Receipt from James Mills of Bowen’s Cough Balsam, St. Catharines for 2 chamois

Receipt from James Mills of Bowen’s Cough Balsam, St. Catharines for 2 chamois, Nov.1, 1887.

Enhancing pnemonia surveillance in acute care facilities in post SARS era : a Canadian hospital surveillance study, 2003-2004 influenza season

A retrospective study of patients hospitalized with influenza and/or pneumonia in a Niagara area community hospital for the influenza season 2003-04 was designed with the main goal of enhancing pneumonia surveillance in acute care facilities and the following specific objectives: 1) identify etiologies, factors, and clinical presentation associated with pneumonia; 2) assess the ODIN score on ICU patients to predict outcomes of severe pneumonia; 3) identify the frequency of pneumonia and influenza in a hospital setting; and 4) develop a hospital pneumonia electronic surveillance tool. A total of 172 patients' charts (50% females) were reviewed and classified into two groups: those with diagnosis of pneumonia (n=132) and those without pneumonia (n=40). The latter group consisted mainly of patients with influenza (85%). Most patients were young (<10yrs) or elderly (>71yrs). Presenting body temperature <38°C, cough symptoms, respiratory and cardiac precomorbidities were common in both groups. Pneumonia was more frequent in males (p= .032) and more likely community-acquired (98%) than nosocomial (2%). No evidence of ventilator-associated pneumonia was found. Microbiology testing in 72% of cases detected 19 different pathogens. In pneumonia patients the most common organisms were Streptococcus pneumoniae (3%), Respiratory syncytial virus (4%), and Influenza A virus (2%). Conversely, Influenza A virus was identified in 73% of non-pneumonia patients. Community-acquired influenza was more common (80%) than nosocomial influenza (20%). The ODIN score was a good predictor of mortality and the new electronic surveillance tool was an effective prototype to monitor patients in acute care, especially during influenza season. The results of this study provided baseline data on respiratory illness surveillance and demonstrated that future research, including prospective studies, is warranted in acute care facilities.

Development and characterization of concentric capillary nebulizer used in inductively coupled plasma analysis /

A simple, low-cost concentric capillary nebulizer (CCN) was developed and evaluated for ICP spectrometry. The CCN could be operated at sample uptake rates of 0.050-1.00 ml min'^ and under oscillating and non-oscillating conditions. Aerosol characteristics for the CCN were studied using a laser Fraunhofter diffraction analyzer. Solvent transport efficiencies and transport rates, detection limits, and short- and long-term stabilities were evaluated for the CCN with a modified cyclonic spray chamber at different sample uptake rates. The Mg II (280.2nm)/l\/lg 1(285.2nm) ratio was used for matrix effect studies. Results were compared to those with conventional nebulizers, a cross-flow nebulizer with a Scott-type spray chamber, a GemCone nebulizer with a cyclonic spray chamber, and a Meinhard TR-30-K3 concentric nebulizer with a cyclonic spray chamber. Transport efficiencies of up to 57% were obtained for the CCN. For the elements tested, short- and long-term precisions and detection limits obtained with the CCN at 0.050-0.500 ml min'^ are similar to, or better than, those obtained on the same instrument using the conventional nebulizers (at 1.0 ml min'^). The depressive and enhancement effects of easily ionizable element Na, sulfuric acid, and dodecylamine surfactant on analyte signals with the CCN are similar to, or better than, those obtained with the conventional nebulizers. However, capillary clog was observed when the sample solution with high dissolved solids was nebulized for more than 40 min. The effects of data acquisition and data processing on detection limits were studied using inductively coupled plasma-atomic emission spectrometry. The study examined the effects of different detection limit approaches, the effects of data integration modes, the effects of regression modes, the effects of the standard concentration range and the number of standards, the effects of sample uptake rate, and the effect of Integration time. All the experiments followed the same protocols. Three detection limit approaches were examined, lUPAC method, the residual standard deviation (RSD), and the signal-to-background ratio and relative standard deviation of the background (SBR-RSDB). The study demonstrated that the different approaches, the integration modes, the regression methods, and the sample uptake rates can have an effect on detection limits. The study also showed that the different approaches give different detection limits and some methods (for example, RSD) are susceptible to the quality of calibration curves. Multicomponents spectral fitting (MSF) gave the best results among these three integration modes, peak height, peak area, and MSF. Weighted least squares method showed the ability to obtain better quality calibration curves. Although an effect of the number of standards on detection limits was not observed, multiple standards are recommended because they provide more reliable calibration curves. An increase of sample uptake rate and integration time could improve detection limits. However, an improvement with increased integration time on detection limits was not observed because the auto integration mode was used.