Indexes | Current issue | Disclaimer
Table of contents | Full text PDF (499 KB) | Previous article | Next article
Introduction | Methods | Results | Discussion | References
Shweta Sharma, Emmy Sneath, Allen C Cheng, N Deborah Friedman
Abstract
Introduction: The clinical and economic burden of infectious diseases is a substantial public health problem. The determination of the relative contributions of these diseases to the overall healthcare burden can inform priority setting, planning, and decision-making in healthcare and establish a baseline for future comparisons. Few recent studies have presented definitive data on the incidence of infectious diseases requiring hospitalisation in the Southern Hemisphere. We identified the age-specific number of hospitalisations and severe infections requiring intensive care unit admissions in the Geelong region. This was then extrapolated to calculate incidence data of these selected infectious diseases in Australia.
Methods: This observational study was performed in Geelong, the second largest city in Victoria (population of 194,566 adults ≥ 20 years). University Hospital Geelong is a public hospital with the only emergency department in Geelong during the years 2011 and 2013. Patients were identified using the International Classification of Diseases, 10th Revision Australian Modification discharge codes and diagnoses were confirmed using clinical, radiological and laboratory criteria.
Results: Between 2011 and 2013, there were 1,506 admissions for community-acquired pneumonia (CAP) (245.3 per 100,000 person years), 1,613 admissions for skin and soft tissue infections (SSTIs) (271.2 per 100,000 person years), 479 for pyelonephritis (79.7 per 100,000 person years), 131 for influenza (22.4 per 100,000 person years), and 52 for meningitis (8.9 per 100,000 person years).
Conclusion: SSTI, CAP, and pyelonephritis are common syndromes responsible for admission to hospital in Australia, with an incidence that increases with age. CAP is a major cause of morbidity and mortality in the Australian population. Influenza is associated with the greatest percentage of severe infections requiring intensive care unit admission. Commun Dis Intell 2017;41(1):E49–E57.
Introduction
An important input to decision-making and planning in health is an accurate, consistent and comparative description of the burden of diseases and service demand.1 While most reported data are based on the secondary use of administrative databases, there is concern about the accuracy of coded information.2 There is a paucity of definitive data on the incidence of common infectious diseases requiring hospitalisation in the Southern Hemisphere. Additionally, while several studies have examined the epidemiology of specific diseases and syndromes, they have not been generally compared within the same population to allow for determination of the relative contributions of different infectious diseases to the overall healthcare burden.3,4
The Geelong region provides an ideal opportunity to study the epidemiology of disease as it has a well-defined population and is demographically similar with regards to age distribution, ethnic makeup, and socioeconomic status to the overall Australian population.5 Epidemiological data from this population has been used in Australian studies of osteoporosis (Geelong Osteoporosis Study), diabetes (Fremantle Diabetes Study), inflammatory bowel disease, and infectious diseases internationally.6–8
We aimed to estimate the age-specific incidence, mortality and length of stay of selected common infectious diseases (including the incidence of severe infection) in Australia by extrapolating incidence data from the Geelong region.
Methods
Study setting
Geelong is the second largest city in Victoria with an adult population (≥ 20 years) of approximately 194,566 (Appendix 1).5 The median age of the population is 40 years, the population is ethnically diverse, and health care is both public and private. University Hospital Geelong is a public hospital, which had the only emergency department in Geelong during the years 2011 and 2013. Discharge data for all hospital admissions are coded according to the International Classification of Diseases, 10th Revision Australian Modification (ICD-10-AM).9
Data collection
Patients (≥ 20 years) with community-acquired pneumonia (CAP), skin and soft tissue infection (SSTI), influenza, meningitis, and pyelonephritis were identified from discharge coding at the University Hospital Geelong. Ages above 20 were included as the Australian Bureau of Statistics divides resident population in factions, allowing suitable comparison from ages ≥ 20 onwards. A list of ICD-10-AM codes for these conditions is included in Appendix 2. This study included the above diagnoses that were identified as the presenting problem (P prefix) and ICD-10-AM code.
We excluded the following: those not admitted to hospital overnight, those transferred from other regional hospitals, and those with a postcode of residence outside the Geelong region. Data from those transferred to private hospitals was utilised for estimates of infection incidence but not used to estimate the total length of stay or presence of severe infections. The medical records of patients were examined manually by researchers (SS, ES) to confirm community onset and diagnosis against defined study criteria. Patients were excluded if they were subsequently admitted to any hospital within 14 days of the current admission, or if they developed infection within 14 days of an interventional procedure (e.g. pneumonia post gastroscopy). Individual patients were represented in the data more than once for separate incidents of infection over the study period. Data extracted included; age, gender, length of hospital stay, admission to an intensive care unit (ICU), mortality, and postcode of residence.
