Academic literature on the topic '536.2.083, 662.711'

Aim This study aimed to investigate the relationship between sarcopenia and change in bone mineral density (BMD) and functional outcome in hip arthroplasty patients. Methods: Among the 221 patients who had undergone hip arthroplasty, 147 patients were enrolled. All patients were divided into 2 groups according to presence of sarcopenia. Bone mineral density (BMD) at hospitalization and 1-year after surgery and Barthel index was measured at the time of before injury, hospitalization, 3 months and 1-year after surgery. Results: BMD at hospitalization showed .627 ± .082 (g/cm2) in Sarcopenia and .726 ± .059 (g/cm2) in Non-sarcopenia at femur (total) site ( P < .001), .531 ± .085 (g/cm2) vs .629 ± .057 (g/cm2) at femur neck site (P=.002), .715 ± .084 (g/cm2) vs .807 ± .058 (g/cm2) at lumbar (L1-L4) site ( P < .001). BMD at 1-year follow-up period, Sarcopenia showed .626 ± .082 (g/cm2) and Non-sarcopenia showed .725 ± .060 (g/cm2) at femur (total) site ( P < .001), .530 ± .085 (g/cm2) vs .629 ± .058 (g/cm2) at femur neck site ( P < .001), .715 ± .084 (g/cm2) vs .806 ± .058 (g/cm2) at lumbar (L1-L4) site ( P < .001). Change of BMD showed −.01 ± .25% for Sarcopenia and −.15 ± .47% for Non-sarcopenia in femur (total) site (P=.089), −.08 ± .63% vs −.01 ± 1.01% in femur neck site ( P = .058), .00 ± .09% vs −.12 ± .33% for each group in lumbar (L1-L4) site ( P = .052). Barthel index score showed 79.94 ± 5.66 for Sarcopenia and 84.74 ± 5.36 for Non-sarcopenia at pre-injury status ( P < .001), 33.89 ± 4.94 vs 33.87 ± 5.36 at the time of hospitalization ( P = .977), 57.42 ± 7.19 vs 60.06 ± 5.39 at 3 months follow up ( P = .015), 73.86 ± 5.94 vs 80.71 ± 4.81 for each group at 1-year follow up ( P < .001). Conclusions: Our study found that the sarcopenia showed lower BMD than the non-sarcopenia, but there was no significant difference of BMD change in the follow-up period. In addition, the sarcopenia showed poor functional results at all points except at the time of hospitalization.

Zusammenfassung Ziel: Kostenanalyse und Evaluation der Vergütung durch GKV und PKV der 10 häufigsten angiografischen Verfahren an einem Universitätsklinikum. Material und Methoden: Retrospektive Auswertung aller angiografischen Eingriffe des Jahres 2010 und Evaluation der 10 am häufigsten durchgeführten (Port-, Dialysekatheter, PTA von Ober- (OS) und Unterschenkel (US), TACE, Stents (Becken, viszeral, supraaortal), SIRT, zerebrale Coilembolisation). Berechnung der DRG-Anteile und Analyse, ob die Interventionen die DRGs modifizierten und Mehreinnahmen erzeugten. Kalkulation der Vergütung gemäß GOÄ für stationäre und ambulante Patienten. Berechnung von Material-, Personal- und Sachkosten für die Interventionen. Ergebnisse: Folgende Werte (in €) wurden errechnet [Gesamt-, Material-, Personalkosten, DRG-Anteil, GOÄ (stat., amb.)]: Portkatheter: 375, 266, 59, 328, 260, 612; Dialysekatheter 456, 349, 59, 272, 343, 807; PTA OS: 595, 445, 99, 1 240, 425, 1 077; PTA US: 732, 552, 129, 1 082, 425, 1 184; Stent Becken: 1 523, 1 338, 135, 1 323, 815, n/a; Stent viszeral: 2 124, 1 875, 199, 1 326, 912, n/a; Stent supraaortal: 1 901, 1 713, 138, 6 705, 1 138, n/a; TACE: 1 359, 1 120, 188, 2 588, 598, n/a; SIRT: 1 251, 1 054, 147, 2 289, 1 107, n/a; Coiling zerebral: 6 684, 6 367, 266, 6 531, n/a, n/a. Es konnte keine Abhängigkeit der DRGs von den durchgeführten Interventionen nachgewiesen werden. Schlussfolgerung: Die Auswertungen ergaben bei Analyse der DRG-Anteile ein Mischbild aus Verlusten (Port- und Dialysekatheter, Stent Becken und viszeral) und rechnerischen Mehreinnahmen (PTA OS/US, Stent supraaortal, TACE, SIRT). Das Coiling erscheint wirtschaftlich neutral. Eine reine Abrechnung nach GOÄ führt lediglich im ambulanten Sektor zu Gewinnen. Einschränkend muss jeder radiologische Eingriff natürlich ebenfalls als Teil der gesamten DRG gesehen werden.

