https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10363 Wed 11 Apr 2018 14:02:49 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13397 Wed 11 Apr 2018 09:30:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34977 Tue 28 May 2019 13:23:49 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13883 Tue 24 Aug 2021 14:24:37 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35009 A receptor subunits were measured by RT-PCR. Results: MBP immunostaining was increased in lobule IX of preterm males, and reduced in lobule X of preterm females when compared to their term counterparts. GAD67 staining was decreased in lobule IX and X of the preterm males, but only in lobule X of the preterm females compared to term cohorts for each sex. Internal granule cell layer width of lobule X was decreased in preterm cohorts of both sexes compared to terms. There were no differences between gestational age groups for NeuN staining, GAD67 and GAT1 protein expression as measured by western blotting, or GABA_A receptor subunits as measured by RT-PCR between preterm and term for either sex. Conclusions: The present findings suggest that components of the cerebellar GABAergic system of the ex-preterm cerebellum are disrupted. The higher expression of myelin in the preterm males may be due to a deficit in axonal pruning, whereas females have a deficit in myelination at 28 corrected days of age. Together these ongoing alterations may contribute to the neurodevelopmental and behavioural disorders observed in those born preterm.]]> Thu 30 May 2019 14:58:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45325 Thu 27 Oct 2022 08:23:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52758 Thu 26 Oct 2023 12:05:26 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34951 Thu 09 Dec 2021 11:04:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41245 Sat 30 Jul 2022 12:33:27 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13373 Sat 24 Mar 2018 10:37:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:13376 Sat 24 Mar 2018 10:37:29 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7384 Sat 24 Mar 2018 08:40:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:16540 Sat 24 Mar 2018 08:01:16 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30838 Sat 24 Mar 2018 07:33:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28439 75th percentile (≥43 µg/l) (OR 1.49, 95 % CI 1.06, 2.10) and >90th percentile (≥68 µg/l) (OR 1.92, 95 % CI 1.25, 2.96). Increased odds of early and moderate-to-late sPTB were associated with ferritin levels >90th percentile (OR 2.50, 95 % CI 1.32, 4.73) and >75th percentile (OR 1.56, 95 % CI 1.03, 2.37), respectively. No association was found between the risk of sPTB and elevated sTfR levels or Fe deficiency. In conclusion, elevated maternal serum ferritin levels in early pregnancy are associated with an increased risk of sPTB from 34 weeks of gestation. The usefulness of early pregnancy ferritin levels in identifying women at risk of sPTB warrants further investigation.]]> Sat 24 Mar 2018 07:29:04 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22253 Sat 24 Mar 2018 07:17:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38469 Mon 29 Jan 2024 18:04:13 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34950 Mon 27 May 2019 12:39:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32146 Mon 23 Sep 2019 11:12:28 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34164 Mon 18 Feb 2019 10:07:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50108 Mon 17 Jul 2023 11:54:03 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50975 Mon 14 Aug 2023 15:25:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50824 Mon 07 Aug 2023 14:29:51 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32098 Fri 03 Dec 2021 10:35:09 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30481 37 completed wk) admitted to the neonatal unit with minor neonatal conditions were recruited into the control group. Complete data sets were available in 91 premature neonates and during the same period, 56 term neonates were recruited as the control. The median birth weight (preterm babies) was 930 g (780-1220 g), and the mean gestational age was 27.0 wk (2.1 wk). Total renal volume (TRV) increased from 14.6 (4.3) cm 3 to 20.5 (5.3) cm 3 from 32 to 37 wk PMA. During the same period, the total renal parenchyma (TRP) thickness increased from 1.6 (0.3) cm to 1.8 (0.3) cm. At 37 wk PMA, ex-premature neonates have a significantly smaller total renal volume (20.5 [5.3] versus 25.9 [6.4] cm 3 ; p < 0.001) and total renal parenchyma thickness (1.8 [0.3] versus 2.0 [0.2] cm; p = 0.015) compared with term (control) neonates. However, premature neonates at 37 wk PMA have a larger TRP:TRV ratio compared with term neonates (0.09 [0.02] versus 0.0 8 [0.02] cm -2 ; p < 0.001). Reduced nephron endowment as a result of prematurity may cause the remaining nephrons to undergo compensatory glomerulomegaly and we postulate this is the reason for the observed differences. Ultrasound imaging of the renal parenchyma shows promise in assessing the effects of prematurity on the developing kidney.]]> Fri 01 Apr 2022 09:21:26 AEDT ]]>