Multiple regression analyses with s(P)RR.

<p>Multiple regression analyses with s(P)RR.</p

Western blotting and immunoprecipitation analysis.

<p>Identification of s(P)RR in hemodialysis waste water in 3 patients (A, B, and C). IgG, immunoglobulin G.</p

Multiple regression analyses with ABI.

<p>Multiple regression analyses with ABI.</p

Characteristics of the study subjects.

<p>Characteristics of the study subjects.</p

Multiple regression analyses with s(P)RR.

<p>Multiple regression analyses with s(P)RR.</p

High-Throughput Simultaneous Analysis of Pesticides by Supercritical Fluid Chromatography Coupled with High-Resolution Mass Spectrometry

Recently, a generally applicable screening method for multiresidue pesticide analysis, which is simple, quick, and accurate and has a reliable performance, is becoming increasingly important for food safety and international trade. This paper proposes a high-throughput screening methodology that enables the detection of multiresidue pesticides using supercritical fluid chromatography coupled to a high-performance benchtop quadrupole Orbitrap mass spectrometry (SFC/Q Exactive) and an automated library-based detection. A total of 444 chemicals covering a wide polarity range (log<i>P</i>_ow from −4.2 to 7.7) and a wide molecular weight range (from 99.0 to 872.5) were analyzed simultaneously through a combination of high mass resolution (a value of <i>m</i>/Δ<i>m</i> = 70000), high mass accuracy (<5 ppm) with positive/negative polarity switching, and highly efficient separation by SFC. A total of 373 pesticides were detected in QuEChERS spinach extracts without dispersive solid phase extraction at the 10 μg kg^–1 level (provisional maximum residue limits in Japan). In conclusion, the developed analytical system is a potentially useful tool for practical multiresidue pesticide screening with high throughput (time for data acquisition, 72 samples per day; and time for data processing of 72 samples, approximately 45 min)

Sensitivity, specificity and PPVs of claims-based definition of death.

<p>Abbreviation: PPV, positive predictive value; 95% CI, 95% confidence interval.</p>*<p>Definitions are given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066116#pone-0066116-t001" target="_blank">Table 1</a>.</p

Sensitivity, specificity and PPVs for claims-based Definition 3.3^*.

<p>Abbreviation: PPV, positive predictive value; 95%CI, 95% confidence interval; SSRI, selective serotonin reuptake inhibitor; NSAID, non-steroidal anti-inflammatory drug.</p>*<p>Definition 3.3 in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066116#pone-0066116-t001" target="_blank">Table 1</a>.</p>†<p>The gold standard information.</p>‡<p>Definition yielded no false positive cases.</p>¶<p>SSRIs with or without other oral antidepressants.</p>§<p>Oral antidepressants except for SSRIs.</p

Deaths identified by the gold standard definition and Definition 1.1^*.

*<p>Definitions 1.1 given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066116#pone-0066116-t001" target="_blank">Table 1</a>.</p>†<p>‘Zombie’ claims are the claims without ‘death’ issued after the index claim with ‘death’ given as the discharge/disease status.</p>‡<p>Information on death in enrollment file provided by insurers was considered to be the gold standard information.</p>¶<p>‘Zombie’ claims issued up to 1 or 2 months after the index claim.</p>§<p>‘Zombie’ claims issued up to 3 or more months after the index claim.</p

Characteristics of beneficiaries in three health insurance unions.

<p>Characteristics of beneficiaries in three health insurance unions.</p