High temperatures can be harmful to the competence of cumulus–oocyte complexes and to embryo development (Al-Katanani et al. 2002 J. Dairy Sci. 85, 390–396). The aim of this study was to evaluate the effect of maternal heat stress on in vitro embryo yield. Ten multiparous nonlactating Gir (Bos indicus) cows were kept in tie stalls for an adaptive period of 28 days [pre-heat-stress period (PRE-HS)/Days -28 to -1]. Cows were subjected to 2 OPU (ovum pickup) sessions (Days -14 and -7). In the heat-stress period (HS; Days 0 to 28), cows were divided into control (C: n = 5) and heat-stressed (HS: n = 5) groups. During this period, OPU sessions were performed once a week from Days 0 to 28. The C group remained in a thermo-neutral environment, and the HS group was kept in a climatic chamber with controlled temperature and humidity (38�C and 80% during the day and 30�C and 80% during the night). In the post-heat-stress period (POST-HS; Days 28 to 147), all cows returned to thermo-neutral conditions. Then 17 OPU sessions were performed once a week from Days 35 to 147. In all periods, blood samples were collected weekly for progesterone (P4) analysis, and ovarian follicles were counted, measured, and aspirated. The COCs were evaluated and selected for the IVF procedure. Data were analyzed by ANOVA (PROC MIXED of SAS) and a chi-squared test. The luteal phase was defined as the period between 2 samples with P4 below 1.0 ng mL-1. A handling accident caused the exclusion of an HS cow after the sixth session. The C and HS groups were subjected to 125 and 107 OPU sessions, respectively. Means � SEM for the C vs. HS groups, in the PRE-HS, HS, and POST-HS periods, respectively, were visualized follicles: 25.5 � 2.5 vs. 28.5 � 2.8, 24.2 � 1.1 vs. 24.0 � 1.9, and 15.3 � 0.6 vs. 15.8 � 0.8; largest follicle diameter: 12.1 � 1.5 vs. 11.1 � 1.7, 13.3 � 0.8 vs. 13.0 � 0.6, and 11.4 � 0.4b vs. 14.0 � 0.4a; P &lt; 0.05; 2nd largest follicle diameter: 6.2 � 1.3 vs. 6.0 � 1.2, 5.9 � 0.6 vs. 7.1 � 0.8, and 6.3 � 0.3b vs. 8.7 � 0.5a; recovered COCs: 11.2 � 2.8 vs. 14.3 � 2.5, 9.6 � 1.0 vs. 11.0 � 1.3, and 8.6 � 0.7 vs. 7.9 � 0.6; COCs selected for IVF: 69/112 (61.6%)b vs. 108/143 (75.5%)a, 164/241 (68%) vs. 172/265 (64.9%), and 426/712 (59.8%) vs. 305/535 (75.0%); cleavage: 44/59 (74.5%) vs. 87/105 (82.9%), 72/101 (71.3%) vs. 74/121 (61.2%), and 226/317 (71.3%) vs. 159/230 (69.1%); embryos per cow/OPU: 2.1 � 1.1y vs. 4.1 � 1.0x, 0.4 � 0.3 vs. 0.5 � 0.3, and 0.9 � 0.2x vs. 0.4 � 0.1y; P &lt; 0.1; and blastocyst yield: 16/59 (27.1%) vs. 33/105 (31.5%), 11/31 (35.5%) vs. 13/52 (25.0%), and 76/279 (27.2%)a vs. 25/188 (13.3%)b. In conclusion, maternal heat stress increased the percentage of short estrous cycles, decreased the P4 concentrations, and decreased the number of embryos produced by Bos indicus cows, mainly from 28 to 147 days post-heat-stress, showing long-term deleterious effects on blastocyst development.

Bovine in vitro production is highly relevant for dairy systems in Brazil, and the main breeds used as oocyte donors are Gyr (G) and Holstein (H). This study aimed to evaluate the ovarian follicular dynamics of G and H oocyte donors kept under tropical conditions to detect differences that could guide improvement of follicular wave synchronization protocols for ovum pickup. Fourteen cyclic cows (6 H and 8 G), assessed twice each (after a 14-day interval), had their oestrus cycle synchronized by the use of 1.0 g of progesterone via intravaginal device (Ourofino, Brazil) and administration of 2 mg of oestradiol benzoate (EB; Day 0). Withdrawal of progesterone device was followed by 7.6 mg of cloprostenol administration (Day 7); EB (1 mg) was administered after 24 h (Day 8, 0 h), and the animals were evaluated every 12 h by ultrasound for 6 days (0–132 h). All evaluations are reported regarding EB administration (0 h). Videos from each ovary were stored and processed using the ImageJ software (http://rsb.info.nih.gov/ij), by measuring the diameter of each visualised follicle. All procedures were approved by local ethics committee. Ovulation time (G = 42.0 ± 8.3; H = 42.5 ± 6.2), ovulatory follicle (F1) diameter (G = 11.5 ± 1.8; H = 12.4 ± 2.0), and F2 diameter (G = 7.2 ± 1.9; H = 7.4 ± 2.7) did not differ (P > 0.05) between breeds. Growth rate (mm day–1) after ovulation was similar (P > 0.05) between breeds for each follicle (F1 = G: 0.6 ± 0.2, H: 0.8 ± 0.1; F2 = G: 0.5 ± 0.1 H: 0.4 ± 0.1, F3 = G: 0.2 ± 0.1, H: 0.3 ± 0.1). In H group, the F1 growth rate was higher (P < 0.05) than F2 and F3, but there was no difference (P > 0.05) in G group. Follicle deviation was identified 120 h after EB in the G group (~78 h after ovulation) and 132 h in the H group (~90 h after ovulation), and at that time F1, F2, and F3 follicle diameters were 8.0 ± 0.3, 6.6 ± 0.5, and 5.3 ± 0.3 for G (120 h), respectively; 8.8 ± 0.7, 7.2 ± 0.4, and 6.2 ± 0.3 for H (132 h), respectively. There was no difference between the size of F1, F2, and F3 between breeds at any time, except at 132 h, when H F3 was higher (P < 0.05) than G F3. Regarding the follicular population, follicles smaller than 3 mm were more numerous in G animals at all evaluated moments, and differed at 0 (G = 7.1 ± 1.1; H = 2.5 ± 0.5) and 132 h (G = 5.6 ± 0.8; H = 1.5 ± 0.3). Number of follicles between 3 and 8 mm increased in H compared to G at 24 (14.4 ± 1.0), 36 (15.7 ± 1.3), and 132 h (18.3 ± 1.4). Comparing 3- and 8-mm follicles in G between times, an increase (P < 0.05) in number was detected from 36 h onwards, comparedto 0 h (0 h: 9.2 ± 1.0; 36 h: 13.6 ± 1.4). This increase was not significant in H group (0 h: 13.7 ± 1.1; 132 h: 18.3 ± 1.4). The main findings of this study are that the moment of deviation and the population of follicles smaller than 3 mm and between 3 and 8 mm differs from Gyr and Holstein oocyte donors. Those observations suggest ovum pickup is better performed slightly later in Holstein donors than in Gyr, and can contribute to improvement of follicular wave synchronization protocols for each of the breeds in tropical conditions. Study supported by FAPERJ, Embrapa and CNPq.

