Mortality from pneumonia (ICD-10 J12-J18 equivalent to ICD-9 480-486). To reduce deaths from pneumonia. Legacy unique identifier: P00597

In 2022, the highest death rate from influenza and pneumonia in Canada per 100,000 population was reported among those aged 90 years and older, with around *** deaths. Individuals between 85 and 89 years followed, with a mortality rate from influenza and pneumonia of almost *** deaths per 100,000 people. This statistic displays the death rate from influenza and pneumonia per 100,000 population in Canada during 2022, by age.

In 2020, approximately ** men and ** women per 100,000 population died as a result of pneumonia in England and Wales. In every year in the provided time interval the mortality rate was higher among men, although both genders have experienced a general decline in deaths from pneumonia. Regionally, the North West had the highest mortality rate for both genders.

Pneumonia risk groups

The age groups most at risk from pneumonia is undoubtedly the older age groups. In 2021, in England and Wales, pneumonia was the cause of death for approximately *** thousand over ** year olds, of which *** thousand were women. Furthermore, around *** thousand individuals aged between 80 and 89 years lost their lives due to pneumonia in 2021.

Prevalence of other lung diseases

In England and Wales in 2019, the mortality rate from bronchitis for men was around ** per 100,000 population, while the rate for women was approximately **. The mortality rate for bronchitis was higher than pneumonia, this is caused in part by the large decline in the mortality rate of pneumonia since the year 2000.

Legacy unique identifier: P00597

This statistic shows the deaths with pneumonia as an underlying cause in England and Wales in 2023, by age and gender. In this year, pneumonia was the underlying cause of over *** thousand deaths for women aged 90 years and older.

Deaths from pneumonia. Directly age-Standardised Rates (DSR) per 100,000 population Source: Office for National Statistics (ONS) Publisher: Information Centre (IC) - Clinical and Health Outcomes Knowledge Base Geographies: Local Authority District (LAD), Government Office Region (GOR), National, Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 2005-07, 2007 Type of data: Administrative data

Pneumonia death rates by county, all races (includes Hispanic/Latino), all sexes, all ages, 2019-2023. Death data were provided by the National Vital Statistics System. Death rates (deaths per 100,000 population per year) are age-adjusted to the 2000 US standard population (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by the National Cancer Institute. The US Population Data File is used for mortality data. The Average Annual Percent Change is based onthe APCs calculated by the Joinpoint Regression Program (Version 4.9.0.0). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties. Counties with a (3) after their name may have their joinpoint regresssion model calculated using a different time period due to data availability issues.

Years of life lost due to mortality from pneumonia (ICD-10 J12-J18). Years of life lost (YLL) is a measure of premature mortality. Its primary purpose is to compare the relative importance of different causes of premature death within a particular population and it can therefore be used by health planners to define priorities for the prevention of such deaths. It can also be used to compare the premature mortality experience of different populations for a particular cause of death. The concept of years of life lost is to estimate the length of time a person would have lived had they not died prematurely. By inherently including the age at which the death occurs, rather than just the fact of its occurrence, the calculation is an attempt to better quantify the burden, or impact, on society from the specified cause of mortality. Legacy unique identifier: P00519

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

Death rate of a population adjusted to a standard age distribution. As most causes of death vary significantly with people's age and sex, the use of standardised death rates improves comparability over time and between countries, as they aim at measuring death rates independently of different age structures of populations. The standardised death rates used here are calculated on the basis of a standard European population (defined by the World Health Organization). Detailed data for 65 causes of death are available in the database (under the heading 'Data').

This statistic shows the number of deaths from pneumonia in Taiwan in 2023, by age group. That year, ** infants younger than *** year died from pneumonia in Taiwan, whereas ***** children between *** and 14 years old were victims of pneumonia. The largest share of patients who died from the disease were senior citizens aged 65 and above.

Statistical information on confirmed cases and deaths of severe special infectious pneumonia starting in 2020, with secondary statistical tables stratified by region, age group, and gender. This data set is updated once a day according to the system's fixed schedule. At present, there are more cases of severe special infectious pneumonia imported from overseas than those confirmed by tests at airports or centralized quarantine stations and immediately isolated and treated, so their county and city information is not marked.

