Background
Acute respiratory infections (ARIs) are a major cause of morbidity and mortality in most African countries, especially in children under five years. In terms of ARI etiology, respiratory virus infections are very common, with influenza virus the most common [
1‐
4]. Indeed, influenza contributes substantially to the morbidity and mortality of respiratory infections, and the highest burden of severe disease is experienced by the < 5 and ≥ 65 years age groups [
5]
. This vaccine preventable disease is characterized by seasonal epidemics that occur throughout the world every year, and occasional pandemics arising from novel subtypes. The World Health Organization (WHO) estimates that 3 to 5 million severe cases of influenza occur each year, among which 290,000 to 650,000 cases in the very young, elderly and patients with comorbidities [
6]. Almost all influenza-associated deaths in children (99%) occur in developing countries [
7].
The burden of influenza, and the gaps in understanding of influenza epidemiology in African countries, necessitate increasing surveillance of influenza. This is all the more pertinent following the emergence of avian influenza viruses and the latest influenza pandemic [
8,
9].
Currently, community-level surveillance depends on influenza-like illness (ILI) as severe acute respiratory infections (SARI) are a common feature of influenza surveillance but focuses on hospitalized cases. WHO has developed and disseminated standardized procedures, part of the Integrated Disease Surveillance and Response Strategy (IDSR), and proposes a simple, easily understandable and easily implemented definition of ILI for surveillance of Influenza. Since 2014, the WHO case definition for ILI is “any measured temperature greater than or equal to 38°C and cough, with onset within the last 10 days “ [
10‐
12].
However, the international standardization of this definition is difficult, because the optimal choice of case definition depends on population studied and the surveillance objectives. Other case definitions include, in addition to fever and cough, symptoms such as arthralgia, myalgia or headache. Further complication in the standardization of an international case definition derives from the fact that clinical symptoms of influenza are often nonspecific and not easily distinguishable from other infectious etiologies in patients with acute febrile illness [
13].
Many studies have compared the overall performances of case definitions recommended for influenza surveillance by WHO, the United States Centers for Disease Prevention and Control (CDC), and the European Center for Disease Control and Prevention (ECDC). However, the majority of these studies were focused on populations in developed countries, especially in hospitals. In resource-limited settings, data or knowledge about the performances of ILI case definitions is still very limited. Diagnosis in children under five remains difficult because of a clinical presentation often different from the symptoms included in ILI’s case definitions [
14‐
20].
Based on data collected in a cohort-based study conducted in a Senegalese rural area, we aimed i) to compare the performances of international clinical case definitions used by WHO, CDC, and ECDC for the diagnosis of influenza ii) to identify clinical factors associated with a positive diagnosis of influenza viruses and iii) to propose a diagnostic algorithm for the Senegalese context.
Results
General description of the population (Table 2)
Between January 1, 2013 and December 31, 2016 1653 FPEs were observed from 657 subjects. Of these 657 patients, 344 (52.4%) were female, 189 (29.0%) were children under 5 years and 251 (38.2%) presented with a single FPE. The median age of all patients was 10.4 years (IQR: 3.3–22.0 years). The comparison between subjects with single and multiple FPEs did not show any difference regarding the sex (
p = 0.40). However, a significantly higher proportion of patients with more than one FPE was found in patients >= 5 years (265/406, 65.3%) compared to those under 5 years of age (
p< 0.001).
Table 2
Description of the FPEs population, by sex, and age groups enrolled in the study, Dielmo and Ndiop, Senegal, 2013–2016
Gender |
Female | 344 (52.4) | 137 (54.6) | 207 (51.0) | 0.40 |
Age group (years) |
< 5 | 189 (29.0) | 48 (19.0) | 141 (34.7) | < 0.001 |
≥ 5 | 468 (71.2) | 203 (81.0) | 265 (65.3) | |
Confirmed influenza cases
Overall, 21.6% (357/1653) of the FPEs tested positive for influenza infection by RT- PCR. This proportion is higher for the year 2015 (37.0% versus 14.0, 18.0 and 15.0% for the years 2013, 2014 and 2016, respectively). A peak of influenza circulation was identified between weeks 33 and 49 of each year corresponding to the seasonality of influenza viruses in Senegal.