Abstract Background: BC remains the most commonly diagnosed cancer for women. TNBC is an aggressive form with a poorer prognosis compared with other subtypes. Neoadjuvant therapy (NAT) is the standard-of-care approach to shrink tumors in the breast and axilla and to improve patient outcomes. Few RW studies exist of US patients with early BC (eBC); this study aimed to describe clinical parameters by receipt of systemic therapy and to assess overall survival (OS) and progression-free survival (PFS) after NAT and adjuvant therapy (AT) in women with early HR+/HER2− or TNBC using RW evidence in the US. Methods: This retrospective observational study used the Flatiron Health nationwide electronic health record-derived de-identified database, including women ([pts], age ≥18 years) diagnosed with early HR+/HER2− BC or TNBC between 01/01/2011 and 05/31/2018. The primary outcome was to describe pt demographics, clinical characteristics, and treatment patterns. Secondary outcomes included OS and PFS. Results: Of the pts identified for inclusion (N = 5,299), 13.3% (n = 707) were diagnosed with early TNBC and 86.7% (n = 4,592) with HR+/HER2− eBC, of whom 34.7% (n = 245) and 10.9% (n = 502), respectively, did not receive systemic therapy (Table). Systemically treated pts with TNBC vs HR+/HER2− tended to be younger (59.0 years vs 64.0 years); were represented by a higher proportion of Black women (18.0% vs 7.2%); had a greater proportion presenting with invasive ductal carcinoma (IDC) (91.6% vs 78.2%); had a higher proportion with progression to metastasis (19.0% vs 5.7%) and presented with a more aggressive disease (Grade 3) at diagnosis (79.0% vs 18.4%). Most pts (98.4%) received surgery, predominantly breast-conserving surgery (BCS; unilateral lumpectomy: 62.8%); however, 17.8% received bilateral mastectomies. Overall, 9.1% of pts received NAT. More pts with TNBC vs HR+/HER2− received NAT (34.0% vs 7.9%) and achieved a pathologic complete response (pCR; 36.3% vs 6.2%). Consistent with treatment guidelines, pts with TNBC were treated with chemotherapy (CT)-doublet or single-agent regimens and pts with HR+/HER2− received hormone and CT-based regimens. Duration of NAT was similar for both subtypes (3.3 months) but was shorter for AT in pts with TNBC vs HR+/HER2− (3.4 vs 38.2 months). From initial diagnosis, the 36-month survival probability [standard error] was lower for systemically treated pts with TNBC vs HR+/HER2− (85.7% [1.8%] vs 95.6% [0.3%]) and from start of therapy by line setting (NAT: 80.6% [3.5%] vs 91.9% [1.7%]; AT: 84.7% [2.2%] vs 95.8% [0.4%]). Similarly, the 36-month PFS probability was lower for pts with TNBC vs HR+/HER2− from diagnosis (77.9% [2.1%] vs 93.3% [0.4%]) and from start of therapy by line setting (NAT: 68.7% [4.1%] vs 85.2% [2.1%]; AT: 79.5% [2.5%] vs 93.5% [0.4%]). Conclusion: This analysis of US RWE further confirms early TNBC to be a particularly aggressive form of BC, with poorer survival compared with pts with HR+/HER2− eBC. While these RW data indicate BCS is becoming more routine, almost one-fifth of pts still receive bilateral mastectomies. Overall, these data confirm there remains a high unmet need to reduce the need for aggressive treatments while further improving outcomes in pts with early TNBC and HR+/HER2− BC. Table: Patient demographics, clinical characteristics, OS and PFSPatient selection criteriaNumber of patients, n (%)SubgroupsEarly HR+/HER2− BC4,592 (86.7)Patients who received systemic therapy4,090 (89.1)Early TNBC707 (13.3)Patients who received systemic therapy462 (65.3)All patients [1] (N = 5,299), n (%)Systemically treated patients with early HR+/HER2− BC (n = 4,090), n (%)Systemically treated patients with early TNBC (n = 462), n (%)Patient demographicsMedian age (years)64.064.059.0RaceBlack or African American449 (8.5)294 (7.2)83 (18.0)White3,602 (68.0)2,835 (69.3)283 (61.3)Asian139 (2.6)111 (2.7)9 (1.9)Hispanic or Latino15 (0.3)12 (0.3)1 (0.2)Clinical characteristicsHistology at initial diagnosisIDC4,222 (79.7)3,197 (78.2)423 (91.6)ILC684 (12.9)612 (15.0)7 (1.5)Infiltrating ductal mixed and infiltrating lobular mixed132 (2.5)108 (2.6)3 (0.6)Mucinous adenocarcinoma97 (1.8)88 (2.2)0 (0.0)Other [2]122 (2.3)63 (1.5)26 (5.6)Unknown/ND42 (0.8)22 (0.5)3 (0.6)Tumor grade at initial diagnosisGrade 11,350 (25.5)1,161 (28.4)5 (1.1)Grade 22,462 (46.5)2,098 (51.3)88 (19.0)Grade 31,374 (25.9)752 (18.4)365 (79.0)Unknown/ND113 (2.1)79 (1.9)4 (0.9)Surgery at initial diagnosisYes5,215 (98.4)4,032 (98.6)450 (97.4)Surgery type [3]Unilateral lumpectomy3,277 (62.8)2,568 (63.7)241 (53.6)Unilateral mastectomy1,168 (22.4)883 (21.9)128 (28.4)Bilateral lumpectomy75 (1.4)61 (1.5)5 (1.1)Bilateral mastectomy927 (17.8)713 (17.7)89 (19.8)Treatment line settingNumber of patients who received NAT481 (9.1)324 (7.9)157 (34.0)Number of patients who received AT4,263 (80.4)3,949 (96.6)314 (68.0)pCR to NATAchieved pCR77 (16.0)20 (6.2)57 (36.3)OSFrom initial diagnosis: survival probability at Month 36, % (SE)94.0 (0.4)95.6 (0.3)85.7 (1.8)From NAT: survival probability at Month 36, % (SE)88.3 (1.6)91.9 (1.7)80.6 (3.5)From AT: survival probability at Month 36, % (SE)94.9 (0.4)95.8 (0.4)84.7 (2.2)PFSFrom initial diagnosis: progression-free probability at Month 36, % (SE)91.3 (0.4)93.3 (0.4)77.9 (2.1)From NAT: progression-free probability at Month 36, % (SE)79.9 (2.0)85.2 (2.1)68.7 (4.1)From AT: progression-free probability at Month 36, % (SE)92.5 (0.4)93.5 (0.4)79.5 (2.5)Duration of treatment, Months (n)Median duration of NAT3.3 (481)3.3 (324)3.3 (157)Median duration of AT35.3 (4263)38.2 (3,949)3.4 (314)[1] All patients includes both patients systemically treated and systemically untreated. [2] Other includes Inflammatory, Papillary, Metaplastic, Medullary and Tubular histologies. [3] Patient may have received more than one surgery. AT, adjuvant therapy; IDC, invasive ductal carcinoma; NAT, neoadjuvant therapy; ND, not documented; SE, standard error. Citation Format: Anagha Gogate, Amanda Crosbie, Trong Kim Le, Ying Zhang, Rolee Das, Catherine Davis. Clinical characteristics, treatment patterns, and survival outcomes in women with early triple-negative (TN) or hormone receptor-positive/human epidermal growth factor receptor-2 negative (HR+/HER2−) breast cancer (BC) in the real-world (RW) setting [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-12-15.

