladesh
***Shahid Suhrawardi
Hospital, Dhaka
Bangladesh
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Abstract
A large outbreak of dengue fever
(DF)/dengue haemorrhagic fever (DHF) occurred in Dhaka
city, Bangladesh,
in 2000. The present study was conducted on 105 clinically-suspected cases
of DF to confirm the diagnosis, determine the major clinical manifestations
and correlate the haemorrhagic manifestations with different dengue
serotypes circulating during the outbreak. A total of 97 cases were
positive for anti-dengue IgM and were considered as recent dengue
infection; 52.6% patients had secondary and 47.4% had primary dengue
infection. According to WHO case-definition, 79 cases were classified as
DF, 17 as DHF and 1 as DSS. Among the 18 DHF/DSS cases, 14 had secondary
and 4 had primary type of antibody response. The mean age of the dengue
patients was 29.2±12.9 years and most of them (37.1%) belonged to the
20-29-year age group. All the clinically-suspected patients had fever ranging
from 100-104 ºF, but the secondary dengue fever patients had higher
(101.6±1.4 ºF) mean body temperature. Common complaints included myalgia
(84.5%), headache (82.5%), arthralgia (68.0%), lethargy (80.4%) and
retro-orbital pain (49.5%). Rash, especially maculopapular type, was
significantly higher in primary infection (P<0.01), while hepatomegaly
was higher in secondary infections (P<0.01). Haemorrhagic manifestations
were observed both in primary and secondary dengue patients and were mostly
associated with serotypes DEN-3. In 22.7% of cases, the platelet count was
<1x105/mm3 and was associated more with secondary infection. Haematocrit
more than 45% was found in 16.5% patients and a significantly higher
association was detected among the secondary dengue fever patients
(P=0.02). Although all 4 dengue serotypes were prevalent during the
outbreak, DEN-3 was the predominant serotype (70.5%) and was associated
with more severe clinical manifestations.
Keywords: Primary dengue fever, secondary dengue fever, dengue
haemorrhagic fever, serotypes, Bangladesh.
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Introduction
Dengue was first reported in Bangladesh
in 1964 and the outbreak came to be known as ‘Dacca Fever’[1]. For
a long period after that, dengue cases remained undetected. A few cases were
reported in 1999 before a large outbreak occurred in 2000, during which 5,551
cases and 93 dengue-related deaths were reported[2,3]. Cases
reported during the outbreaks were mostly diagnosed clinically, except for a
few serologically diagnosed cases[4].
Several studies have observed that
sequential or secondary dengue infections are more likely to produce a severe
form of the disease. DHF and DSS occur mostly in persons with pre-existing
dengue antibodies acquired actively or passively[5-7].
Detection of anti-dengue IgM
indicates the diagnosis of recent dengue infection in both primary and
secondary cases. Anti-dengue IgM develops earlier than IgG in primary
infection and is usually detectable by day 5 of illness and wanes after 1-2
months[8]. The ratio of IgM and IgG antibodies determined by ELISA
is useful for distinguishing primary and secondary infections[8,9].
In primary infection, the IgM/IgG ratio generally exceeds 1.8 OD units in
acute or convalescent sera[8]. Detection of an early and excess of
IgG characterizes secondary infection. In the present study, dengue patients
were classified into primary and secondary cases on the basis of this concept
and it was carried out to confirm the clinical diagnosis, correlate the
clinical manifestations with laboratory findings and establish the
association of haemorrhagic manifestations with different dengue virus
serotypes responsible for the outbreak of 2000.
Materials and methods
The study was conducted on clinically suspected cases of dengue fever
attending the inpatient and outpatient departments of Medicine and
Paediatrics, Bangabandhu Sheikh Mujib Medical University (BSMMU) Hospital,
and patients admitted at the DhakaMedicalCollegeHospital during June – December
2000. Some patients seeking diagnostic facilities at the Department of
Virology, BSMMU, were also included in the study.
According to specific inclusion criteria, 105 clinically suspected patients
with fever (presenting within 5 days of onset with body temperature above
100 °F at the time of blood sample collection) and fulfilling the
case-definition criteria of dengue fever (DF) and dengue haemorrhagic fever
(DHF) of WHO[10] were enrolled in the study. The exclusion
criteria defined cases of febrile illness of more than 5 days and/or with
definite sources of infection, chronic illnesses like tuberculosis, bronchial
asthma, congenital heart disease, renal failure, history of bleeding tendency
since birth and patients who refused to give two blood samples.
