First author and year of publication | Population/data source | Location and time period | Number of events included (mean per day for time-series studies) | Air pollution exposure variable(s) | Potential confounders included | MI ascertainment | Lags considered (days, except where noted) |
Daily time-series studies | |||||||
Fatal and non-fatal events | |||||||
Cendon 200611 | Hospital admissions data (112 hospitals: infirmaries and ICUs); age >64 only | Sao Paulo, Brazil 1998–9 | 19272* (26.4) | PM10 (24 h average) | Season and trend, temperature (non-linear, 2-day moving average), humidity, day of week | Events with ICD-10 codes suggesting MI in the Public Health Data Analysis System Division | 0–7 inclusive |
Lanki 200612 | AMI registers and hospital discharge registers | 5 European cities (Augsburg, Barcelona, Helsinki, Rome, Stockholm) 1992–2000 (3–7 year period per city) | 26 854 (between 0.9 and 8.4 per city) | PM10, O3 (8 h average, summer only), NO2, CO, modelled particle number conc. (proxy for PM <0.1 μg/m3) | Season and trend, apparent temperature (non-linear, same day and average of lag days 1–3), barometric pressure, weekday indicator, holiday indicator | Records with ICD9 code 410 in hospital registers (two cities); or records meeting MONICA definition of MI in AMI registers (three cities)58 | 0–3 inclusive |
Koken 200313 | Hospital admissions data (11 hospitals, covering ages 65+ years) | Denver county, USA 1993–7 (July and August only) | 1576* (5.1) | PM10, O3, NO2, SO2, CO (all 24 h average) | Daily maximum temperature (lag days 0–4), dew point temperature, day of week, calendar year, population size | Primary discharge diagnosis (ICD9 = 410.XX) | 0–4 inclusive |
Mann 20025 | Records from a health maintenance organisation | Southern California, USA 1988–95 | 19 690 (6.7*) | PM10 (24 h average), O3 (8 h average), NO2, (24 h average) CO (8 h average) | Season and trend, temperature (non-linear, same day), relative humidity, calendar year, day of week, annual population size | Records with ICD9 code 410 | 0–5 days inclusive |
Ye 200114 | Hospital emergency transports records (four hospitals, ages 65+ years) | Tokyo, Japan 1980–95 (July and August only) | 3200* (3.28) | PM10, O3, CO, NO2, SO2, (all daily average) | Annual trends, daily maximum temperature (lag days 0–4), population size | As diagnosed by emergency doctor, based on presenting symptoms | 0 (adjusted for 1–4 inclusive) |
Linn 200015 | Hospital admissions data | Los Angeles, USA 1992–5 | Not reported | PM10, O3, CO, NO2 (all 24 h average) | Season and trend, day of week, holidays, mean temperature (same day), barometric pressure, indicators for hot days, cold days, rainy days | Records with an all-patient-refined diagnosis-related group code of 111, 115, or 121 | Different lags considered, exact strategy unclear |
Poloniecki 199716 | Hospital episode statistics | London, UK 1987–94 | 68 300* (26.7) | O3 (8 h average); NO2, SO2, CO, black smoke (all 24 h average) | Season and trend, temperature (lag day 1), humidity, day of week, public holidays, influenza epidemic indicator | Records with ICD9 code 410 | 1 |
Fatal events only | |||||||
Murakami 200617 | Vital statistics of Japan data (34 districts) | 34 districts, Japan 1990–4 | 14 430 (7.9*) | Suspended particulate matter (hourly measurements) | Time of day, temperature (non-linear, same day), region | Records with ICD9 code 410 | Exposure windows from 1 to 48 h |
Sharovsky 200418 | Death registry data | Sao Paulo, Brazil 1996–8 | 12 007 (16.4) | PM10, CO, SO2 (daily average) | Season and trend, mean temperature (non-linear, up to lag day 7), relative humidity, atmospheric pressure, day of week, holidays, influenza levels | Death certificates with MI (ICD10 = I21) listed as primary cause | 0, and moving average of up to previous 7 days |