Aims/Objectives/BackgroundGlobally, injuries cause more than 5 million deaths annually. Children and young people are a particularly vulnerable group and injuries are the leading cause of death in people aged 5–24 years globally and a leading cause of disability.In most low and middle-income countries where the majority of global child injury burden occurs, systems for routinely collecting injury data are limited. There is a continuing need for better data on childhood injuries and for injury surveillance.The aim of our study was to introduce a hospital-based injury surveillance tool – the first of its kind in Nepal and explore its feasibility. We undertook prospective collection of data on all injuries/trauma presenting to 2 hospital emergency departments to describe the epidemiology of paediatric hospital injury presentations and associated risk factors.Methods/DesignA new injury surveillance system for use in emergency departments in Nepal was designed and used to collect data on patients presenting with injuries. Data were collected prospectively in two hospitals 24 h a day over 12 months (April 2019 - March 2020) by trained data collectors using tablet computers.Abstract 432 Table 1Socio-demographic profile and characteristics of injury among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020 (N=2696)CharacteristicsFrequencyGender Male 1778 Female 918 Age groups 0–4 years 653 5–9 years 866 10–14 years 680 15–17 years 497 Median year (IRQ) 8 (5 – 13) Ethnicity/caste Janajati 1384 Brahmin/Chhetri 892 Dalit 148 Madhesi 146 Muslim 74 Others 50 Unknown 2 Place where injury occurred Home/Compound 1576 Highway/road/street 636 School 233 Recreational area 138 Workplace 76 Other 37 Activities at the time injury occurred Leisure/Play 1889 Travelling (other than to/from school/work) 296 Work 202 Travelling (to/from school/work) 184 Education 42 Organised sports 11 Other 52 Unknown 20 Intent of injury Unintentional 2560 Intentional (self-harm) 61 Intentional (assault) 75 Unintentional (n=2560) Fall 912 Animal or insect related 728 Road traffic injury 356 Injured by a blunt force 201 Stabbed, cut or pierced 176 Fire, burn or scald 65 Poisoning 52 Suffocation/choking 36 Electrocution 12 Drowning and submersion 7 Other 13 Unknown 2 Self-harm (n=61) Poisoning 38 Hanging, strangulation, suffocation 12 Stabbed, cut or pierced 6 Injured by blunt object 4 Other 1 Assault (n=75) Bodily force (physical violence) 43 Injured by blunt object 18 Stabbed, cut or pierced 8 Pushing from a high place 2 Poisoning 2 Sexual assault 1 Other 1 Nature of injury (one most severe) Cuts, bites or open wound 1378 Bruise or superficial injury 383 Fracture 299 Sprain, strain or dislocation 243 Internal injury 124 Head Injury/Concussion 83 Burns 67 Other 115 Unknown 2 Not recorded 2 Severity of injury No apparent injury 125 Minor 1645 Moderate 813 Severe 111 Not recorded 2 Disposition Discharged 2317 Admitted to hospital 164 Transferred to another hospital 179 Died 21 Leave Against Medical Advice (LAMA) 11 Unknown 2 Not recorded 2 Note:Not recorded = missing cases95% CI calculated using one proportion test and normal approximation method in Minitab.Abstract 432 Table 2Distribution of injuries by age-group, sex and mechanism of injury among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Age groups & Sex0 - 4 years5 - 9 years10–14 years15–17 yearsMaleFemaleTotalIntent & mechanismsn (%)n (%)n (%)n (%)n (%)n (%)n (%)Unintentional Fall 239 (26.2) 328 (36.0) 249 (27.3) 96 (10.5) 636 (69.7) 276 (30.3) 912 (100) Animal or insect related 175 (24.0) 260 (35.7) 190 (26.1) 103 (14.1) 470 (64.6) 258 (35.4) 728 (100) Road traffic injury 49 (13.8) 108 (30.3) 86 (24.2) 113 (31.7) 223 (62.6) 133 (37.4) 356 (100) Injured by a blunt force 54 (26.9) 74 (36.8) 49 (24.4) 24 (11.9) 150 (74.6) 51 (25.4) 201 (100) Stabbed, cut or pierced 20 (11.4) 56 (31.8) 49 (27.8) 51 (29.0) 127 (72.2) 49 (27.8) 176 (100) Fire, burn or scald 42 (64.6) 10 (15.4) 9 (13.8) 4 (6.2) 27 (41.5) 38 (58.5) 65 (100) Poisoning 33 (63.5) 6 (11.5) 5 (9.6) 8 (15.4) 26 (50.0) 26 (50.0) 52 (100) Suffocation/choking 24 (66.7) 5 (13.9) 2 (5.6) 5 (13.9) 20 (55.6) 16 (44.4) 36 (100) Electrocution 2 (15.7) 0 (0.0) 3 (25.0) 7 (58.3) 10 (83.3) 2 (16.7) 12 (100) Drowning and submersion 1 (14.3) 1 (14.3) 3 (42.9) 2 (28.6) 3 (42.9) 4 (57.1) 7 (100) Other 6 (46.2) 4 (30.8) 3 (23.1) 0 (0.0) 10 (76.9) 3 (23.1) 13 (100) Unknown 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) 2 (100) Total 647 (25.3) 852 (33.3) 648 (25.3) 413 (16.1) 1702 (66.5) 858 (33.5) 2560 (100) Self-harm Poisoning 0 (0.0) 0 (0.0) 6 (15.8) 32 (84.2) 7 (18.4) 31 (81.6) 38 (100) Hanging 0 (0.0) 0 (0.0) 3 (25.0) 9 (75.0) 4 (33.3) 8 (66.7) 12 (100) Stabbed, cut or pierced 0 (0.0) 0 (0.0) 2 (33.3) 4 (66.7) 1 (16.7) 5 (83.3) 6 (100) Injured by blunt object 0 (0.0) 2 (50.0) 2 (50.0) 0 (0.0) 4 (100) 0 (0.0) 4 (100) Other 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) 1 (100) 0 (0.0) 1 (100) Total 