Definitions
Severe and prolonged infection
Severe infection was defined as an admission to ICU secondary to CAP, SSTI, influenza, meningitis, or pyelonephritis. Prolonged infection was defined as a hospital stay of more than 14 days.
Community-acquired pneumonia
A diagnosis of CAP met the following criteria:10
- A history of at least 2 of the following: new onset purulent sputum, change in character of sputum or increased respiratory secretions, new onset or worsening cough, dyspnea or tachypnea, rales or bronchial breath sounds, worsening gas exchange or oxygen saturation or increased oxygen requirements.
- At least 1 of the following 3: fever > 38.0°C, leukopenia (white cell count < 4,000 cells per mm3) or leukocytosis (white cell count ≥ 12,000 cells per mm3). If patient age was greater than 70 years, altered mental status with no other recognisable cause also met this criterion.
Evidence of new infiltrates, consolidation, and/or cavitation on chest x-ray.
Skin and soft tissue infections
Patients with a clinical diagnosis of cellulitis, erysipelas, abscesses, furuncles and carbuncles, necrotising infections, and infections associated with bites (human and animal) according to the Infectious Diseases Society of America criteria were included.11 Surgical site infections were excluded.
Infected skin ulcers were only included if antibiotic therapy was initiated. Patients with isolated bursitis without overlying cellulitis were excluded. Patients were excluded if the sole site of infection involved bone (osteomyelitis) or muscle. If patients also had additional superficial infection (for example osteomyelitis in the setting of superficial SSTI) they were included. Patients with wounds secondary to bites were excluded if they were admitted for repair and washout prophylactically to prevent infection, however, patients who presented with an infected bite wound without prior intervention were included.
Pyelonephritis
Patients with pyelonephritis were included if they met the following criteria.
- Temperature > 38.0°C or < 36.0°C and/or bacteraemia with a uro-pathogen.
- The documented presence of symptoms referable to the upper or lower urinary tract including flank and/or costo-vertebral angle tenderness, and symptoms of cystitis (dysuria, frequency, supra pubic tenderness) and/or confusion in patients over 70 years of age OR a positive urine culture (with no more than 2 species of organism, at least 1 of which was quantified as 105 colony forming units per milliliter of urine.
Patients with an indwelling catheter or ureteric stent in situ were excluded.
Influenza
All laboratory-confirmed influenza A or B cases (by nucleic acid testing or culture from an appropriate upper respiratory tract swab specimen) were included. Data on patients with confirmed influenza at the University Hospital Geelong are collected annually for a national sentinel surveillance program.12
Meningitis
Patients were diagnosed with meningitis if they had either positive growth of a pathogen in the cerebrospinal fluid; OR clinical findings consistent with meningitis, i.e. fever, nuchal rigidity, and/or change in mental status with cerebrospinal fluid findings consistent with meningitis (i.e., elevated white blood cell count, diminished glucose concentration, and elevated protein concentration).
Statistical analysis
Age-specific incidence was calculated for 2011 to 2013 based on the number of cases and the person-time at risk in 10-year age groups. Denominator information for the Geelong (statistical area level 4) statistical region was obtained for the mid-interval population (2012) from the Australian Bureau of Statistics.5 Incidence rates for each infection, by age group, were calculated using Microsoft Excel. Age- and sex-stratified incidence was calculated and extrapolated using the Australian Census annual population estimates for the year 2012. Standard errors for age stratified strata was calculated using the Poisson distribution, using the method of Rothman implemented in Stata 14.1 (College Station, Texas).13 The standard error for directly standardised counts was estimated using the weighted sum of the age-specific variances.
Ethical considerations
This study was approved by the Barwon Health Human Research and Ethics Committee (local reference number 14/89).
Results
Community acquired pneumonia
During the study period, there were 1,506 admissions with CAP occurring among 1,432 patients (4.9% were recurrent admissions) and 1,880 admissions identified using ICD-10-AM criteria that did not meet inclusion criteria. The mean length of hospital stay was 7 days (median 5 days; range 1–54 days) and 11.3% of admissions were prolonged. CAP was associated with the highest inpatient mortality and the highest number of ICU admissions compared with the other infectious diseases in this study, with 118 deaths (8.2% of admissions) and 148 ICU admissions (9.8% of admissions) over the 3 years (Table 1).