Rossi 199919 | Vital statistics department mortality data | Milan, Italy 1985–9 | 1600* (0.9) | Total suspended particles | Season and trend, temperature (non-linear, lag days unclear), relative humidity, day of week, holidays, epidemics, pollution | Deaths with ICD9 codes of 410 | Different lags considered, exact strategy unclear |
Case–crossover studies | |||||||
Fatal and non-fatal events | |||||||
Barnett 200620 | Hospital admissions data from seven cities | Australia (five cities) and New Zealand (two cities) 1998–2001 | 28 818* | PM2.5 (24 h average), PM10 (24 h average), O3 (8 h average), CO (8 h average), NO2 (24 h average) | Temperature (lag days 0–1), change in temperature from previous day, humidity, hot and cold days, pressure, day of week, holiday, rainfall | Records with ICD9 code 410 or ICD10 code I21-22 | Average of 0–1 |
Zanobetti 200621 | Hospital admissions data from the US Medicare programme (ages 65+ years) | Boston metropolitan area, USA 1995–9 | 15 578 | PM2.5, PM non-traffic (modelled), O3, CO, NO2, black carbon | Apparent temperature (non-linear, lag day 1); also matched for same day temperature), day of week | Records with ICD9 code 410 | 0, 1, and mean of 0 and 1 |
Peters 200522 | Coronary event registry (cases surviving first 24 h only) | Augsburg, Germany 1999–2001 | 851 | PM2.5, total number concentration (proxy for ultrafine particles), O3, SO2, CO, NO2 (all 24 h average; 1 h average also considered for PM) | Temperature (non-linear, same day), day of week | Patients meeting MONICA definition of MI58 | 0–5 (also 0–6 h for hourly analysis) |
Ruidavets 200523 | AMI registry | Toulouse, France 1997–9 | 399 | O3 (highest 8 h average of the day), SO2 (24 h average), NO2 (24 h average) | Day of week (matched), min and max temperature (same day), humidity, influenza levels | Clinical, ECG and enzyme data available to support diagnosis | 0–3 days inclusive |
Sullivan 200524 | Community database linking emergency service and hospital outcome data | Washington State, USA 1988–94 | 5793 | Increase in short-term average PM2.5 (derived from fine PM), defined as 10 μg/m3 increase in 1, 2, 4, 24 h averaged PM2.5). Similar for SO2 and CO | Temperature (non-linear, same day), relative humidity | Discharge diagnosis of AMI confirmed by enzyme and ECG changes | 0–2 days inclusive |
Zanobetti 200525 | Hospital admissions data from the US Medicare programme (ages 65+ years) | 21 Cities, USA 1986–99 | 302 453 | PM10 (daily average) | Day of week (matched), apparent temperature (non-linear, lag days 0–1) | Medicare claims where primary diagnosis had ICD9 code 410 | 0–2 days inclusive |
Peters 200426 | KORA MI registry | Augsburg, Germany 1999–2001 | 691 | Exposure to traffic as measured by retrospective diary for the 4 days preceding event | None specified | Records meeting MONICA definition of MI58 | 0–6 days inclusive |
D’Ippoliti 200327 | Regional hospital admissions data | Rome, Italy 1995–7 | 6531 | Total suspended particles, CO, SO2, NO2 (all 24 h average) | Day of week (matched), temperature (non-linear, lag day 1), humidity, air pressure | Records with ICD9 code of 410 | 0–4, and mean of 0–2 days |
Peters 200128 | Coronary care unit admissions records | Greater Boston, USA 1995–6 | 772 | PM2.5, PM10, ozone, SO2, NO2, CO, black carbon | Season, day of week, minimum daily temperature (non-linear, same day), relative humidity | Patients had all of: ⩾1 CK above upper limit of normal, positive MB isoenzymes, symptoms | 0–5 inclusive (also 0–5 h for hourly analysis) |
*Derived from reported mean daily rate, and length of period under study.
AMI, acute myocardial infarction; ICI, intensive care unit; PM, particulate matter.