A multi-year study of air pollution and respiratory hospital admissions in three New York State metropolitan areas: results for 1988 and 1989 summers.

As part of a multi-year study of air pollution and respiratory hospital admissions in the Buffalo, Albany, and New York City, New York, metropolitan areas, filter samples were collected daily at suburban air monitoring sites and analyzed for their content of particulate phase aerosol strong acidity (i.e., hydrogen ion, H+) and sulfate (SO4 = ). In addition, daily hospital admissions for respiratory causes, other community air pollutant measurements (e.g., ozone, O3), and meteorological data (e.g., temperature) were also obtained for these metropolitan areas. The summer months (June-August) were selected for analysis because that is when the highest H+ (and O3) are usually experienced at these sites, and because these months are rarely complicated by other major influences (e.g., high pollen counts). Thus, any pollution-admissions relationships were expected to be most clearly discernible in this season. Prior to the health effects analysis, the summer admissions and environmental data were first detrended to eliminate long-wave autocorrelations, and day-of-week effects were removed via regression. Cross-correlations of the filtered 1988 and 1989 admissions and environmental data revealed strong associations between elevated summer haze pollution (i.e., H+, SO4 =, and O3) and increased total respiratory and asthma admissions on the same day and/or on subsequent days in Buffalo and New York City, especially during the summer of 1988 (when pollution levels were more extreme). Regression analyses indicated that the pollution-admissions associations remained significant (p < 0.05) even after the simultaneous inclusion of lagged daily maximum temperature. Mean effects calculations for these cities indicated that summertime haze can play a significant role in the occurrence of respiratory admissions in that season: accounting for an average 6 to 24% of 1988 Buffalo and NYC asthma admissions (depending on the pollutant index employed). O3 consistently had the highest mean effects estimates. Relative risk (RR) calculations indicated that the risk of admission for asthma was increased by a factor of 1.19 to 1.43 in these cities on maximum 1988 summertime pollution days, with H+ consistently having the highest RR estimates. These results are consistent with the hypothesis that ambient acid aerosol peaks (e.g., H+ > or = 100 nmol/m3) can potentiate the respiratory disease effects of O3. Associations were weaker in the less urbanized Albany metropolitan area and in the New York City (NYC) suburbs, even though the NYC suburban O3 exposures were similar to (and the H+ concentrations may even be somewhat higher than) those in the center city.(ABSTRACT TRUNCATED AT 400 WORDS)     

Distributed lag analyses of daily hospital admissions and source-apportioned fine particle air pollution

Background

Past time-series studies of the health effects of fine particulate matter [aerodynamic diameter ≤ 2.5 μm (PM_2.5)] have used chemically nonspecific PM_2.5 mass. However, PM_2.5 is known to vary in chemical composition with source, and health impacts may vary accordingly.

Objective

We tested the association between source-specific daily PM_2.5 mass and hospital admissions in a time-series investigation that considered both single-lag and distributed-lag models.

Methods

Daily PM_2.5 speciation measurements collected in midtown Manhattan were analyzed via positive matrix factorization source apportionment. Daily and distributed-lag generalized linear models of Medicare respiratory and cardiovascular hospital admissions during 2001–2002 considered PM_2.5 mass and PM_2.5 from five sources: transported sulfate, residual oil, traffic, steel metal works, and soil.

Results

Source-related PM_2.5 (specifically steel and traffic) was significantly associated with hospital admissions but not with total PM_2.5 mass. Steel metal works–related PM_2.5 was associated with respiratory admissions for multiple-lag days, especially during the cleanup efforts at the World Trade Center. Traffic-related PM_2.5 was consistently associated with same-day cardiovascular admissions across disease-specific subcategories. PM_2.5 constituents associated with each source (e.g., elemental carbon with traffic) were likewise associated with admissions in a consistent manner. Mean effects of distributed-lag models were significantly greater than were maximum single-day effect models for both steel- and traffic-related PM_2.5.

Conclusions

Past analyses that have considered only PM_2.5 mass or only maximum single-day lag effects have likely underestimated PM_2.5 health effects by not considering source-specific and distributed-lag effects. Differing lag structures and disease specificity observed for steel-related versus traffic-related PM_2.5 raise the possibility of distinct mechanistic pathways of health effects for particles of differing chemical composition.     