Infection | Number of admissions | Number of patients | Annual incidence per 100,000 person years | Mean patient age (median; range) in years | Mean length of stay (median; range) in days | Overall mortality | Number of ICU admissions | Percentage of prolonged stay | ||
---|---|---|---|---|---|---|---|---|---|---|
n | % | n | % | |||||||
CAP = community-acquired pneumonia SSTI = skin and soft tissue infection ICU = intensive care unit |
||||||||||
CAP | 1,506 | 1,432 | 245.3 | 69.3 (75; 20–102) | 7 (5; 1–65) | 118 | 7.8 | 148 | 9.8 | 10.7 |
SSTI | 1,613 | 1,583 | 271.2 | 56.4 (56; 20–97) | 5.3 (3; 1–49) | 19 | 1.2 | 24 | 1.5 | 7.0 |
Pyelonephritis | 479 | 465 | 79.7 | 69.8 (73; 20–93) | 6.6 (4; 1–48) | 10 | 2.1 | 3 | 0.6 | 10.2 |
Influenza | 131 | 131 | 22.4 | 57.4 (59; 20–97) | 5.8 (4; 1–54) | 6 | 4.6 | 22 | 16.8 | 5.4 |
Meningitis | 52 | 52 | 8.9 | 35.7 (33; 20–78) | 4.9 (3; 1–21) | 0 | 0.0 | 6 | 11.5 | 5.8 |
Patients were of mean age 69.3 years (median 75; range 20–102 years) (Table 1). The annual incidence of CAP was 245.3 per 100,000 person years. The incidence of CAP increased with age, with an incidence in those over 80 years of age of 1,453.6 per 100,000 person years (Table 2 and Figure).
Infection/age group (years) |
Geelong population | Number of admissions | Incidence per 100,000 person years | Australian population | Estimated Australian cases | ||
---|---|---|---|---|---|---|---|
% | 95% CI* | n | 95% CI | ||||
CI: confidence intervals
CAP = community-acquired pneumonia |
|||||||
CAP | 583,698 | 1,432 | 245.3 | 232.7–258.0 | 16,961,179 | 36,624 | 30,117–43,131 |
20–29 | 32,643 | 35 | 35.7 | 24.9–49.7 | 3,315,513 | 1,185 | 825–1,648 |
30–39 | 32,638 | 79 | 80.7 | 63.9–100.6 | 3,143,423 | 2,536 | 2,008–3,161 |
40–49 | 35,715 | 96 | 89.6 | 72.6–109.4 | 3,166,479 | 2,837 | 2,298–3,464 |
50–59 | 34,594 | 144 | 138.8 | 117.0–163.4 | 2,890,170 | 4,010 | 3,382–4,721 |
60–69 | 28,605 | 209 | 243.5 | 211.6–278.9 | 2,248,930 | 5,477 | 4,760–6,272 |
70–79 | 17,759 | 319 | 598.8 | 534.8–668.2 | 1,328,080 | 7,952 | 7,103–8,874 |
>80 | 12,612 | 550 | 1,453.6 | 1,334.7–1,580.4 | 868,584 | 12,626 | 11,593–13,727 |
SSTI | 583,698 | 1,583 | 271.2 | 257.9–284.5 | 16,961,179 | 43,773 | 37,542–50,004 |
20–29 | 32,643 | 134 | 136.8 | 114.6–162.1 | 3,315,513 | 4,537 | 3,801–5,373 |
30–39 | 32,638 | 196 | 200.2 | 173.1–230.2 | 3,143,423 | 6,293 | 5,442–7,238 |
40–49 | 35,715 | 261 | 243.6 | 214.9–275.0 | 3,166,479 | 7,714 | 6,806–8,708 |
50–59 | 34,594 | 251 | 241.9 | 212.9–273.7 | 2,890,170 | 6,990 | 6,152–7,910 |
60–69 | 28,605 | 237 | 276.2 | 242.1–313.7 | 2,248,930 | 6,211 | 5,445–7,054 |
70–79 | 17,759 | 233 | 437.3 | 383.0–497.2 | 1,328,080 | 5,808 | 5,086–6,604 |
>80 | 12,612 | 271 | 716.2 | 633.5–806.8 | 868,584 | 6,221 | 5,502–7,008 |
Pyelonephritis | 583,698 | 465 | 79.7 | 72.4–86.9 | 16,961,179 | 11,911 | 8,211–15,612 |
20–29 | 32,643 | 21 | 21.4 | 13.3–32.8 | 3,315,513 | 711 | 440–1,087 |
30–39 | 32,638 | 17 | 17.4 | 10.1–27.8 | 3,143,423 | 546 | 318–874 |
40–49 | 35,715 | 23 | 21.5 | 13.6–32.2 | 3,166,479 | 680 | 431–1,020 |