Among the 357 FPEs with positive PCR for influenza, 47.9% (171/357) were for influenza B and 52.1% (186/357) for influenza A. For influenza A cases, A (H1N1) pdm09 and A(H3N2) viruses were detected in 19.3% (69/357) and 31.9% (114/ 357), respectively. The distribution of influenza A and B subtypes were not significantly different between age groups (p = 0.407). Influenza A (H1N1) pdm09 and influenza B viruses predominated during the 2013 and 2015 seasons, while influenza A (H3N2) predominated during the 2014 and the 2016 seasons.
The proportion of FPEs associated with a positive PCR for influenza increased significantly with age: 14.6% (44/302), 22.0% (78/355), 23.0% (129/561), 23.2% (85/366) and 30.4% (21/69), respectively for 0- < 2 years, 2- < 5 years, 5- < 15 years, 15- < 50 years, > = 50 years (p-trend < 0.01).
Clinical symptoms (Table 3)
The most common symptoms reported among the 1653 FPEs were headache (92.1%), cough (55.3%), asthenia grade 3 (55.0%), and nasal discharge (42.2%) with a significant difference between FPEs with influenza virus-positive PCR compared to those with influenza-negative PCR (
p< 0.001; p< 0.001,
p=0.07 and
p< 0.0001, respectively). In children under 5 years, 657 FPEs (40.0%) were missing for each of the following symptoms sore throat, myalgia and arthralgia vs 356 FPEs (21.6%) missing for headache.
Table 3
FPEs with positive and negative PCR for influenza by sex, age groups, and clinical symptoms enrolled in the study, Dielmo and Ndiop, Senegal, 2013–2016
Gender |
Female | 827 (50.0) | 181 (51.0) | 646 (50.0) | 0.77 |
Age groups (years) |
0 – < 2 | 302 (18.3) | 44 (12.3) | 258 (20.0) | 0.01 |
2 - < 5 | 355 (21.4) | 78 (22.0) | 277 (21.3) | |
5 - < 15 | 561 (34.0) | 129 (36.1) | 432 (33.3) | |
15- < 50 | 366 (22.1) | 85 (24.0) | 281 (21.6) | |
≥ 50 | 69 (4.2) | 21 (6.0) | 48 (4.0) | |
Mean age (SD°) | 12.5 ± (14.6) | 14.0 ± (15.3) | 12.1 ± (14.5) | |
Median age (IIQ¶) | 7.1 ± (3.0–16.0) | 8.1 (3.6–18.0) | 7.0 (2.3–15.2) | |
Clinical symptoms |
Headache1 | 1184/1286 (92.1) | 291/301 (96.6) | 893/985 (90.6) | < 0.001 |
Cough | 914 (55.3) | 289 (81.0) | 625 (48.2) | < 0.001 |
Asthenia grade 0 | 229 (14.0) | 43 (12.0) | 186 (14.3) | 0.07 |
Asthenia grade 1 | 95 (6.0) | 13 (3.6) | 82 (6.3) | |
Asthenia grade 2 | 424 (25.6) | 87 (24.4) | 337 (26.0) | |
Asthenia grade 3 | 905 (55.0) | 214 (60.0) | 691 (53.3) | |
Anorexia | 759 (46.0) | 180 (50.4) | 579 (45.0) | 0.05 |
Nasal discharge | 697 (42.2) | 254 (71.1) | 443 (34.2) | < 0.0001 |
Myalgia1 | 604/992 (61.0) | 132/235 (56.2) | 472/757 (62.3) | 0.18 |
Chills | 416 (25.2) | 86 (24.1) | 330 (25.5) | 0.60 |
Nausea/vomiting | 326 (20.0) | 51 (14.3) | 275 (21.2) | < 0.01 |
Sore throat1 | 187/996 (19.0) | 68/235 (29.0) | 119/761 (15.6) | < 0.001 |
Sweats | 171 (10.3) | 35 (10.0) | 136 (10.6) | 0.71 |
Arthralgia1 | 157/996 (15.8) | 37/209 (18.0) | 120/787 (15.2) | 0.52 |
Diarrhea | 154 (9.3) | 20 (5.6) | 134 (10.3) | < 0.01 |
Abdominal pain | 59 (3.6) | 7 (2.0) | 52 (4.0) | 0.06 |
Dyspnea | 47 (3.0) | 19 (5.4) | 28 (2.2) | < 0.01 |
The performance of the three case definitions are shown in Table
4. Of the 1653 FPEs reported during the study period, 914 (55.3%), 915 (55.4%) and 932 (56.4%) met the WHO, CDC and ECDC ILI case definitions, respectively. Overall, the performances of the ILI case definitions used by WHO, CDC and ECDC were similar, globally and by age (
p=0.990). However, the performances of these case definitions varied significantly between age groups. Sensitivity was above 72.0% for any age group, while the specificity varied from 36.0% among the 0-< 2 years-old to 58.0% among 5- < 15 years-old and above 65.0% in adult population (≥15 years). The corresponding positive predictive values ranged from 18% for 0- < 2 year to 50.0% for patients above 50 years. No differences were observed in negative predictive values between age groups (
p> 0.05).