0 (0.0) 2 (3.3) 13 (21.3) 46 (75.4) 17 (27.9) 44 (72.1) 61 (100) Assault Bodily force (physical violence) 3 (7.0) 1 (2.3) 11 (25.6) 28 (65.1) 37 (86.0) 6 (14.0) 43 (100) Injured by blunt object 2 (11.1) 8 (44.4) 4 (22.2) 4 (22.2) 13 (72.2) 5 (27.8) 18 (100) Stabbed, cut or pierced 1 (12.5) 0 (0.0) 2 (25.0) 5 (62.5) 7 (87.5) 1 (12.5) 8 (100) Pushing from a high place 0 (0.0) 1 (50.0) 1 (50.0) 0 (0.0) 1 (50.0) 1 (50.0) 2 (100) Poisoning 0 (0.0) 1 (50.0) 0 (0.0) 1 (50.0) 1 (50.0) 1 (50.0) 2 (100) Sexual assault 0 (0.0) 0 (0.0) 1 (100) 0 (0.0) 0 (0.0) 1 (100) 1 (100) Other 0 (0.0) 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) 1 (100) Total 6 (8.0) 12 (16.0) 19 (25.3) 38 (50.7) 59 (78.7) 16 (21.3) 75 (100) Abstract 432 Table 3Association of injury location, nature and severity with age among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Age groups0 – 4 years5 – 9 years10–14 years15–17 yearsTotalChi-SquareInjury characteristicsn (%)n (%)n (%)n (%)n (%)P valueLocation of injury sustained Home/Compound 537 (34.1) 504 (32.0) 319 (20.2) 216 (13.7) 1576 (100) <0.001 Highway/road/street 85 (13.4) 196 (30.8) 190 (29.9) 165 (25.9) 636 (100) School 15 (6.4) 107 (45.9) 85 (36.5) 26 (11.2) 233 (100) Recreational area 9 (6.5) 44 (31.9) 55 (39.9) 30 (21.7) 138 (100) Workplace 1 (1.3) 4 (5.3) 19 (25.0) 52 (68.4) 76 (100) Other 6 (16.2) 11 (29.7) 12 (32.4) 8 (21.6) 37 (100) Total 653 (24.2) 866 (32.1) 680 (25.2) 497 (18.4) 2696 (100) Nature of injury Cuts, bites or open wound 328 (23.8) 506 (36.7) 314 (22.8) 230 (16.7) 1378 (100) <0.001 Bruise or superficial injury 81 (21.1) 99 (25.8) 118 (30.8) 85 (22.2) 383 (100) Fracture 48 (16.1) 101 (33.8) 112 (37.5) 38 (12.7) 299 (100) Sprain, strain or dislocation 48 (19.8) 78 (32.1) 72 (29.6) 45 (18.5) 243 (100) Internal injury 44 (35.5) 8 (6.5) 18 (14.5) 54 (43.5) 124 (100) Head Injury/Concussion 18 (21.7) 26 (31.3) 18 (21.7) 21 (25.3) 83 (100) Burns 42 (62.7) 9 (13.4) 10 (14.9) 6 (9.0) 67 (100) Other 41 (35.7) 38 (33.0) 18 (15.7) 18 (15.7) 115 (100) Unknown 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Total 652 (24.2) 865 (32.1) 680 (25.2) 497 (18.4) 2694 (100) Severity of injury No apparent injury 39 (31.2) 45 (36.0) 26 (20.8) 15 (12.0) 125 (100) <0.001 Minor 419 (25.5) 535 (32.5) 406 (24.7) 285 (17.3) 1645 (100) Moderate 171 (21.0) 262 (32.2) 225 (27.7) 155 (19.1) 813 (100) Severe 23 (20.7) 23 (20.7) 23 (20.7) 42 (37.8) 111 (100) Total 652 (24.2) 865 (32.1) 680 (25.2) 497 (18.4) 2694 (100) Abstract 432 Table 4Association of injury location, nature and severity with sex among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020SexMaleFemaleTotalChi-SquareInjury characteristicsn (%)n (%)n (%)P valueLocation of injury sustained Home/Compound 979 (62.1) 597 (37.9) 1576 (100) <0.001 Highway/road/street 421 (66.2) 215 (33.8) 636 (100) School 176 (75.5) 57 (24.5) 233 (100) Recreational area 111 (80.4) 27 (19.6) 138 (100) Workplace 62 (81.6) 14 (18.4) 76 (100) Other 29 (78.4) 8 (21.6) 37 (100) Total 1778 (65.9) 918 (34.1) 2696 (100) Nature of injury Cuts, bites or open wound 959 (69.6) 419 (30.4) 1378 (100) <0.001 Bruise or superficial injury 246 (64.2) 137 (35.8) 383 (100) Fracture 200 (66.9) 99 (33.1) 299 (100) Sprain, strain or dislocation 154 (63.4) 89 (36.6) 243 (100) Internal injury 50 (40.3) 74 (59.7) 124 (100) Head Injury/Concussion 59 (71.1) 24 (28.9) 83 (100) Burns 27 (40.3) 40 (59.7) 67 (100) Other 79 (68.7) 36 (31.3) 115 (100) Unknown 2 (100) 0 (0.0) 2 (100) Total 1776 (65.9) 918 (34.1) 2694 (100) Severity of injury No apparent injury 81 (64.8) 44 (35.2) 125 (100) 0.048 Minor 1102 (67.0) 543 (33.0) 1645 (100) Moderate 533 (65.6) 280 (34.4) 813 (100) Severe 60 (54.1) 51 (45.9) 111 (100) Total 1776 (65.9) 918 (34.1) 2694 (100) Abstract 432 Table 5Distribution of injuries by outcome and mechanism of injury among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Outcome of injuryDischargedAdmittedTransferredDiedLAMAUnknownTotalIntent & mechanismsn (%)n (%)n (%)n (%)n (%)n (%)n (%)Unintentional Fall 787 (86.5) 65 (7.1) 53 (5.8) 0 (0.0) 4 (0.4) 1 (0.1) 910 (100) Animal/insect bite/sting 704 (96.7) 3 (0.4) 19 (2.6) 0 (0.0) 1 (0.1) 1 (0.1) 728 (100) Road traffic injury 260 (73.0) 47 (13.2) 44 (12.4) 5 (1.4) 0 (0.0) 0 (0.0) 356 (100) Injured by a blunt force 190 (94.5) 4 (2.0) 6 (3.0) 0 (0.0) 1 (0.5) 0 (0.0) 201 (100) Stabbed, cut or pierced 165 (93.8) 8 (4.5) 3 (1.7) 0 (0.0) 0 (0.0) 0 (0.0) 176 (100) Fire, burn or scald 52 (80.0) 12 (18.5) 1 (1.5) 0 (0.0) 0 (0.0) 0 (0.0) 65 (100) Poisoning 30 (57.7) 4 (7.7) 16 (30.8) 1 (1.9) 1 (1.9) 0 (0.0) 52 (100) Suffocation/choking/asphyxia 24 (66.7) 4 (11.1) 6 (16.7) 1 (2.8) 1 (2.8) 0 (0.0) 36 (100) Electrocution 7 (58.3) 2 (16.7) 2 (16.7) 1 (8.3) 0 (0.0) 0 (0.0) 12 (100) Drowning and submersion 4 (57.1) 0 (0.0) 0 (0.0) 3 (42.9) 0 (0.0) 0 (0.0) 7 (100) Other 12 (92.3) 1 (7.7) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 13 (100) Unknown 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Total 