50–59 | 34,594 | 50 | 48.2 | 35.8–63.5 | 2,890,170 | 1,392 | 1,034–1,836 |
60–69 | 28,605 | 71 | 82.7 | 64.6–104.4 | 2,248,930 | 1,861 | 1,453–2,347 |
70–79 | 17,759 | 114 | 214.0 | 176.5–257.1 | 1,328,080 | 2,842 | 2,344–3,414 |
>80 | 12,612 | 169 | 446.7 | 381.9–519.3 | 868,584 | 3,880 | 3,317–4,511 |
Influenza | 583,698 | 131 | 22.4 | 18.6–26.3 | 16,961,179 | 3,625 | 1,800–5,450 |
20–29 | 32,643 | 16 | 16.3 | 9.3–26.5 | 3,315,513 | 542 | 310–880 |
30–39 | 32,638 | 17 | 17.4 | 10.1–27.8 | 3,143,423 | 546 | 318–874 |
40–49 | 35,715 | 16 | 14.9 | 8.5–24.3 | 3,166,479 | 473 | 270–768 |
50–59 | 34,594 | 17 | 16.4 | 9.5–26.2 | 2,890,170 | 473 | 276–758 |
60–69 | 28,605 | 19 | 22.1 | 13.3–34.6 | 2,248,930 | 498 | 300–778 |
70–79 | 17,759 | 19 | 35.7 | 21.5–55.7 | 1,328,080 | 474 | 285–740 |
>80 | 12,612 | 27 | 71.4 | 47.0–103.8 | 868,584 | 620 | 408–902 |
Meningitis | 583,698 | 52 | 8.9 | 6.5–11.3 | 16,961,179 | 1628 | 592–2,663 |
20–29 | 32,643 | 16 | 16.3 | 9.3–26.5 | 3,315,513 | 542 | 310–880 |
30–39 | 32,638 | 17 | 17.4 | 10.1–27.8 | 3,143,423 | 546 | 318–874 |
40–49 | 35,715 | 8 | 7.5 | 3.2–14.7 | 3,166,479 | 237 | 102–466 |
50–59 | 34,594 | 10 | 9.6 | 4.6–17.7 | 2,890,170 | 279 | 134–512 |
60–69 | 2,8605 | 0 | 0.0 | 0.0–4.3 | 2,248,930 | 0 | 0–97 |
70–79 | 17,759 | 1 | 1.9 | 0.0–10.5 | 1,328,080 | 25 | 1–139 |
>80 | 12,612 | 0 | 0.0 | 0.0–9.7 | 868,584 | 0 | 0–85 |
Figure: Estimated annual incidence of selected community-acquired infectious diseases in Australia, 2011 to 2013. Stratified according to age group
Text version of Figure (TXT 1 KB)
Skin and soft tissue infection
During the study period, there were 1,613 admissions due to SSTI occurring among 1,583 patients. This included 1,133 diagnoses of cellulitis, 292 cases of abscess, 146 infected ulcers, and 42 necrotising soft tissue infections. A total of 2,598 admissions were excluded, as they did not meet the criteria. The mean length of hospital stay was 5.3 days (median 3 days; range 1–49 days) and 7.0% of patients had a prolonged length of stay. A total of 24 patients (1.5%) were admitted to ICU and 19 patients (1.2%) died.
The annual incidence of SSTI was 271.2 per 100,000 person years and rose from 136.8 per 100,000 in the 20–29-years age group to 716.2 per 100,000 in persons aged over 80 years (Figure). Overall, SSTIs were estimated to result in 45,999 admissions to hospital each year (Table 2).
Pyelonephritis
During the study period, there were 479 admissions among 465 patients with a diagnosis of pyelonephritis (Table 1). A total of 3,962 admissions were excluded based on the defined criteria for pyelonephritis. The average length of stay was 6.6 days (median 4 days; range 1–48 days).
The incidence of pyelonephritis progressively increased after the age of 70 years with a much higher incidence among women than men (98.3 versus 59.9 per 100,000 person years in men) (Figure). The average age of patients presenting with pyelonephritis was 69.8 years, the highest compared with any other infection reviewed (median 73; range 20–93 years) (Table 1).