Table 4
Performance of WHO, CDC and ECDC case definitions tested for detection of influenza globally and by age groups, Dielmo and Ndiop study, Senegal, 2013–2016
All cases |
WHO | 81.0 (77.0–85.0) | 52.0 (49.1–54.5) | 32.0 (30.0–35.0) | 91.0 (89.0–93.1) |
CDC | 81.0 (77.0–85.1) | 52.0 (49.1–54.5) | 32.0 (30.0–35.0) | 91.0 (88.5–93.1) |
ECDC | 82.0 (77.5–85.5) | 50.5 (48.0–53.2) | 31.2 (28.2–34.2) | 91.0 (89.0–93.1) |
Age groups (years) |
0 - < 2 |
WHO | 82.0 (70.4–93.2) | 36.0 (30.0–41.5) | 18.0 (13.0 -- 23.3) | 92.0 (87.0–97.3) |
CDC | 82.0 (70.4–93.2) | 36.4 (30.6–42.3) | 18.0 (12.5–23.3) | 92.2 (86.0–97.4) |
ECDC | 84.1 (73.3–95.0) | 36.0 (30.0–41.5) | 18.2 (13.0–23.5) | 93.0 (88.0–98.0) |
2 - < 5 |
WHO | 86.0 (78.3–94.0) | 38.0 (32.3–44.0) | 28.0 (22.3–33.6) | 90.5 (85.2–96.0) |
CDC | 86.0 (77.0–94.0) | 38.2 (32.5–44.0) | 28.2 (22.5–34.0) | 90.6 (85.3–96.0) |
ECDC | 86.0 (78.2–94.0) | 38.0 (31.2–43.6) | 28.0 (22.3–34.0) | 90.5 (85.1–96.0) |
5 - < 15 |
WHO | 84.0 (77.3–90.1) | 58.0 (53.2–62.5) | 37.2 (31.6–42.7) | 92.2 (89.0–95.4) |
CDC | 84.4 (78.2–91.0) | 57.0 (52.3–61.6) | 37.0 (31.5–42.5) | 92.5 (89.3–95.6) |
ECDC | 84.5 (78.2–91.0) | 56.0 (51.3–61.0) | 36.5 (31.0–42.0) | 92.3 (89.1–95.5) |
15 - < 50 |
WHO | 72.0 (62.2–81.3) | 69.0 (63.3–74.1) | 41.0 (33.1–49.0) | 89.0 (85.0–93.2) |
CDC | 72.0 (62.2–81.3) | 69.0 (63.6–74.4) | 41.2 (33.3–49.2) | 89.0 (85.0–93.1) |
ECDC | 72.0 (62.2–81.3) | 66.0 (60.3–71.4) | 39.0 (31.4–46.6) | 88.5 (84.2–93.0) |
≥ 50 |
WHO | 81.0 (64.2–980) | 65.3 (52.0–78.6) | 50.0 (33.2–67.0) | 88.5 (78.0–99.1) |
CDC | 81.0 (64.1–98.0) | 65.0 (51.0–78.1) | 50.0 (33.1–67.0) | 88.6 (78.1–99.2) |
ECDC | 81.0 (64.1–98.0) | 65.0 (51.1–78.1) | 50.0 (33.2–67.0) | 88.6 (78.1–99.1) |
Clinical predictors associated with positive PCR for influenza (Tables 5 & 6)
In univariate analysis, only cough, nasal discharge, headache, asthenia, diarrhea and dyspnea were found to be significantly associated with a positive PCR for influenza in all age group. The presence of sore throat, anorexia and nausea/vomiting were significantly associated with influenza in the age group >= 5 years.
