Statistical Study of Clinical Predictors of Influenza A (H1N1) in Iran

Hossain Faramarzi; Mahdie Khalily Zade; Maryam Bazrgar; Negar Panahi; Behrooz Fathi

doi:10.5812/archcid.14385

Statistical Study of Clinical Predictors of Influenza A (H1N1) in Iran

Hossain Faramarzi ¹ , Mahdie Khalily Zade ^{2
, *} , Maryam Bazrgar ³ , Negar Panahi ¹ and Behrooz Fathi ¹

Authors Information

¹ Department of Contiguous Disease Prevention, Health Deputy of Fars Medical University, Shiraz, IR Iran

² Clinical Research Unit, Afzalipour Hospital, Kerman University of Medical Sciences, Kerman, IR Iran

³ Department of Infectious Diseases, Islamic Azad University, Kazerun Branch, Kazerun, IR Iran

Article information

Archives of Clinical Infectious Diseases: July 9, 2012, 7 (3); 88-91
Published Online: July 2, 2012
Article Type: Research Article
Received: May 4, 2012
Revised: May 18, 2012
Accepted: June 7, 2012
DOI: 10.5812/archcid.14385

To Cite: Faramarzi H, Khalily Zade M, Bazrgar M, Panahi N, Fathi B. Statistical Study of Clinical Predictors of Influenza A (H1N1) in Iran, Arch Clin Infect Dis. 2012 ; 7(3):88-91. doi: 10.5812/archcid.14385.

Abstract

Copyright © 2012, Infectious Diseases and Tropical Medicine Research Center. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

1. Background

Influenza A (H1N1) spread widely in 2009 and emerged as a world health problem. Rapid diagnosis and treatment of severe infections can save many lives, therefore relying on clinical signs and symptoms are very important in epidemic incidents. The prevalence of signs and symptoms may be different in different areas because of different climates and genetic characteristics (1). On the other hand, a test with high sensitivity and specificity can help to confirm the relationship between signs, and symptoms and Influenza A (H1N1) incidence. We tried to find the best predicting symptoms and determine their correlation with RT-PCR test that is accounted as the gold standard in diagnosis of Influenza A (H1N1)(2).

2. Objectives

3. Patients and Methods

3.1. Sample Collection

This study was carried out in Ali-Asghar Hospital in Shiraz. This center had considered as a referral center for moderate and severe patients with probable Influenza A (H1N1) infection that had been supposed to cover the whole population of Fars province. 487 patients admitted in this center from October 26, 2009 to February 16, 2010.The epidemic had a soaring trend; therefore 116 patients who were referred to our center at epidemic onset were excluded due to the preparation of test materials and study design. We sent the nasal (56) or oropharynx samples (330) of 371 patients hospitalized or managed in the outpatient clinic with regard to advises of manufacturing company of RT-PCR test. The result was positive in 46(12.4%) patients. Questionnaire which has been filled in for each patient by trained physicians, including demographic data, signs and symptoms, laboratory data, contact with patients who had a history of Influenza (H1N1), risk factors, contacts, diagnostic and therapeutic managements. People with contact history without any respiratory symptoms were excluded from this study, thus PCR test was not performed. We analyzed several clinical diagnostic criteria of Influenza A (H1N1) infection. The center for Disease Control and Prevention (CDC) in US, defined the clinical diagnostic criteria as the presence of fever (more than 37.8°C) or recently medication with antipyretics and one or more of the following symptoms: rhinorrhea, nasal congestion, sore throat or cough(3). The World Health Organization (WHO) defined the clinical diagnostic criteria as the sudden onset of fever (38°C) and cough or sore throat (4). Influenza likeillness (ILI) criteria is defined by the presence of fever and two of four following symptoms: cough, sore throat, myalgia and headache (5).

3.2. Laboratory Assessment

Specimens were collected using nasal or oropharyngial swabs by trained nurses; and were kept in the cold chain refrigerator and sent to the laboratory. Influenza A (H1N1) positive case was defined as positive result of Real Time PCR using invitrogen ® one step qRT (Carlsbad, CA9 2008 USA). On the contrary, a negative result on RT-PCR was defined as negative Influenza A (H1N1) infection at first.

3.3. Statistical Analysis

Continuous variables were expressed as mean ± standard deviation or medians (with interquartile ranges), categorical variables were expressed as percentages. Demographic and clinical characteristics were compared between patients with PCR positive test and PCR negative test using the independent T-test for continuous variables and goodness of fit test for categorical variables. Then the prevalence of each symptom was calculated. All analysis was conducted by using SPSS 19. All statistical tests were two-sided and their predefined significance values were considered as P < 0.05.