Correlation between gingival crevicular fluid dipeptidyl peptidase II and IV activity and periodontal attachment loss. A 2–year longitudinal study in chronic periodontitis patients

OBJECTIVE: The aim of this study is to determine whether gingival crevicular fluid (GCF) dipeptidyl peptidase (DPP) II or IV levels, total activity (TA) and concentration (EC), predict progressive attachment loss (AL). SUBJECTS AND METHODS: Seventy five patients with moderate periodontitis were recruited. GCF was first collected from 16 molar and premolar mesiobuccal sites and then probing attachment level (PAL) and probing pocket depth (PPD) were measured with an electronic probe. Finally, gingival index, gingival bleeding and plaque indices were scored. Patients were given basic periodontal treatment prior to baseline after which the above procedures were repeated. Patients were seen 3 monthly for 2 years and the procedures were repeated. Carefully localised radiographs were taken of the test teeth annually. RESULTS: One hundred and twenty AL sites, 88 rapid AL (RAL) and 32 gradual AL (GrAL), in 48 patients were detected. DPP It and IV levels (TA and EC) at RAL sites were significantly higher (P ≤ 0.0001) than paired control sites at the attachment loss time (ALT) and prediction time (PT). Mean levels over the study period of both proteases (TA and EC) at GrAL sites were significantly higher (P≤ 0.0001) than paired control sites. The GCF levels of DPP IV were always slightly higher than those of DPP II. Critical values (CV) of 5 μU per 30 s (TA) and 25 μU μPI^-1 (EC) for both proteases showed high sensitivity and specificity values for TA and EC and these were the same at both ALT and PT. The positive predictive values were slightly higher for DPP II. Mean site DPP II and IV levels (TA and EC) in intra-patient comparisons were significantly higher (P ≤ 0.0001) at RAL and GrAL sites than non-attachment loss (NAL) sites in AL patients and mean patient levels were significantly higher (P ≤ 0.0001) in AL patients than NAL patients in inter-patient comparisons. CONCLUSIONS: These results indicate that both GCF DPP II and IV may be predictors of periodontal attachment loss.     

Automated diagnosis of fetal alcohol syndrome using 3D facial image analysis

OBJECTIVES: Use three-dimensional (3D) facial laser scanned images from children with fetal alcohol syndrome (FAS) and controls to develop an automated diagnosis technique that can reliably and accurately identify individuals prenatally exposed to alcohol. METHODS: A detailed dysmorphology evaluation, history of prenatal alcohol exposure, and 3D facial laser scans were obtained from 149 individuals (86 FAS; 63 Control) recruited from two study sites (Cape Town, South Africa and Helsinki, Finland). Computer graphics, machine learning, and pattern recognition techniques were used to automatically identify a set of facial features that best discriminated individuals with FAS from controls in each sample. RESULTS: An automated feature detection and analysis technique was developed and applied to the two study populations. A unique set of facial regions and features were identified for each population that accurately discriminated FAS and control faces without any human intervention. CONCLUSION: Our results demonstrate that computer algorithms can be used to automatically detect facial features that can discriminate FAS and control faces.     

Pharmacological modulation of human subconjunctival fibroblast behavior in vitro

The response of human subconjunctival fibroblasts to a variety of pharmacological agents was evaluated utilizing a novel in vitro wound assay and a separate proliferation assay. Both colchicine and cytochalasin B dramatically arrested wound closure at concentrations greater than or equal to 0.01 micrograms/ml and 2 micrograms/ml, respectively (p less than 0.05). At lower doses these drugs altered fibroblast morphology and inhibited directed cell migration. Dexamethasone and 6-MP delayed wound closure at concentrations greater than or equal to 100 micrograms/ml and 1000 micrograms/ml, respectively (p less than 0.05). Effective antiproliferative agents, in order of decreasing potency (based on unit weight), were Cytarabine (cytosine arabinoside), doxorubicin (Adriamycin), colchicine, 5-fluorouracil, cytochalasin B, cyclosporin (Sandimmune), 6-mercaptopurine, and dexamethasone. The antiprotease agents and methotrexate were ineffective as determined by both assays. We conclude that the wound assay is well suited for rapid screening of drugs for their effect on fibroblast morphology, motility, and proliferation, and that colchicine and cytochalasin B, in doses well below those documented to produce ocular toxicity, are effective in inhibiting directed migration and proliferation of subconjunctival fibroblasts in vitro. Differences in mechanism, onset of action, therapeutic range, and cytotoxicity of drugs could be exploited in controlling ocular fibroblast behavior in vivo.