Our investigation showed that urine [IGFBP7]∙[TIMP-2] values were not elevated in patients with stable chronic morbidities who did not have AKI.

MS(E) provides a unique way to incorporate fragment ion information without the need of precursor ion selection. A primary limitation of requiring a fragment ion for positive identification was that certain drug classes required high-energy collisions, which formed many fragment ions of low abundance that were not readily detected.

Currently, the use of time of flight (TOF)-mass spectrometry (MS) in quantitative analysis of small molecules is rare. Recently, the quantitative performance of TOF mass analyzers has improved due to the advancements in TOF technology. We evaluated a Q-TOF-MS in different modes, i.e., Q-TOF-full scan (Q-TOF-FS), Q-TOF-enhanced-full scan (Q-TOF-En-FS), MS(E), Q-TOF-targeted (Q-TOF-TGT), Q-TOF-enhanced-targeted (Q-TOF-En-TGT), and compared their quantitative performance against a unit resolution LC-MS-MS (tandem quadrupole) platform. The five modes were investigated for sensitivity, linearity, signal-to-noise ratio, recovery and precision using 11-nor-9-carboxy-Δ(9)-tetrahydrocannabinol (THC-COOH) as a model compound in electrospray ionization (ESI) with negative polarity. Preliminary studies indicated that Q-TOF-FS mode was the least linear and precise; hence, it was eliminated from further investigation. Total imprecision in remaining four modes was <10%. The Q-TOF-En-FS and Q-TOF-En-TGT showed better signal intensity than their respective modes without enhancement. Overall, peak signal intensity was the highest in MS(E) mode, whereas the signal-to-noise ratio was the best in the Q-TOF-En-TGT mode. Relatively, MS(E) and Q-TOF-En-TGT modes were the best overall performers compared with the other modes. Both MS(E) and Q-TOF-En-TGT modes showed excellent precision (coefficient of variation <6%), patient correlation (r > 0.99) and linearity (range, 5-455 ng/mL) for THC-COOH analysis when compared with LC-MS-MS. We also investigated the performance of the same four modes using methamphetamine in positive ESI. Quantitative data obtained by Q-TOF-En-TGT and MS(E), using both positive and negative ESI, suggest that these modes performed better than the other modes. While unit resolution LC-MS-MS remains the optimal technique for quantification, our data showed that Q-TOF-MS can also be used to quantify small molecules in complex biological specimens.

This data in brief describes characteristics of chronic stable comorbid patients who were included in reference range studies of [IGFBP7]·[TIMP-2] “Reference Intervals of Urinary Acute Kidney Injury (AKI) Markers [IGFBP7]·[TIMP2] in Apparently Healthy Subjects and Chronic Comorbid Subjects without AKI” [1]. In order to determine the specificity of [IGFBP7]·[TIMP-2] for identifying patients at risk of developing AKI we studied a cohort with nine broad classification of disease who did not have AKI. Details regarding the population that was targeted for inclusion in the study are also described. Finally, we present data on the inclusion criteria for the healthy subjects used in this investigation to determine the reference range.

The patient's abnormal laboratory results were explained by his alcoholism and poor nutrition. Furthermore, urine color returned to normal with decreased concentration of urobilinogen, after vitamin supplementation and supportive medical care.