4. Results

Among 371 patients who were included in this study, 46 patients (12.4 %) with positive PCR were known as confirmed patients. The average age of patients was 38.19 years (2-85 years).The average age of patients with positive PCR was 37.89 ± 16.55 years, and this amount in patients with negative PCR was 38.24 ± 17.13 years. Prevalence of Influenza A (H1N1) was higher in women (26 [56.52%]) than men (20 [43.48%]) among confirmed patients. The female- male ratio in patients with negative PCR was 195 : 129 (about 1.5 times). We could not find any significant correlation between PCR and gender using goodness-of-fit test (P = 0.832) (Figure 1).

Figure 1. Age distribution of Confirmed Patients

Most of the patients(13) were in the18-29-year age group (28.3%), followed by 30-39 years, including 12(26.1%), 40-49 years, 8 (17.4%) older than 60 years, 5 (10.9%), 50-59 years, 4 (8.7%), and younger than19 years, 3 (6.5%). In our study, the minimum age was 16, and the maximum was 85 years, the mode was 32 years, mean was 37.89 years and median age was 34 years old. We could not find any significant correlation between the age of confirmed patients, and patients with negative PCR test (Figure 1).19 patients managed in an outpatient clinic and other patients were hospitalized. We considered PCR test as a test with high sensitivity and specificity accounted the patients with negative PCR as non-Influenza A (H1N1) patients and compared this group with PCR positive patients group for their risk factors, symptoms, ILI, CDC and WHO criteria with chi-square and independent T-test; but there was not any significant correlation between the two groups given the mentioned factors. Even when we chose a group equal to the confirmed patients from PCR negative patients with regard to gender and age and number, we did not find any correlation. The best explanation for this unpredictable result could be the low sensitivity of PCR test. It is probably due to the faults in process of test in manufacturing, transferring, performance and/ or interpretation. Evaluation of confirmed patients' symptoms has shown that 54.4 % of them have not been met the defined criteria of CDC, 91.3% of WHO defined category and 38.09% of ILI ones. The most common symptoms in our study was cough (89.1%) and then dyspnea (82.6%), chill(86.1%), body temperature higher than 37.8°C (51%) (without recent antipyretic medication).

In evaluation of risk factors in the confirmed admitted patients we found hypertension and coronary heart disease in 8 cases (17.4%), cigarette smoking in 7 cases (15.2%), hematologic disorder in 7 cases (15.2%), older than 60 years patients in 5 cases (10.86), renal disease, pregnancy, diabetes mellitus and obesity, 4 cases in each group (8.7%), 18 years of age and younger, in3 cases (6.5%), opium addiction in 2 cases (4.3%), immunosuppression, 1 case (2.2%), old cerebrovascular accident, 3 cases (6.5%), and other neurologic disorders, 1case (2.2%), and we could not find any recognized risk factor in 5 patients. No correlation was observed between the confirmed patients, and patients with negative PCR test in terms of risk factors (Figure 2).

Figure 2. Frequency and Percentage of Confirmed Patients With Risk Factors in Ali-Asghar Hospital Shiraz, Iran

A) DM: diabetes mellitus; COPD: chronic obstructive pulmonary disease; the cause of Immunosuppressant was lymphoma

In a study from April 15 to May 5, a total of 642 confirmed cases with influenza A (H1N1) infection were identified in 41 states of America. The ages of patients ranged from 3 months to 81 years; 60% of patients were 18 years of age or younger. Of 399 patients for whom hospitalization status was known, 36 (9%) required hospitalization. Of 22 hospitalized patients with available data, 12 had characteristics that conferred an increased risk of severe seasonal influenza, 11 had pneumonia, 8 required admissions to an intensive care unit, 4 had respiratory failure, and 2 died (6). In a similar study in California on 553 patients with confirmed or probable Influenza A (H1N1) infection, the most common risk factors for Influenza A (H1N1) complications were chronic lung disease (37%), immunosuppression (17%), heart disease (17%), diabetes mellitus (17%) and obesity (13%)(7).

Interestingly, one of the confirmed patients in our study had received Influenza A (H1N1) vaccine and two patients had been immunized with seasonal vaccines. The frequency of symptoms in this study was as follow: cough in 40 cases ( 89.1%), dyspnea in 37 cases (82.6%) myalgia in 35 cases (76.1%), chill in 34 cases (73.9%), nausea in 25 cases (54.3%), fever >37.8° C in 24 cases ( 69.6%), vomiting and headache in 20 cases (each one 43.5%), diarrhea in 13 cases ( 28.3%), chest pain ( 26.1%), vertigo and sore throat in 10 cases (each one 23.9%), weakness in 4 cases (8.7%), back and flank pain in 1 case(each one 2.2%). We did not have any patients with red eye or sweating. Moreover, we did not find any significant correlation between the confirmed patients, and patients with negative PCR test in symptoms (Figure 3).