Objective: On 11 March 2011, the Great East Japan Earthquake struck off Japan. Although some studies showed that the earthquake increased the risk of pneumonia death, no study reported whether and how much tsunami increased the risk. We examined the risk for pneumonia death after the earthquake/tsunami. Design: This is an ecological study. Setting: Data on population and pneumonia deaths obtained from the Vital Statistics 2010 and 2012, National Census 2010 and Basic Resident Register 2010 and 2012 in Japan. Participants: About 5.7 million subjects residing in Miyagi, Iwate and Fukushima Prefectures during 1 year after the disaster were targeted. All municipalities (n=131) were categorized into inland (n=93), that is, the earthquake-impacted area, and coastal types (n=38), that is, the earthquake- and tsunami-impacted area. Outcome measures: The number of pneumonia deaths per week was totaled from 12 March 2010 to 9 March 2012. The number of observed pneumonia deaths (O) and the sum of the sex- and age-classes in the observed population multiplied by the sex- and age-classes of expected pneumonia mortality (E) were calculated. Expected pneumonia mortality was the pneumonia mortality during the year before. Standardized mortality ratios (SMRs) were calculated for pneumonia deaths (O/E), adjusting for sex and age using the indirect method. SMRs were then calculated by coastal and inland municipalities. Results: Six thousand six hundred three subjects died of pneumonia during 1 year after the earthquake. SMRs significantly increased during the 1st to 12th week. In the 2nd week, SMRs in coastal and inland municipalities were 2.49 (95% CI 2.02 to 7.64) and 1.48 (95% CI 1.24 to 2.61), respectively. SMRs of coastal municipalities were higher than those of inland municipalities. Conclusions: Earthquake increased the risk of pneumonia death and tsunamis additionally increased the risk.

Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.

Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.

**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.

***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.

Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.

Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.

Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx

Virtually all living organisms, including microbes and humans, depend on iron to survive and grow. During an infection, the plasma level of iron and several iron-related proteins change substantially. We hypothesized that iron and iron-related proteins could predict short- and long-term outcomes in community-acquired pneumonia. Blood samples from a prospective cohort of 267 in-patients with community-acquired pneumonia were analysed for hepcidin, ferritin, iron, transferrin, transferrin saturation, and soluble transferrin receptor at admission and 6-weeks post-discharge. Adverse short-term outcome was defined as admission to intensive care unit or death within 30 days, and long-term outcome was assessed as 5-year overall mortality. Logistic regression, Kaplan Meier survival curves, and Cox regression models with cut-offs at median for the potential biomarkers were used for statistical evaluation. Low admission levels of hepcidin predicted 5-year overall mortality, independently of age, sex, comorbid conditions, and anaemia. Low levels of ferritin at admission as well as low levels of iron and transferrin saturation and high levels of soluble transferrin receptor at the 6-week follow-up were predictors of 5-year overall mortality in univariable, but not in multivariable analyses. Neither of these potential biomarkers predicted adverse short-term outcomes. In hospitalized patients with community-acquired pneumonia, low levels of hepcidin at admission predicted 5-year overall mortality, but not short-term adverse outcome.

OBJECTIVE: To determine the incidence rate and mortality of community-acquired pneumonia (CAP) in adults in three cities in Latin America during a three-year period. DESIGN: Prospective population based study. SETTING: Healthcare facilities (outpatient centers and hospitals) in the cities of General Roca (Argentina), Rivera (Uruguay) and Concepcion (Paraguay). PARTICIPANTS: 2302 adults aged 18 years and older with CAP were prospectively enrolled between January 2012 and March 2015. MAIN OUTCOME MEASURES: Incidence rate of CAP in adults, predisposing conditions for disease, mortality at 14 days and at one year were estimated. Incidence rate of CAP, within each age group, was calculated by dividing the number of cases by the person-years of disease-free exposure time based on the last census; incidence rates were expressed per 1000 person-years. RESULTS: Median age of participants was 66 years, 46.44 % were men, 68% were hospitalized. Annual incidence rate was 7.03 (CI95% 6.64-7.44) per 1000 person-years in General Roca, 6.33 (CI95% 5.92-6.78) per 1000 person-years in Rivera and 1.76 (CI95% 1.55-2.00) per 1000 person-years in Concepcion. Incidence rates were highest in participants aged over 65 years. 82.4% had at least one predisposing condition and 48% had 2 or more (multi-morbidity). Chronic heart disease (43.6%) and smoking (37.3%) were the most common risk factors. 14-day mortality rate was 12.1% and one-year mortality was 24.9%. Multi-morbidity was associated with an increased risk of death at 14 days (OR 2.91; 2.23 to 3.80) and at 1 year (OR 3.00; 2.44 to 3.70). CONCLUSIONS: We found a high incidence rate of CAP in adults, ranging from 1.76 to 7.03 per 1000 person-years, in three cities in South America, disclosing the high burden of disease in the region. Efforts to improve prevention strategies are needed.