2237 (87.5) 150 (5.9) 150 (5.9) 11 (0.4) 8 (0.3) 2 (0.1) 2558 (100) Self-harm Poisoning 5 (13.2) 8 (21.1) 23 (60.5) 0 (0.0) 2 (5.3) 0 (0.0) 38 (100) Hanging 1 (8.3) 0 (0.0) 1 (8.3) 10 (83.3) 0 (0.0) 0 (0.0) 12 (100) Stabbed, cut or pierced 6 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 6 (100) Injured by blunt object 4 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 4 (100) Other 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) Total 17 (27.9) 8 (13.1) 24 (39.3) 10 (16.4) 2 (3.3) 0 (0.0) 61 (100) Assault Bodily force (physical violence) 34 (79.1) 5 (11.6) 3 (7.0) 0 (0.0) 1 (2.3) 0 (0.0) 43 (100) Injured by blunt object 18 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 18 (100) Stabbed, cut or pierced 6 (75.0) 1 (12.5) 1 (12.5) 0 (0.0) 0 (0.0) 0 (0.0) 8 (100) Pushing from a high place 2 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Poisoning 1 (50) 0 (0.0) 1 (50.0) 0 (0.0) 0 (0.0) 0 (0.0) 2 (100) Sexual assault 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) Other 1 (100) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 0 (0.0) 1 (100) Total 63 (84.0) 6 (8.0) 5 (6.7) 0 (0.0) 1 (1.3) 0 (0.0) 75 (100) Abstract 432 Figure 1Seasonal variation of injuries identified by the injury surveillance system over a year among children attending emergency of hospitals in Makwanpur district, Nepal, April 2019 – March 2020Results/ConclusionsThe total number of ED patients with injury in the study was 10,154.2,696 were patients aged <18 years. Most injuries in children were unintentional and over half of children presenting with injuries were <10 years of age. Falls, animal bites/stings and road traffic injuries accounted for nearly 75% of all injuries with some (drowning, poisonings and burns) under-represented. Over half of injuries were cuts, bites and open wounds. The next most common injury types were superficial injuries (14.2%); fractures (11.1%); sprains/dislocations (9.0%). Child mortality was 1%.This is the biggest prospective injury surveillance study in a low or middle country in recent years and supports the use of injury surveillance in Nepal for reducing child morbidity and mortality through improved data.CHILD PAPER: RESULTS SECTIONTotal number of ED patients: 33046Total number of ED patient with injury: 10154 (adult=7458 & children=2696)8.2% (n=2696) patients with injury were children aged <18 yearsHetauda hospital: 2274 (84.3%)Chure hill hospital: 422 (15.7%)

Introduction: Emergency department (ED) opioid prescribing has been linked to long-term use and dependence. Anecdotally, significant opioid practice variability exists between physicians and institutions, but this is poorly defined. Our objective was to collate and analyze multicenter data looking at predictors of ED opioid use and to identify potential areas for opioid stewardship. Methods: We linked administrative and computerized physician order entry (CPOE) data from all four ED's within our municipality over a one-year period. Eligible patients included those with a Canadian Triage and Acuity Scale (CTAS) pain complaint or an arrival numeric rating scale (NRS) pain score of greater than 3/10. Patients with missing demographic or chief complaint data were excluded. Multiple imputation was used for missing NRS pain scores. We performed descriptive analyses of opioid-treated and non-treated patients, followed by a multivariable logistic regression to identify predictors of ED opioid administration. Results: A total of 129,547 patients were studied. The mean age was 47.4 years and 55.4% were female. The median pain score was 6.6 in the no-opioid group and 8 in the opioid group. The most common pain categories were abdominal pain (23%), trauma (18.2%) and chest pain (15.3%). Overall, opioids were prescribed to 34% of patients. The most common CTAS score was CTAS 3 (44%), CTAS 1-2 42%) and CTAS 4-5 (13.9%). Multivariable predictors of opioid-use included the need for admission (adjusted OR 6.57; CI = 6.34-6.79), NRS pain score (aOR 1.24 per unit increase, CI 1.23-1.25), higher numerical CTAS score (aOR 0.89 per unit increase, CI 0.87-0.91), and chief complaints of back (aOR 7.69, CI 7.1-8.1), abdominal (aOR 5.9, CI 5.6-6.2), and flank pain (OR 3.8, CI 3.5-4). Oral opioids were prescribed in 39.8% of back pain presentations and 18.5% received IV opioids. Increasing age was a predictor but sex was not. There were significant institutional differences in opioid prescribing rates, with Hospital B being the least likely to prescribe opioids (aOR 0.82, CI 0.80-0.85) followed by Hospital C (aOR 0.83, CI 0.79-0.86) compared to the reference standard of Hospital A. Hospital D was most likely to prescribe opioids (aOR 1.32, CI 1.27-1.37). Conclusion: Predictors of ED opioid use were characterized using multicenter administrative data. Future research should seek to describe the physician- and site-level factors driving regional variation in opioid-based pain treatment.