Of all admissions with pyelonephritis, 441 (92.0%) had positive urine microbiology results, 153 patients (32%) were bacteraemic and 27 cases were identified based on clinical symptoms and signs consistent with systemic illness. Causative pathogens isolated from blood culture, urine, or both; in order of incidence included Escherichia coli, Klebsiella pneumoniae,Enterococcus faecalis,Pseudomonas aeruginosa,Proteus mirabilis, Morganella morganii, Enterobacter aerogenes, and Citrobacter koseri.
A total of 3 patients were admitted to ICU (0.6%) and 10 (2.1%) died.
Influenza
During the study period, there were 131 cases of influenza. The mean age of patients was 57.4 years (median 59; range 20–97 years). Although the mean length of stay was 5.8 days, the range was 1–54 days (median 4 days). Influenza contributed to the largest percentage of admissions to ICU (17%) for any infection in this study (Table 1). In addition, 5.4% of patients had a prolonged length of stay and nearly 5% of the patients died.
The annual incidence of influenza was 22.4 per 100,000 person years. The majority of cases (95 of 131, 72.5%) occurred in the winter months of July to September. Overall, influenza is expected to result in more than 15,000 admissions to hospital in Australia annually (Table 2).
Meningitis
During the study period, 52 patients were admitted with meningitis (128 did not meet criteria). Of these, 7 cases (14.3%) had bacterial meningitis, and of the 42 patients with aseptic meningitis, a viral etiology was diagnosed in 16 cases. The mean age of patients with meningitis was the youngest of all infections at 35.7 years (median 33; range 20–78) with only 1 patient above the age of 60 years. The annual incidence of meningitis was 8.9 per 100,000 person years and the average length of stay was 4.9 days (median 3 days; range 1–21 days). A total of 6 (11.5%) required ICU admission and there were no deaths.
Discussion
In contrast with most previous population-based studies using coded data alone, the current study used clinical criteria and the results of investigations to rigorously define cases of common infectious diseases.4 We found a considerable proportion of ICD10-AM coded infections were excluded based on clinical criteria, and therefore coded data are likely to over-estimate disease incidence. The exception to this is the incidence of influenza, which is likely an under-estimation due to missed diagnosis secondary to under-utilisation of Influenza-swabs.14 Nevertheless, these common infections requiring hospitalisation represent a significant burden; based on age stratified incidence standardised to the Australian population, we estimate that there were over 36,000 admissions with CAP, over 43,000 admissions with SSTI, over 11,000 admissions with pyelonephritis, over 3,600 admissions with influenza, and over 1,500 admissions with meningitis in Australian adults each year (Table 2).
A study of the global burden of disease in 2001 estimated that lower respiratory tract infection is the 4th leading cause of death in high-income countries, and responsible for 4.4% of total deaths.15 In this study we estimated a mortality of 7.8% in hospitalised adults. This was almost double that of the other community-acquired infections in this study. Our reported incidence of CAP requiring hospitalisation is similar to that found in other population based studies, such as Marston et al. where CAP incidence was 266.8 per 100,000 overall, and 1,012.3 per 100,000 in the elderly (> 65 years).16
SSTI was the most common infectious disease requiring admission in this study, and the incidence was higher in males and in the elderly. Other studies have noted an increasing incidence since the 1960s.2 The reason for this is unclear but is likely multifactorial, including increased health professional awareness, increase in healthcare associated methicillin resistant Staphylococcus aureus, prevalence of diabetes, the growing number of people on dialysis, injecting drug use, and travel.17
There is limited epidemiological data of the burden of pyelonephritis.18 A 2005 study estimated that the annual societal cost of treatment of acute pyelonephritis was estimated to be $2.14 billion in the United States of America.19 Our findings are similar to that of Foxman et al, who described an incidence of approximately 117 per 100,000 among women and a lower incidence of 24 per 100,000 in men.20 Our results show an annual incidence of pyelonephritis of 98.3 per 100,000 person years among women compared with 59.9 per 100,000 person years among men. The incidence increases with age (Figure).