Clinical data were collected
through interviewing the patients or their attendants and meticulous physical
examination of the patients conducted by a doctor. The tourniquet test was
performed in all patients by conventional method[11]. Hepatomegaly
and ascites were ascertained by physical examination and on reports of
ultrasonography and X-rays. 5 ml of venous blood was collected aseptically
from all patients during both the early and convalescent stages of fever
irrespective of age and sex. This was processed and stored appropriately for
virus isolation, antibody assay, platelet count and haematocrit estimation.
Detection of IgM and IgG anti-dengue antibody, isolation of dengue viruses by
mosquito inoculation technique and serotyping of the isolated viruses were
done as described previously[12,13]. Patients were classified into
DF and DHF or DSS according to WHO, 1997[10].
Statistical analysis
The numerical data obtained from the study were analysed and the significance
of the difference was estimated by using statistical methods. The data were
expressed in frequency, percentage, mean and standard deviation as
applicable. The comparison between groups was done by Student’s ‘t’
test and ‘Chi square’ and ‘Z’ test as applicable. All data were analysed by
using the computer-based SPSS programme. Probability less than 0.05 was
considered as significant.
Results
Of the 105 clinically suspected dengue patients, 39 (37.1%) were positive for
either anti-dengue IgM or IgM and IgG antibodies and 38 (36.2%) patients
developed only anti-dengue IgG in acute stage by ELISA. When these patients
were tested in the convalescent stage, 21 (20%) were positive for only IgM
and 76 (72.4%) were positive for both IgM and IgG antibodies. Eight patients
did not develop anti-dengue IgM and IgG in either of the specimens (Table 1)
and were also negative on virus isolation. Thus, a total of 97 (92.4%) cases
were diagnosed serologically as current dengue infection, while 8 (9.8%)
cases were considered as non-dengue febrile illness and were excluded from
further analysis. Of the 97 dengue patients, 46 (47.4%) had primary and 51
(52.6%) had secondary infection depending on anti-dengue IgM and IgG antibody
level of acute and convalescent stage sera (Table 2). Among them, 17 patients
developed DHF and one developed DSS. Of the 18 DHF/DSS patients, 14 had
secondary type of infection and 4 had primary infection.
Table 1. IgM and IgG dengue
antibody positive cases by ELISA
|
Time of
serum collection
|
Only IgM
antibody positive cases
n (%)
|
Only IgG
antibody positive cases
n (%)
|
Both IgM
and IgG antibody positive cases
n (%)
|
IgM and
IgG antibody negative cases
n (%)
|
Total
n (%)
|
|
Acute stage serum (within 5 days of
fever)
|
21 (20.0)*
|
38 (36.2)
|
18 (17.1)*
|
28 (26.7)
|
105 (100)
|
|
Convalescence stage serum (within 14-21
days of fever)
|
21 (20.0)**
|
00 (0.0)
|
76 (72.4)**
|
8 (7.6)***
|
105 (100)
|
* Total
number of dengue infection cases detected in acute stage serum (21+18) = 39
(37.1%).
**Total number of dengue infected cases detected in convalescence serum
(21+76) = 97 (92.4%).
*** Non-dengue febrile illness cases = 8 (7.6%).
Figures in parenthesis indicate percentage
Table 2. Age distribution of dengue patients by primary and
secondary dengue infection
|
Age in years
|
Primary infection
n (%)
|
Secondary infection
n (%)
|
Total
n
|
|
<10
|
3 (42.9)
|
4 (57.1)
|
7
|
|
10-19
|
4 (44.4)
|
5 (55.6)
|
9
|
|
20-29
|
20 (55.6)
|
16 (44.4)
|
36
|
|
30-39
|
11 (45.8)
|
13 (54.2)
|
24
|
|
40-49
|
7 (53.8)
|
6 (46.2)
|
13
|
|
>50
|
1 (12.5)
|
7 (87.5)
|
8
|
|
Total
|
46 (47.4)
|
51 (52.6)
|
97 (100.0)
|
|
*Mean±SD
|
27.5±11.0
|
30.7±14.4
|
29.2±12.9
|
P
value 0.214 (unpaired student’s ‘t’ test)
* Mean of age
Figures in parenthesis indicate percentage
The involvement of all age groups, especially an adult predominance, was
observed. The mean age of the dengue patients was 29.2±12.9 years and most
belonged to the 20-29-year age group. The mean age of primary dengue fever
patients was 27.5±11.7 years and that of secondary patients was 30.7±14.4
years.
Dengue viruses were isolated from 44 of the 97 dengue patients. The rate of
dengue virus isolation was significantly higher (68.2% vs 31.2%) among primary
than secondary infection patients (P=0.018). The isolation rate
decreased gradually with the increasing duration of fever (see Figure).