Abstract Background: Obesity is associated with an increased risk of breast cancer recurrence and poor survival. Obesity rate in adults in the city of Philadelphia is high, with non-Hispanic blacks and Hispanics having the highest rates. We sought to evaluate changes in body mass index (BMI) in breast cancer survivors within the first 2 years from initial encounter for a breast cancer (BC) diagnosis (dx), and investigate factors that may correlate with a change in BMI. Methods: We identified 5,423 BC patients (pts) in our electronic medical record, (1/2015-present), using ICD-10 code C50.X. We then selected pts with BMI values at the three-time points: baseline, 1 year and 2 year intervals from baseline. The closest BMI value before the 1st encounter within 6 months prior to BC dx was considered as the baseline BMI. BMI at 1 year +/- 3 months after the BC dx was considered 1-year interval BMI. BMI at 2 years +/- 6 months after the BC dx was considered 2-year interval BMI. Subjects needed baseline BMI and at least 1 year or 2 year follow-up BMI for inclusion. After all BMI exclusions, 630 pts were included in the study cohort. We used a mixed effects model to predict BMI changes as a linear function of association with time, sex, race and ethnicity, age at BC dx, baseline BMI, treatments (i.e., chemotherapy [CT], endocrine therapy [ET], or immunotherapy [IO] and the interaction of race and ethnicity and treatment in estimating mean change of BMI. The significance level of all tests was set a priori to the 0.05 level. Results: The mean age at BC dx was 61 years; pts identified were mostly white, non-Hispanic/Caucasian (55%), or Black/African American (AA) (34%). By BMI category, we did not observe any substantial difference in the mean age at BC dx and gender distribution (p = 0.81 for age and p = 0.86 for gender). However, the distributions of race and ethnicity differed among BMI categories (p &lt; .01) where the percentage of Black/AA pts was high in the BMI ≥ 30 category. Black/AA pts receiving IO were likely to have BMI change (decrease) compare to white non-Hispanic pts with similar conditions. Black/AA pts receiving no treatment or non IO-treatment were more likely to change BMI (increased, 95% CI: 0.22, 1.03) after BC dx compared to white, non-Hispanic pts. Interestingly, Black/AA pts receiving IO tended to change BMI (decreased) compared to Black/AA pts not receiving IO. Conclusion: We observed the interaction effect of race/ethnicity and treatment on BMI change in BC survivors within 2 years after a BC dx, with Black/AA pts more likely to have an increase in BMI. Table 1.Descriptive Statistics Summary, n = 630.VariableALL (n=630)BMI ≤ 24.9 (n=160, 25%)25 ≤ BMI ≤ 29.9 (n=180, 29%)BMI ≥ 30 (n=290, 46%)p-valueAge at 1st Encounter with BC dx, mean (SD)61.8 (11.8)62.1 (12.5)62.1 (12.1)61.5 (11.2)0.808Sex, n (%)Female625 (99.2)159 (99.4)178 (98.9)288 (99.3)0.857Male5 (0.8)1 (0.6)2 (1.1)2 (0.7)Race & Ethnicity, n (%)White/Caucasian348 (55.2)103 (64.4)106 (58.9)139 (47.9)&lt;.001Black/AA215 (34.1)35 (21.9)48 (26.7)132 (45.5)Hispanic/Latino20 (3.2)5 (3.1)5 (2.8)10 (3.4)Asian/Pacific Islander39 (6.2)17 (10.6)18 (10.0)4 (1.4)American Indian/Alaskan Native2 (0.3)0 (0.0)0 (0.0)2 (0.7)Unknown6 (1.0)0 (0.0)3 (1.7)3 (1.0)BMI (baseline), mean (SD)29.9 (7.1)22.2 (2.0)27.1 (1.4)35.9 (5.7)&lt;.001Treatment (Yes) , n (%)HistoricalCT2 (0.3)1 (0.6)1 (0.6)0 (0.0)0.294ET35 (5.6)7 (4.4)12 (6.7)16 (5.5)0.663IO4 (0.6)2 (1.3)1 (0.6)1 (0.3)0.487BaselineCT20 (3.2)4 (2.5)7 (3.9)9 (3.1)0.815ET54 (8.6)16 (10.0)15 (8.3)23 (7.9)0.742IO11 (1.7)5 (3.1)2 (1.1)4 (1.4)0.3111 yearCT154 (24.4)41 (25.6)42 (23.3)71 (24.5)0.886ET309 (49.0)73 (45.6)93 (51.7)143 (49.3)0.535IO29 (4.6)10 (6.3)8 (4.4)11 (3.8)0.4892 yearsCT71 (11.3)20 (12.5)15 (8.3)36 (12.4)0.337ET231 (36.7)50 (31.3)73 (40.6)108 (37.2)0.198IO32 (5.1)7 (4.4)4 (2.2)21 (7.2)0.051 Citation Format: Maysa Abu-Khalaf, Fnu Nikita, Ayako Shimada, Hannah Hackbart, Dina Alnabulsi, Scott Keith, Ana Maria Lopez, Meghan Butryn. Change in body mass index in breast cancer survivors [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-11-32.