Of the infections studied here, patients admitted with influenza were at the highest risk of requiring ICU admission, with around 1 in 6 patients admitted to ICU. This is consistent with Australian national surveillance, in which 17% of patients with influenza admitted to hospital required an ICU stay in 2013.12 This reinforces the need to improve influenza vaccine coverage.21,22 While the incidence of severe influenza in adults requiring hospitalisation varies from season to season, the observed incidence in this study is broadly similar to other studies.23
Albeit less common than other community-acquired infections, meningitis is of significant public health interest. Although meningitis was associated with a high percentage of ICU admissions (12%) second only to Influenza (17%), there were no deaths in this young population with a median age of 33 years. Meningitis was uncommonly diagnosed in this study with an incidence of 8.9 per 100,000 person years, and the majority of cases were under the age of 40 years. These findings are in keeping with the declining incidence and mortality of meningitis in the setting of effective immunisation programs.24,25
In Australia, the highest rates of meningococcal disease notification are in children under 5 years of age with a second peak in the 15–24 years age group. Death secondary to meningitis in Australia is lowest in the 5–24 year age group and highest in the over 60 years age group.26
Incidence data for invasive meningococcal disease in Australia reveals that the introduction of a single dose of meningococcal C conjugate vaccine in the second year of life has resulted in near elimination of serogroup C disease in all age groups in Australia.23 Interestingly, invasive pneumococcal disease and bacterial meningitis both declined dramatically among children and adults in the United States of America when the 7-valent pneumococcal conjugate vaccine and the Haemophilus influenzae type b conjugate vaccine were introduced for infants, although a similar reduction was not seen in Australia with the introduction of the H. influenzae PRP-T conjugate vaccine among Indigenous children.25,27
There are limitations to this study. Although the city of Geelong is geographically separated from Melbourne, we cannot exclude the possibility that a small number of patients may have been treated at hospitals outside the region. Disease burden may have also been underestimated because we only analysed data on patients aged 20 years or over and excluded patients with these infections admitted directly to private hospitals bypassing the emergency department. We also excluded patients transferred to private hospitals from our length of stay estimates, which may have affected the results. Also of note, this study is not representative of the Indigenous population as the estimated Aboriginal or Torres Strait Islander population in the Geelong region is 0.8% compared with 2.5% Australia-wide.28 We acknowledge that the small number of patients with meningitis limited the statistical precision of the population incidence of this disease, although declining incidence of meningitis is consistent with other Australian data.26
Diagnostic codes were used to identify cases, and while coded data may lack accuracy, we mitigated this limitation by analysing medical records against defined clinical, radiological and laboratory criteria. In addition, although cases were reviewed carefully on an individual basis to assess the cause of hospital admission and the eventual cause of death, given the difficulty in assigning the cause of death and length of stay to any 1 infection in a complex patient presentation, the mortality and length of stay data should be interpreted with caution.
Overall, we found that these selected infectious diseases result in annual hospital admissions for an estimated 0.58% (97,561 admissions) of the total population of Australia aged 20 years or over (16,961,179).28 More importantly, 54,495, i.e. 55.9% of these admissions are in people over 60 years of age. Of note, this study investigated the incidence of selected infections requiring hospitalisation but did not look at the direct cost burden or incidence in the community. Further studies should examine both the cost-burden of hospitalisation and the incidence of these selected infections treated in the community setting. This would help assess the true burden to the health-care system and measure the effectiveness of preventive strategies.
Conclusion
Knowledge of the burden and preventability of selected infections can inform priority setting and resource deployment in health care. This study assessed admissions to hospital and therefore health care utilisation for selected community acquired infections. Our results show that SSTI, CAP, and pyelonephritis are common infections leading to hospital admissions with an incidence that increases with age. Pneumonia is responsible for significant morbidity and mortality in Australia. Assessment of the epidemiology and incidence of common syndromes is needed to guide healthcare planning.