Figure 3. Frequency of Symptoms in Confirmed Patients Referred to Ali-Asghar Hospital, Shiraz, Iran (2009-2010)

Given the above-mentioned American study, the age of patients was 3 months to 81 years and 60% were under 18 years. The most common symptoms were fever (94%), cough (92%) and sore throat (66%). In that study 25% of patients had diarrhea and 25% had vomiting. In our study the body temperature ranged from 36 to 39.5°C and 45.65% had temperature lower than 37.7°C.Mean and median of temperature were 37.8, and mode was 37°C. We did not have any previous analgesic consumption in the confirmed patients. There was not found a significant correlation between the confirmed patients and patients with negative PCR test in high temperature (Figure 4).

Figure 4. Temperature of Confirmed Patients

In another study in America in 268 hospitalized patients, the clinical findings included fever (93%), cough (83%), shortness of breath (54%), fatigue or weakness (40%), chill (37%), myalgia (36%), rhinorrhea (36%), sore throat (31%), headache (31%), vomiting (29%), wheezing (24%), diarrhea (24%). The body temperature ranged from 36 to 40°C and 47.7% of patients had temperature lower than 37.7°C(8). According to suggested symptoms by CDC, We found fever and cough in 21 (45.7%), fever plus sore throat in 4 (8.7%), fever and rhinorrhea in 1 (2.2%) and fever and nasal congestion was not observed among the confirmed patients. Twenty five (54.4%) of these patients did not fulfill the CDC criteria. Sudden onset of fever higher than 38°C (without recently antipyretic) was reported in only 4 confirmed cases. By addition of one of the symptoms mentioned in WHO criteria (cough, rhinorrhea, sore throat and nasal congestion) we respectively had 1, 2, 4 and 2 patients coincident with these criteria. We did not find WHO criteria in 42 (91.3%) of these patients. We found that 16 (38.09%) of the confirmed patients did not meet ILI criteria. The mean hospitalization period was 4.45 days. Most of the patients were hospitalized for 3 days and the maximum days of hospitalization were 15 days. 6 (13.4%) of confirmed patients and 4 of PCR negative patients died in hospital. There were mostly patients with underlying diseases in the confirmed patient group including a16-year old patient with lymphoma, a 73 year-old case with hypertension, diabetes mellitus and COPD (1), a 20 year-old patient with obesity, a 80 year-old case with hypertension and coronary heart disease and 23 and 32 year old patients without any recognized underlying disease.

5. Discussion

PCR could not be a sensitive test for determination of confirmed patients with Influenza (H1N1) infection in our study because we do not expect that in an epidemic incidence, we just found H1N1 influenza in about one of eight patients with similar symptoms and signs. It is probably due to susceptibility of sampling method, improper temperature during transferring and maintenance of samples and test performance in spite of trained practitioners and even improper materials in spite of valid manufacturer company. It is reported because the need for preventing repeated faults in further studies seems to be necessary. The most common symptoms in the confirmed admitted patients were cough, dyspnea, chill, myalgia and fever. There was not any significant correlation between these symptoms or symptoms with less frequent rates or suggested symptoms by WHO or CDC or ILI with negative and positive PCR results. It was mainly due to the significant lower percentage of fever (51%) in the studied patients. The mean age of these patients was about 38 years that it was concordant with other studies.

Acknowledgements

Footnotes

Implication for health policy/practice/research/medical education: This study has two main massages. First, given different symptoms of flu H1N1 in the region under study, diagnosis cannot be made solely on the basis of fever. As a result, doctors should be more careful to categorize the patients according to CDC or WHO or ILI. Second, in line with the results of the study in the region under examination it is concluded that PCR has been an unreliable test for confirming the diagnosis. Notably, this test cannot be recommended for diagnostic purposes given its high expenses.

Authors’ Contribution: To prepare this manuscript, Dr Hossain Faramarzi designed and filled out the questionnaire. Dr Maryam Barzgar and Dr Negar Panahi visited the patients and filled out the questionnaire. Dr Khalily Zade analyzed the data and wrote the manuscript. Dr Behrooz Fathi did the statistical analysis and worked with SPSS software.

Financial Disclosure: There are no conflicts of interest among authors and their colleagues in this research.

Funding/Support: This study received no fund or financial support.

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