BackgroundContributors to long-term mortality in patients with community-acquired pneumonia (CAP) remain unclear, with little attention paid to pneumonia etiology. We examined long-term survival, causes of death, and risk factors for long-term mortality in adult patients who had been hospitalized for CAP, with emphasis on demographic, clinical, laboratory, and microbiological characteristics.MethodsTwo hundred and sixty-seven consecutive patients admitted in 2008–2011 to a general hospital with CAP were prospectively recruited and followed up. Patients who died during hospital stay were excluded. Demographic, clinical, and laboratory data were collected within 48 hours of admission. Extensive microbiological work-up was performed to establish the etiology of CAP in 63% of patients. Mortality data were obtained from the Norwegian Cause of Death Registry. Cox regression models were used to identify independent risk factors for all-cause mortality.ResultsOf 259 hospital survivors of CAP (median age 66 years), 79 (30.5%) died over a median of 1,804 days (range 1–2,520 days). Cumulative 5-year survival rate was 72.9% (95% CI 67.4–78.4%). Standardized mortality ratio was 2.90 for men and 2.05 for women. The main causes of death were chronic obstructive pulmonary disease (COPD), vascular diseases, and malignancy. Independent risk factors for death were the following (hazard ratio, 95% CI): age (1.83 per decade, 1.47–2.28), cardiovascular disease (2.63, 1.61–4.32), COPD (2.09, 1.27–3.45), immunocompromization (1.98, 1.17–3.37), and low serum albumin level at admission (0.75 per 5g/L higher, 0.58–0.96), whereas active smoking was protective (0.32, 0.14–0.74); active smokers were younger than non-smokers (P < 0.001). Microbial etiology did not predict mortality.ConclusionsResults largely confirm substantial comorbidity-related 5-year mortality after hospitalization for CAP and the impact of several well-known risk factors for death, and extend previous findings on the prognostic value of serum albumin level at hospital admission. Pneumonia etiology had no prognostic value, but this remains to be substantiated by further studies using extensive diagnostic microbiological methods in the identification of causative agents of CAP.

TABLE III. Deaths in 122 U.S. cities – 2016. 122 Cities Mortality Reporting System — Each week, the vital statistics offices of 122 cities across the United States report the total number of death certificates processed and the number of those for which pneumonia or influenza was listed as the underlying or contributing cause of death by age group (Under 28 days, 28 days –1 year, 1-14 years, 15-24 years, 25-44 years, 45-64 years, 65-74 years, 75-84 years, and ≥ 85 years).

FOOTNOTE: U: Unavailable. —: No reported cases. * Mortality data in this table are voluntarily reported from 122 cities in the United States, most of which have populations of 100,000 or more. A death is reported by the place of its occurrence and by the week that the death certificate was filed. Fetal deaths are not included.

† Pneumonia and influenza.

§ Total includes unknown ages.

Years of Life Lost (YLL) as a result of death from pneumonia. Directly age-Standardised Rates (DSR) per 100,000 population Source: Office for National Statistics (ONS) Publisher: Information Centre (IC) - Clinical and Health Outcomes Knowledge Base Geographies: Local Authority District (LAD), Government Office Region (GOR), National, Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 2005-07, 2007 Type of data: Administrative data