Author details
Shweta Sharma1
Emmy Sneath1
Allen C Cheng2
N Deborah Friedman1
- Department of General Medicine, University Hospital Geelong, Barwon Health, Geelong, Victoria
- Department of Epidemiology and Preventative Medicine, Monash University; Infection Prevention and Healthcare Epidemiology Unit, Alfred Health, Melbourne, Victoria
Corresponding author: Dr Shweta Sharma, Department of General Medicine, Barwon Health, Bellerine Street, GEELONG VIC 3220. Telephone: +61 3 4215 2340. Email: Shweta.Sharma@BarwonHealth.org.au
Alternate corresponding author: Dr N Deborah Friedman, Department of General Medicine, Barwon Health, Bellerine Street, GEELONG VIC 3220. Telephone: +61 3 4215 2340. Email: Deborahf@barwonhealth.org.au
Appendices
Age group (years) | Geelong | Australia | ||||
---|---|---|---|---|---|---|
Male | Female | Total | Male | Female | Total | |
20–29 | 16,569 | 16,074 | 32,643 | 1,685,119 | 1,630,394 | 3,315,513 |
30–39 | 16,163 | 16,475 | 32,638 | 1,571,153 | 1,572,270 | 3,143,423 |
40–49 | 17,568 | 18,147 | 35,715 | 1,569,694 | 1,596,785 | 3,166,479 |
50–59 | 16,985 | 17,609 | 34,594 | 1,430,255 | 1,459,915 | 2,890,170 |
60–69 | 13,960 | 14,645 | 28,605 | 1,117,447 | 1,131,483 | 2,248,930 |
70–79 | 8,416 | 9,343 | 17,759 | 638,160 | 689,920 | 1,328,080 |
>80 | 4,912 | 7,700 | 12,612 | 341,239 | 527,345 | 868,584 |
Total | 94,573 | 99,993 | 1,945,66 | 83,530,67 | 8,608,112 | 16,961,179 |
Skin/soft tissue infection | Cellulitis – all sites
Erisipelas A26.9, A26.0, A26.7, A26.8 Gangrene, gangrenous R02 Cutaneous, spreading R02 Fournier's N49.8, female N76.8 Limb (lower) (upper) R02 Mouth A69.0 Perineum R02 Scrotum N49.2 Gas gangrene A48.0 Impetigo L40.1, H03.8, H62.4, L01.0 Wound infection with foreign body T89.01 Necrotising fasciitis – M72.4, M72.9, M72.6 Bites (animal and human) W50–W64 Abscess Ankle, foot, heel, thigh, thumb, toe (any), leg (any part), limb (lower) (upper), hand, arm (any part), axilla, wrist, web/palmar space, shoulder (region) – all L02.4 Nail L03.01, L03.02 Head L02.8 Back, groin, mons pubis, navel L02.2 Buttock L02.3 Neck (region) L02.1 Lip K13.0 Orbit, orbital H05.0 Cutaneous L02.9 Face (any part except ear, eye, nose) – L02.0 Pilonidal L05.0 |
---|---|
Community-acquired pneumonia | J12 to J18 |
Meningitis | G00 |
Influenza | J09 – J11 |
Pyelonephritis | Pyelonephritis N12
Sepsis A41.9 plus Urinary T83.5 Urinary NEC T83.5 Escherichia coli A41.51 Gram-negative (organism) A41.50 Anaerobic A41.50 Escherichia coli A41.51 Pseudomonas A41.52 Specified NEC A41.58 Pseudomonas A41.52 Infection urinary (tract) NEC N39.0 Complicating pregnancy O23.4 Newborn P39.3 Puerperal (postpartum) O86.2 Tuberculous A18.1 |
References
- Australian Institute of Health and Welfare. Australian Burden of Disease Study: Impact and Causes of Illness and Death in Australia 2011. Australian Burden of Disease Study series no. 3. BOD 4. Canberra: Australian Institute of Health and Welfare; 2016.
- Goto M, Ohl ME, Schweizer ML, Perencevich EN. Accuracy of administrative code data for the surveillance of healthcare-associated infections: a systematic review and meta-analysis. Clin infect Dis 2014;58(5):688–696.
- Andersen LK, Davis MD. The epidemiology of skin and skin-related diseases: a review of population-based studies performed by using the Rochester Epidemiology Project. Mayo Clin Proc 201388(12):1462–1467.
- Griffin MR, Zhu Y, Moore MR, Whitney CG, Grijalva CG. US hospitalizations for pneumonia after a decade of pneumococcal vaccination. N Engl J Med 2013;369(2):155–163.
- National Regional Profile: Greater Geelong City Part A (Statistical Subdivision). Available from: http://www.abs.gov.au Accessed on 22 October 2015.
- Pasco JA, Nicholson GC, Kotowicz MA. Cohort profile: Geelong osteoporosis study. Int J Epidemiol 2012;41(6):1565–1575.
- Davis TM, Bruce DG, Davis WA. Cohort profile: the Fremantle diabetes study. Int J Epidemiol 2013;42(2):412–421.
- Wilson J, Hair C, Knight R, Catto-Smith A, Bell S, Kamm M, et al. High incidence of inflammatory bowel disease in Australia: A prospective population‐based Australian incidence study. Inflamm Bowel Dis 2010;16(9):1550–1556.