Table 5
factors associated with laboratory-confirmed influenza in children under 5 years, Dielmo and Ndiop cohort study, Senegal, 2013–2016 (n = 6571)
Sex |
Women | 1.12 | [0.78–1.61] | 0.53 | |
Clinical symptomsa |
Headacheb | 1.5 | [1.00–2.32] | 0.06 | | | |
Cough | 3.15 | [2.0–5.12] | < 0.0001 | 2.21 | [1.30–3.85] | < 0.01 |
Asthenia grade 0 | Ref.* | | | | | |
Asthenia grade 1 | 0.35 | [0.12–1.01] | 0.05 | | | |
Asthenia grade 2 | 1.0 | [0.52–1.63] | 0.77 | | | |
Asthenia grade 3 | 0.84 | [0.50–1.38] | 0.50 | | | |
Anorexia | 1.13 | [0.80–1.64] | 0.52 | | | |
Chills | 0.80 | [0.35–1.80] | 0.57 | | | |
Nausea/Vomiting | 0.75 | [0.45–1.24] | 0.26 | | | |
Sweats | 0.77 | [0.33–1.74] | 0.60 | | | |
Diarrhea | 0.65 | [0.30–1.35] | 0.24 | | | |
Nasal discharge | 2.82 | [1.81–4.41] | < 0.0001 | 2.14 | [1.35–3.40] | < 0.01 |
Abdominal pain | 0.33 | [0.42–2.60] | 0.30 | | | |
Dyspnea | 2.20 | [1.0–5.01] | 0.06 | | | |
Table 6
factors associated with laboratory-confirmed influenza in patients >= 5 years, Dielmo and Ndiop cohort study, Senegal, 2013–2016 (n = 9962)
Sex |
Women | 1.0 | [0.73–1.30] | 0.85 | |
Clinical symptoms |
Headache1 | 2.74 | [1.16–6.50] | 0.02 | | | |
Cough | 6.26 | [4.41–8.91] | < 0.0001 | 2.70 | [1.94–3.72] | < 0.0001 |
Sore throat1 | 2.14 | [1.50–3.10] | < 0.0001 | 1.75 | [1.20–2.60] | < 0.01 |
Asthenia grade 0 | Ref.* | | | | |
Asthenia grade 1 | 1.30 | [0.52–3.20] | 0.60 | 0.72 | [0.36–1.50] |
Asthenia grade 2 | 1.41 | [0.74–2.70] | 0.30 | 1.15 | [0.75–1.80] |
Asthenia grade 3 | 1.95 | [1.10–3.52] | 0.03 | 1.93 | [1.30–2.85] | < 0.01 |
Anorexia | 1.30 | [0.95–1.72] | 0.11 | | |
Myalgia1 | 1.0 | [0.75–1.32] | 0.95 | | |
Chills | 1.0 | [0.61–1.53] | 0.87 | | |
Nausea/Vomiting | 0.55 | [0.40–0.81] | < 0.01 | | |
Sweats | 0.72 | [0.60–1.50] | 0.90 | | |
Arthralgia1 | 1.0 | [0.70–1.51] | 0.96 | | |
Diarrhea | 0.44 | [0.21–0.95] | 0.04 | | |
Nasal discharge | 7.38 | [5.32–10.25] | < 0.0001 | 3.30 | [2.44–4.43] | < 0.0001 |
Abdominal pain | 0.50 | [0.20–1.15] | 0.31 | | |
Dyspnea | 3.70 | [1.55–8.80] | < 0.01 | | |
In the multivariate model stratified by age group, cough and nasal discharge were significantly associated with influenza for all age group. Whereas, sore throat and grade 3 asthenia were being independently associated with influenza in the age group >= 5 years. (Tables
5 &
6).