Figure. Isolation rate of dengue virus between primary and
secondary dengue patients by day of fever

(P=0.018)
P value reached from Z test
The distribution of clinical manifestations in dengue cases is given in Table
3. The mean body temperature of the dengue patients was 101.5±1.4 ºF but
there was no significant difference in the mean body temperature between
primary and secondary DF patients. Other common symptoms included myalgia
(84.5%), headache (82.5%), arthralgia (68%), lethargy (80.4%) and
retro-orbital pain (49.5%). Patients with primary dengue infection presented
more commonly with headache, arthralgia and retro-orbital pain, whereas
lethargy was commonly associated with secondary dengue infection. The most
common presenting sign was rash, especially maculopapular type, and its
association was significantly higher with primary DF cases (P=0.016).
Ascitis was observed in 5 (9.8%) cases; all had secondary DF.
Hepatomegaly was present in 13 (13.4%) patients and its association was
significantly higher (P=0.002) in secondary DF patients. Abdominal
pain (6.2%) and lymphadenopathy (4.1%) was less frequent among our study
patients though abdominal pain was more common (7.8%) in secondary DF
patients.
Table 3. Distribution of clinical manifestations in dengue
patients
|
Clinical characteristics
|
Types
of dengue
|
Total
n=97
|
P-value
|
|
Primary infection
n=46
|
Secondary infection
n=51
|
|
Mean temperature (°F)
|
101.4±1.4
|
101.6±1.4
|
101.5±1.4
|
|
|
Headache
|
41 (89.1)
|
39 (76.5)
|
80 (82.5)
|
|
|
Arthralgia
|
34 (73.9)
|
32 (62.7)
|
66 (68.0)
|
|
|
Retro-orbital pain
|
25 (54.3)
|
23 (45.1)
|
48 (49.5)
|
|
|
Myalgia
|
39 (84.8)
|
43(84.3)
|
82 (84.5)
|
|
|
Lethargy
|
36 (78.3)
|
42 (82.4)
|
78 (80.4)
|
|
|
Rash
|
19 (41.3)
|
13 (25.5)
|
32 (32.9)
|
|
|
Maculopapular
|
17 (36.9)
|
8 (15.7)
|
25 (25.8)
|
0.016S
|
|
Petechial
|
2 (4.3)
|
5 (9.8)
|
7 (7.2)
|
|
|
Anorexia, nausea and vomiting
|
16 (34.8)
|
19 (37.3)
|
35 (36.1)
|
|
|
Abdominal pain
|
2 (4.3)
|
4 (7.8)
|
6 (6.2)
|
|
|
Ascitis
|
0 (0.0)
|
5 (9.8)
|
5 (5.1)
|
|
|
Enlarged lymph node
|
2 (4.3)
|
2 (3.9)
|
4 (4.1)
|
|
|
Hepatomegally
|
1 (2.2)
|
12 (23.5)
|
13 (13.4)
|
0.002S
|
Figures
in parenthesis indicate percentage
P-value reached from chi-square analysis
Haemorrhagic manifestations in
primary and secondary dengue infections are indicated in Table 4. The most
common sign of bleeding manifestation, i.e. a positive tourniquet test, was
observed in 18 (18.6%) patients. Petechiae 15 (15.5%), purpura 12 (12.4%),
gum bleeding 12 (12.4%) and haematemasis/malaena 11 (11.3%) were the other
bleeding manifestations. Besides these, conjunctival bleeding, haematuria and
per rectal bleeding also occurred in a small number of patients.
Table 4. Haemorrhagic manifestations among primary and secondary
dengue cases
|
Clinical characteristics
|
Types
of dengue
|
Total
n=97
|
|
Primary infection
n=46
|
Secondary infection
n=51
|
|
Positive tourniquet test
|
7 (15.2)
|
11 (21.6)
|
18 (18.6)
|
|
Petechiae
|
8 (17.4)
|
7 (13.7)
|
15 (15.5)
|
|
Purpura
|
5 (10.9)
|
7 (13.7)
|
12(12.4)
|
|
Epistaxis
|
1 (2.2)
|
2 (3.9)
|
3 (3.1)
|
|
Haematemesis/melaena
|
8 (17.4)
|
3 (5.9)
|
11 (11.3)
|
|
Gum
bleeding
|
5 (10.9)
|
7 (13.7)
|
12 (12.4)
|
|
Per
vaginal bleeding
|
2 (4.3)
|
1 (2.0)
|
3 (3.1)
|
|
Conjunctival
bleeding
|
1 (2.2)
|
1 (1.0)
|
2 (2.0)
|
|
Haematuria
|
1 (2.2)
|
0 (0.0)
|
1 (1.0)
|
|
Per
rectal bleeding
|
0 (0.0)
|
2 (3.9)
|
2 (2.0)
|
Figures in parenthesis indicate
percentage
The haematological features in
primary and secondary dengue infections are given in Table 5. Platelet counts
of <1x105/mm3 was detected in 22 (22.7%) patients
and was more frequently 16 (31.4%) associated with secondary DF (Table 5).