- World Health Organization. International Classification of Diseases: ICD-10 online versions. Available from: http://www.who.int/classifications/icd/icdonlineversions/en/ Accessed on 26 October 2015.
- Watkins RR, Lemonovich TL. Diagnosis and management of community-acquired pneumonia in adults. Am Fam Physician 2011;83(11):1299–1306.
- Stevens DL, Bisno AL, Chambers HF, Dellinger EP, Goldstein EJ, Gorbach SL, et al. Practice guidelines for the diagnosis and management of skin and soft tissue infections: 2014 update by the Infectious Diseases Society of America. Clin Infect Dis 2014 59(2):e10–e52.
- Cheng AC, Dwyer DE, Holmes M, Irving LB, Brown SG, Waterer GW, et al. Influenza epidemiology, vaccine coverage and vaccine effectiveness in sentinel Australian hospitals in 2013: the Influenza Complications Alert Network. Commun Dis Intell 2013;38(2):E143–E149.
- Rothman KJ, Greenland S, Lash TL, eds. Modern epidemiology. Lippincott Williams & Wilkins; 2008.
- Harper SA, Bradley JS, Englund JA, File TM, Gravenstein S, Hayden FG, McGeer AJ, et al. Seasonal influenza in adults and children—diagnosis, treatment, chemoprophylaxis, and institutional outbreak management: clinical practice guidelines of the Infectious Diseases Society of America. Clin Infect Dis 2009;48(8):1003–1032.
- Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet 2006; 367(9524):1747–1757.
- Marston BJ, Plouffe JF, File TM Jr, Hackamn BA, Salstrom SJ, Lipman HB, et al. Incidence of community-acquired pneumonia requiring hospitalization: results of a population-based active surveillance study in Ohio. Arch Intern Med 1997;157(15):1709–1718.
- Dryden MS. Skin and soft tissue infection: microbiology and epidemiology. Int J Antimicrob Agents 2009;34 Suppl 1:S2–S7.
- Czaja CA, Scholes D, Hooton TM, Stamm WE. Population-based epidemiologic analysis of acute pyelonephritis. Clin Infect Dis 2007;45(3):273–280.
- Brown P, Ki M, Foxman B. Acute pyelonephritis among adults: cost of illness and considerations for the economic evaluation of therapy. Pharmacoeconomics 2005;23(11):1123–1142.
- Foxman B, Klemstine KL, Brown PD. Acute pyelonephritis in US hospitals in 1997: hospitalization and in-hospital mortality. Ann Epidemiol 2003;13(2):144–150.
- Lee KW, Murrell E. Influenza prevention and treatment strategies in the elderly. Annals of Long Term Care 2006;14(9):20.
- Bridges CB, Thompson WW, Meltzer MI, et al. Effectiveness and cost-benefit of influenza vaccination of healthy working adults: a randomized controlled trial. JAMA 2000;284(13):1655–1663.
- Reed C, Chaves SS, Kirley PD, Emerson R, Aragon D, Hancock EB, et al. Estimating influenza disease burden from population-based surveillance data in the United States. PloS One 2015;10(3):e0118369.
- Lawrence GL, Wang H, Lahra M, Booy R, McIntyre PB. Meningococcal disease epidemiology in Australia 10 years after implementation of a national conjugate meningococcal C immunization programme. Epidemiol Infect 2016144(11):1–10.
- Thigpen MC, Whitney CG, Messonnier NE, Zell ER, Lynfield R, Hadler JL, et al. Bacterial meningitis in the United States, 1998–2007. N Engl J Med 2011;364(21):2016–2025.
- Chiu C, Dey A, Wang H, Menzies R, Deeks S, Mahajan D, et al. Vaccine preventable diseases in Australia, 2005 to 2007. Commun Dis Intell 2010;34 Suppl:S1–S167.
- Menzies RI, Bremner KM, Wang H, Beard FH, McIntyre PB. Long-Term Trends in Invasive Haemophilus influenzae type b disease among Indigenous Australian children following use of PRP-OMP and PRP-T vaccines. Pediatr Infect Dis J 2015;34(6):621–626.
- Australian Bureau of Statistics. Census of Population and Housing - Counts of Aboriginal and Torres Strait Islander Australians, 2011. ABS cat. No:2075.0 [Online]. Available from: http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/2075.0main+features32011 Accessed on 8 August 2016.
CDI Search
Communicable Diseases Intelligence subscriptions
Sign-up to email updates: Subscribe Now
Communicable Diseases Surveillance