Table
7 shows that the addition of “nasal discharge” as a symptom to the WHO case definition (“fever > = 38 °C + cough + nasal discharge”) resulted in a decrease of sensitivity, regardless of age group, but equally in an increase of specificity. The decrease of sensitivity was significant (
p < 0.05) for age groups ranging from 0- < 2 years to 15- < 50 years, but not among patients older than 50 years old (
p = 0.16). The increase in specificity was significant (p < 0.05) for all age groups.
Table 7
Influenza Diagnostic Algorithm Performance Including the following Symptoms: Fever> = 38 °C + Cough + Nasal discharge
Fever >=38°+ Cough + Nasal discharge | % (95% CI) | % (95% CI) | % (95% CI) | % (95% CI) | |
All cases (n=1653) | 65.0 (60.0–70.0) | 72.0 (69.5–74.4) | 40.0 (36.1–40.0) | 88.2 (86.2–90.1) | < 0.0001 |
Age groups (years) |
0 - < 2 | 59.1 (44.6–73.6) | 60.0 (54.0–66.0) | 20.0 (13.1–27.0) | 89.5 (85.0–94.1) | < 0.01 |
2 - < 5 | 69.2 (59.0–79.4) | 60.6 (55.0–66.4) | 33.1 (26.0–40.3) | 87.5 (83.0–92.2) | < 0.001 |
5 - < 15 | 69.0 (61.0–77.0) | 77.5 (73.6–81.5) | 48.0 (41.0–55.2) | 89.3 (86.2–92.4) | < 0.001 |
15 - < 50 | 56.5 (46.0–67.0) | 84.3 (80.1–88.6) | 52.2 (42.0–62.4) | 87.0 (82.5–90.5) | < 0.001 |
≥ 50 | 71.4 (52.1–91.0) | 81.2 (70.1–92.2) | 62.5 (43.1–82.0) | 87.0 (77.2–97.0) | 0.16 |
The negative predictive values were all >= 87.0%. A nasal discharge together with fever/cough had the highest negative predictive value of 89.5% (IC95%: 85.0–94.1) but also the lowest positive predictive value of 20.0% (IC95%: 13.1–27.0) among the younger patients (Table
7).
Discussion
This study evaluated both the performance of influenza case definitions and the clinical factors associated with the diagnosis of influenza, based on data from two sites within the national influenza surveillance network. Few studies have been conducted in a community context in rural areas in sub-Saharan Africa among patients presenting with fever, with or without respiratory signs (4). The strengths of this study are that: (i) influenza infection was confirmed by the RT-PCR technique – considered the gold standard; (ii) the database included a large pediatric population and has captured cases from several influenza seasons and different influenza sub-types.
During the 2013–2016 period, a significant proportion of the FPEs was confirmed by PCR to be positive for influenza PCR, with the occurrence of regular seasonal influenza epidemics between weeks 33 and 49 especially during rainy seasons. Since the beginning of circulation of the A (H1N1)pdm influenza strain in 2010 in Senegal, moderate peaks were observed between weeks 3 and 20 particularly in certain areas of the country. The study of environmental and climatic factors as well as the phylogenetic of the pandemic strain could lead to a better understanding of this apparent seasonality.
Our study found that patients more than 5 years were more often affected by febrile illnesses, with etiology being more often linked to respiratory tract pathogens other than influenza compared to the pediatric population [
26]. In children under 5 years, the WHO, CDC and ECDC case definitions appear sensitive but not specific, especially in younger patients. The case definitions specificity improved in patients over 15 years old. This poor specificity of ILI case definitions in pediatric populations has been widely reported [
13,
15‐
17,
27‐
29]. The variety of other potential co-infecting pathogens may have caused the lower specificity of case definitions in the younger age groups [
16].