Haematocrit value of >45% was observed in 16 (16.5%) patients and a
significantly higher association of >45% haematocrit level was detected
among secondary DF patients (P=0.02).
Haemorrhagic manifestations were mostly associated with DEN-3 and DEN-4
infections; only one patient with DEN-1 infection had per rectal bleeding
(Table 6).
Table 5. Haematological features in primary and secondary dengue
infection
|
Haematology
|
Types
of dengue infection
|
Total
n=97
|
P-value
|
|
Primary infection
n=46
|
Secondary infection
n=51
|
|
Platelets/cu mm
|
|
<1´105
|
6(13.1)
|
16(31.4)
|
22(22.7)
|
0.059
|
|
>1´105
|
40(86.9)
|
35(68.6)
|
75(77.3)
|
|
|
Haematocrit
|
|
>45%
|
3(6.5)
|
13(25.5)
|
16(16.5)
|
0.020S
|
|
<45%
|
43(93.5)
|
38(74.5)
|
81(83.5)
|
|
Figures
in parenthesis indicate percentage
P-value reached from chi-square analysis
Table 6. Haemorrhagic manifestations in different serotypes of
dengue virus infections
|
Clinical characteristics
|
Serotypes
of dengue viruses
|
|
DEN-1
(n=6)
|
DEN-2
(n=3)
|
DEN-3
(n=31)
|
DEN-4
(n=4)
|
|
Positive tourniquet test
|
0 (0.0)
|
0 (0.0)
|
6 (19.4)
|
3 (75.0)
|
|
Petechiae
|
0 (0.0)
|
0 (0.0)
|
1 (3.2)
|
1 (25.0)
|
|
Purpura
|
0 (0.0)
|
0 (0.0)
|
3 (9.7)
|
1 (25.0)
|
|
Epistaxis
|
0 (0.0)
|
0 (0.0)
|
1 (3.2)
|
0 (0.0)
|
|
Haematemesis/melaena
|
0 (0.0)
|
0 (0.0)
|
4 (12.9)
|
1 (25.0)
|
|
Gum bleeding
|
0 (0.0)
|
1 (33.3)
|
4 (12.9)
|
1 (25.0)
|
|
Haematuria
|
0 (0.0)
|
0 (0.0)
|
1 (3.2)
|
1 (25.0)
|
|
Per rectal bleeding
|
1 (16.7)
|
0 (0.0)
|
0 (0.0)
|
1 (25.0)
|
Figures in parenthesis indicate
percentage
Discussion
The secondary dengue infection is usually associated with more severe
manifestations than the primary infection. In our study, out of the 97 dengue
cases, 46 (47.4%) had primary and 51 (52.6%) had secondary dengue infection.
The presence of secondary cases indicated that DF was present in the area and
perhaps a low-grade transmission was continuing during the previous years.
Thus, it may be speculated that a considerable proportion of cases, which
were diagnosed as “viral flu” in the past, may have been due to dengue virus
infection. On serological test in acute stage, only 39 (37.1%) cases were
found to be positive for dengue antibody. However, when the serum from the
patients was tested again in the convalescence stage, 97 (92.4%) cases were
found to be positive, indicating that they had recent dengue virus infection
(Table 1). Thus, the detection of a significant number of cases could have
been missed if the tests were not done again at the convalescence stage. A
second test should therefore be considered at the convalescence stage to
delineate the actual numbers of infection due to dengue.
Our study indicates the involvement of all age groups of the population with
adult predominance. This finding is not consistent with the epidemiological
data from other endemic countries in Asia where young
children were affected[14,15]. However, adults may also be the
major victims of DHF as reported in different epidemics where dengue was
endemic[16,17,18]. No significant age or sex difference among
patients was observed between primary and secondary infections in the present
study. Similar observations were also reported from an outbreak in Fiji[11].
Anorexia, nausea, vomiting, abdominal pain and ascitis were associated more
with secondary than primary dengue infections (Table 3). In the
present study, a statistically significant (P=0.01) association of
rash (32.9%) among primary dengue infection cases was demonstrated. The
predominant type of rash in primary infection was macular or maculopapular
whereas petechial rash was found frequently in secondary infection. Other
studies also reported similar association of rash in DF[11,19].