Abstract Imatinib is a tyrosine kinase that effectively inhibits the bcr-abl fusion protein in Philadelphia (Ph) chromosome positive CML and c-kit, which is overexpressed in gastrointestinal stomal tumors (GIST). We identified a group of patients treated with Imatinib at Memorial Hospital who developed low phosphate (PO4) levels and studied metabolic bone and mineral parameters associated with this finding. A total of 61 patients who received a prescription for Imatinib from the hospital pharmacy were screened to determine whether a PO4 level had ever been drawn. Of these, 26 had at least one PO4 level, and 10 of these (38%) had a low value (&lt;2.5 mg/dL).Patients samples were then studied for calcium (Ca++), parathyroid horme (PTH), 25-(OH)-vitamin D and 1,25-(OH)2-vitamin D, as well as serum markers of bone formation (bone alkaline phosphatase and osteocalcin) and resorption (N-telopeptide). Urinary calcium and PO4 were measured and fractional excretion of PO4 (FEPO4) was calculated as well. A total of 10 patients (8 men, 2 women) median age 47 (range 32–60) with CML (n=8) or GIST (n=2) were studied. The median time interval between diagnosis and starting Imatinib was 3.8 mos (range 0.4–161) and the median interval between starting Imatinib and first low PO4 was 3.9 mos (range 0.3–23). Results of Bone Metabolism UPIN PO4 Calcium PTH FePO4 N-Telopep Osteocalcin Bone Alk phos ND: Not done: NMA: No measurable amount; 25-(OH)-vitD levels were low to mid-normal, and 1,25-(OH)2 vit D levels were typically borderline high or elevated (data not shown) 2.5–4.2mg/dL 8.5–10.5mg/dL 10–65pg/mL &lt; 5% 5.5–19.5nM 3.1–12.7ng/ml 15–441U/L 1 2.0 8.7 84 25 ND ND ND 2 1.7 8.6 97 24 ND ND ND 3 2.3 9.4 68 44 ND ND ND 4 1.9 9.5 84 25 7.1 3.7 18 5 1.8 8.9 85 17 6.2 NMA 15 6 2.1 9.3 83 23 ND ND ND 7 1.7 8.7 57 16 5.6 NMA 17 8 1.3 8.1 136 38 10.1 NMA 53 9 2.3 9.2 81 10 13.4 NMA 17 10 2.1 8.9 41 17 5.8 2.6 15 Two patients who temporarily stopped Imatinib had normalization of their PO4, which again decreased upon resumption of the drug. In summary, patients who develop hypophosphatemia while on Imatinib have low-normal to mildly low serum Ca++ but elevated PTH, elevated FEPO4, low-normal levels of N-telopeptide, very low levels of osteocalcin, and low levels of bone alkaline phosphatase. These values distinctly differ from patients with either inherited or tumor induced forms of hypophosphatemia with renal phosphate wasting (X-linked hypophosphatemic rickets, adult dominant hypophosphatemic rickets, and tumor-induced osteomalacia). Our preliminary data suggest that in some patients, Imatinib results in profound suppression of bone formation and mild suppression of bone resorption, leading to a state of hypodynamic bone remodeling. Further investigation is planned comparing patients on Imatinib who become hypophosphatemic and those who do not. Better characterization of bone and mineral metabolism in this setting is important for several reasons: (1) myalgias from Imatinb, a common side effect, may be related to hyphophosphatemia and correctible with appropriate replacement; (2) while these data are premature, it is conceivable that Imatinib might be useful in situations where suppression of bone formation and turnover is desirable, such as in osteoblastic bone metastases, osteopetrosis, and other diseases of abnormally increased bone formation.

Abstract Abstract 525 Background: Role and timing of allografting in myeloma are hotly debated. Before the introduction of new drugs, we carried out a trial where the treatment assignment was based only on the presence/absence of an HLA-identical sibling (Bruno et al, N Engl J Med 2007). Methods: Overall, 162/199 (81%) of patients with at least one sibling were HLA-typed. First-line treatments included induction with VAD-based regimens and a cytoreductive autograft, followed by a nonmyeloablative allograft (Tandem auto-allo) or a second melphalan-based autograft (Double-auto). We now report an update at a median follow up of 7.1 years. Results: Response rates [complete (CR) and partial remissions (PR)] at the time and after the non-myeloablative allograft and at the time and after the second autograft did not differ between the two cohorts: 76% and 86%, and 76% and 91% respectively (p=1 and p=0,54). However, CR rate was significantly higher after the non-myeloablative allograft than after the second autograft: 55% versus 26% (p=0,0026). At a median follow up of 7.1 years (range 2.5 – 10.7+), by intention-to-treat analysis, median overall survival (OS) and event free survival (EFS) were significantly longer in patients with HLA-identical siblings (No.80) as compared with those without (No.82): not reached vs. 4.25 years (HR 0.51, CI 95% 0.34–0.76, p=0.001) and 2.8 vs. 2.4 years (HR 0.62, CI 95% 0.44–0.87, p=0.005). By multivariate analysis, independent of age, gender, myeloma protein isotype, Durie&Salmon stage, and disease status at the first autograft; the presence of an HLA-identical sibling was significantly associated with longer OS (HR 0.5, CI 95% 0.3–0.8, p=0.001) and EFS (HR 0.63, CI 95% 0.4–0.9, p=0.01). At a median follow up of 7.3 (range 5.4 – 10.7+ years), median OS was not reached in the 58 patients who received a non-myeloablative allograft and 5.3 years in the 46 who received a second high-dose melphalan autograft (HR 0.55, CI 95% 0.32–0.94, p=0.02), whereas EFS was 39 months and 33 months (HR 0.62, CI 95% 0.40–0.96, p=0.02) respectively. Cumulative incidence of transplant related mortality was 11% and 2% at 2 years respectively. At median follow-ups of 7.3 years from diagnosis (range 5.4 – 10.4+) and 6.5 years from the allograft (range 4.2 – 9.4+), and 7.4 years from diagnosis (range 5.6 – 10.7+) and 6.2 years from the second autograft (range 4.7 – 9.1+), 30/58 (52%) and 37/46 (80%) patients, respectively, were treated for disease relapse/progression. Salvage therapies included bortezomib- or thalidomide-containing regimens in most patients of both cohorts. After 1–3 lines of therapy, 22/30 (73%) had a response, including 5 CR and 17 PR, in the tandem auto-allo group, whereas 21/37 (54%) had a response, including 4 CR and 16 PR after the second autograft. Of note, at a median follow up of 3.9 years from the start of the first salvage therapy, OS was not reached and was 1.7 years in patients who had relapsed/progressed after the allograft and the second high-dose melphalan (HR 0.44, CI 95% 0.24–0.82, p=0.01) respectively. Conclusions: In this study, allografting conferred a long term survival advantage over standard autografting. Salvage therapy was associated with longer OS perhaps due to a synergistic effect between new drugs and residual graft-vs.-myeloma effects. In prospective clinical trials, the combination of graft-vs.-myeloma effects with “new drugs” should be explored and may increase the cure rate of myeloma patients. Disclosures: Bringhen: Celgene: Honoraria; Janssen-Cilag: Honoraria. Palumbo:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees. Boccadoro:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.