The relative performances of the WHO, CDC and ECDC ILI definitions in this study were similar to each other and to those obtained in other studies conducted in India (sensitivity 69–78% and specificity 43–65%) [
13], and in Taiwan (sensitivity of 78% and specificity of 50% for the CDC case definition) in 2012 [
30]. However, they differ from those found in a study conducted in France in 2016 (sensitivity between 84 and 98% and specificity between 4 and 27%) (
20), and in another study carried out in Kenya in 2011 (sensitivity of 27% and specificity of 70%) [
31]. These discrepancies can be explained by the different criteria for enrolling patients in studies, geographical influenza burden differences, and even the duration of the study.
Data collected between 2013 and 2016 in our patients’ cohort presenting with an FPE revealed, as previously reported in other studies, an increased risk of influenza infection that varies by age groups especially for those over 50 years [
13,
20,
28,
29]. Previous studies have shown that people aged 50 and over with underlying health problems have a higher risk of influenza infection [
32]. Other symptoms (sore throat, weakness) were also associated with an increased risk of influenza infection consistent with previous publications [
4,
33]. However, in some studies, sore throat appeared to be associated with a decreased risk of influenza infection and supports the updated WHO definition from 2011 that removed sore throat from its definition [
11,
20]. Cough was found as one of the most common symptoms associated with influenza in febrile patients of all age group, which is consistent with the results of other studies, and warranted the adoption of “fever ≥ 38° C and cough” as the WHO’s revised case definition of ILI in 2011 [
13,
27‐
30,
34‐
36].
The other significant symptom related to positive diagnosis of influenza in all age group was nasal discharge, similar to Kathryn et al. findings [
37]. We found the algorithm including “fever ≥ 38° C, cough and nasal discharge” less sensitive, especially in the younger patients, but more specific particularly in children. The corresponding negative predictive value was found to be higher in this age group compared to other age groups. This algorithm (“fever ≥ 38 ° C, cough and nasal discharge”) was reported in 2015 by Shah et al. as offering the best balance between sensitivity and specificity in children under 5 years of age [
29].
The use of a very sensitive case definition requires substantial funds and resources for the processing of biological samples. In resource-limited settings, the addition of a symptom that enhances specificity criteria could help to reduce the number of false influenza positive samples collected and analyzed, which are otherwise costly and not informative about influenza viral types or subtypes in circulation. In our cohort, the addition of the “nasal discharge” to the WHO definition of ILI would reduce the number of false positives by 10% in Dielmo and Ndiop over the 2013–2016 period. This is important in light of the case definition encouraging the inclusion of other respiratory signs and symptoms in addition to a cough and fever.
Limits and perspectives
This study has some limitations. The database used has a longitudinal character, implying the realization of repeated observations in several subjects, the same subject being able to have several FPEs. There is therefore a risk of correlation between these repeated observations in the same subject. The sampling and analysis were performed only in febrile patients, and it cannot be ruled out that the sensitivity was overestimated and the specificity underestimated. In addition, some of the symptoms or parameters included in the CDC and ECDC case definitions were not available in the database (malaise or shortness of breath), or did not meet the inclusion criteria (fever between 37.8 °C and 38 °C), which may have impacted the results by decreasing the performances of the different case definitions. Other limitations include missing or incomplete data among children under 5 years such as sore throat, arthralgia, myalgia and headache. The difficulty of eliciting a symptomatic history when the patient have limited language skills may contribute to this situation. This topic has been picked up in the literature and it is now established that this type of analysis, since it does not use all the information available in the database, induces a loss of power. In the case of a multivariate analysis, this type of analysis can also affect the variable selection process. Carry out a complete case analysis by including symptoms with missing data could highlight some of these symptoms as predictors of influenza infection.
The results of this study, in particular the performance of the “fever ≥ 38 ° C, cough and runny nose” algorithm for influenza surveillance, should now be tested across all 4S sentinel sites in order to confirm the results obtained in Dielmo and Ndiop.
Acknowledgements
We thank all the focal points and staff of Dielmo and Ndiop sentinel sites, laboratory staff at IPD, field interviewers, and community workers for their involvement in this project. We also thank, Joseph Faye, Debora Goudiaby, Marie Louise Senghor, Amary Fall, Davy Kiori and all those who have contributed, either directly or indirectly, to the realisation of this work. We convey special thanks to Kathleen Victoir, Nicole Prada and colleagues from department of Institut Pasteur International Network for their unwavering support.
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