Petechiae were frequently found in DHF in Cambodian[20] and Thai
children[21], while it was less frequent in patients in our study.
In the present study, statistically
significant (P=0.002) hepatomegaly (13.4%) in secondary dengue
infection was noted. Hepatomegaly was also a common clinical finding
in several other studies[22-24]. Acute abdominal pain, which is
considered as an early sign of shock in DF/DHF[10], was present in
only 6 (6.2%) patients in the present study. This is similar to a study from Lucknow,
India, where abdominal
pain was found in only 5% of cases in an epidemic of DHF[19]. In
some studies, acute abdominal pain was strongly correlated with DHF and DSS[10,24,25].
In the present study, ascitis, a sign of plasma leakage, was present in only
5 (9.8%) secondary infection cases and was in agreement with the findings of
other studies[25,26].
The positive tourniquet test, which reflects capillary fragility and is used
as a guiding test for detecting dengue illness[27], was found in
only 18.6% cases in the present study. There was no statistically significant
difference in test positivity between primary and secondary DF patients
although it was more frequently positive in secondary DF. In most studies,
comparing DHF with classic DF, either a higher incidence of tourniquet test
positivity in DHF[23,26,28] or no difference between the two
groups[24,29], was reported. These variable findings are probably
because the pathogenesis of tourniquet positivity and other bleeding
manifestations in dengue cases are different. Moreover, the defects which
lead to increase in capillary fragility may also predispose to the
development of shock, thus indicating a better correlation of the test to
shock rather than to haemorrhage.
In our study, platelet counts of <1´105/mm3
were observed among 22 patients and were associated more with secondary than
primary infections (Table 4). Lack of
correlation between a moderately low platelet count and bleeding
manifestation in dengue patients has been noted by other investigators[8].
The bleeding in dengue is probably due to other factors with or without the
additive effect of thrombocytopenia. Haemoconcentration, the evidence of
plasma leakage and shock, was observed in 16 patients with secondary
infection and the association was statistically significant (P=0.02).
Increased haematocrit was found in 95.5% patients with shock in contrast to
31.7% cases without shock[21].
In the present study, the virus isolation rate was significantly higher in
patients with primary (68.2%) than secondary (31.2%) infections (P=0.018).
Similar results have been reported in a study from Fiji[11].
In Bantal, Indonesia,
the isolation rate was 100% among patients with primary dengue infection and
57% with secondary dengue infection[30]. However, a study from Thailand
reported a high rate of virus isolation in both primary (98%) as well as
secondary (93%) infections[31]. The reason for a higher isolation
rate in secondary infection was probably because blood samples were collected
at an early febrile phase (within 72 hours). In our study, the isolation rate
was also high in both primary (100%) and secondary (68%) infections in early
febrile period, i.e. on day 1 of fever. Thereafter, the rate of isolation was
always higher in primary than in secondary dengue infection in the subsequent
days of fever (Figure).
In conclusion, the clinical diagnosis is not very reliable in dengue
infection as there is a wide variation in the presence of various symptoms,
which may misguide the physician regarding the severity of the disease.
Therefore, the use of clinical case-definition results in inaccuracies. Thus,
in order to identify the cases accurately, one should take the help of a
simple and cheap diagnostic test that is able to diagnose accurately in the
laboratory. In this context ELISA is clearly very promising for the
confirmation of clinical diagnosis and to differentiate between primary and
secondary infections. This will guide the
clinician to take prompt and meticulous clinical management and early
hospitalization of severe cases. Indeed, it is hoped that accurate laboratory
diagnosis will not only reduce the morbidity and mortality but will also
reduce the economic burden of the patient and the government.
Acknowledgements
We express our sincere thanks to Dr Vorndam Vance, CDC Dengue Lab, San
Juan, Puerto Rico, USA,
and Dr Ichiro Kurane, Arbovirus Research Laboratory, NIID, Japan,
for their kind support in providing cell line and anti-dengue monoclonal
antibodies. We are also grateful to the patients who participated in the
study. We would like to thank Mr Tauhid Uddin Ahmed, Ex-PSO, IEDCR, Bangladesh,
and Noor-e-Jannat for providing mosquito colony and rearing techniques. We
would also like to thank Dr Bijon Kumar Sil, Ex-Senior Scientific Officer,
Bangladesh Livestock Research Institute, Savar, Dhaka,
Bangladesh. We also
express our gratitude to the Department of Medicine and Paediatrics, BSMMU,
and Dhaka Medical College, Bangladesh,
for their support in the study.
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