Introduction

A recent Spanish study suggested an impact of the type of hospital (teaching versus non-teaching) on survival of multiple myeloma (MM) patients. Such data, as well as other hospitalization parameters such as indications, length of stay (LOS), in-hospital mortality (IHM)  in MM patients admitted to hospitals in the U.S are lacking. We have explored the National Inpatient sample (NIS) data to address the indications for hospitalization in MM patients and their survival outcomes of the hospitalization.

Methods

We obtained the National Inpatient Sample (NIS) data for the years 01/2001 until 12/2010 from Healthcare Cost and Utilization Project database (HCUP) database. The 2010 NIS contains all discharge data located in 45 States, approximating a 20% stratified sample of the U.S hospitals. Teaching hospital was defined as a hospital supported by AMA-approved residency program, is a member of the council of teaching hospitals or has a ratio of full-time equivalent interns and residents to beds of ≥0.25.

Results

A total of 178354 admissions reported to NIS were analyzed. Majority of admissions were to teaching hospitals (61.7% admissions: 45.8% for non-SCT and 15.9% for SCT indications) (Table 1). Among the patients that were admitted for non-SCT indications, significantly younger patients were admitted to teaching hospitals. Complicated procedures such as cancer chemotherapy were admitted to teaching hospitals (teaching vs. non-teaching: 8.3% vs. 3.4%; p=<0.0001) and simple procedures such as blood transfusions were admitted to non-teaching hospitals (teaching vs. non-teaching: 13% vs. 19.2%; p=<0.0001). The IHM is significantly increased in non-teaching hospitals (teaching vs. non-teaching: IHM: 9.8 vs. 12.5%; p=<0.0001). Among the patients that were admitted for SCT as the primary procedure, IHM for autologous SCT is 1.64% and for allogeneic SCT is 5.94%.

Conclusions

This analysis suggests inferior survival outcomes in MM patients admitted to non-teaching hospitals. Despite the difference in severity of admissions, IHM is significantly increased in non-teaching hospitals. This effect is at least partially attributable to older patient admissions. IHM in SCT admissions is similar to published literature, validating our findings.

Stem Cell Transplant (%)Non-Stem Cell Transplant (%)
N=178354Teaching Hospital (%)Non-teaching (%)p-valueTeaching Hospital (%)Non-teaching Hospital (%)p-value
Multiple myeloma admissions 28344 (15.9) 870 (0.5)*  81765 (45.8) 67169 (37.7) ** 
Mean Age (SE) in years 57.46 (0.2) 58.29 (0.8) 0.89 65.27 (0.1) 69.37 (0.06) ** 
Mean length of stay (SE) in days 18.35 (0.3) 15.81 (2.9) 0.39 9.96 (0.07) 8.59(0.08) ** 
In hospital mortality (IHM) 520 (1.8) 19/870 (2.2) 0.72 7982 (9.8) 8361 (12.5) ** 
White 15632 (70.8) 489 (78.0) 0.12 37884 (59.7) 37200 (71.3) ** 
Black 3251 (14.7) 77 (12.2) 0.59 16496 (26) 8717 (16.7) ** 
Medicare 6712 (23.7) 230 (26.5) 0.46 42865 (52.5) 43100 (64.3) ** 
Medicaid 2152 (7.6) 38 (4.35) 0.03 7641 (9.4) 3318 (4.9) ** 
  
Secondary diagnosis 
Anemia 5858 (21.0) 148 (17.46) 0.51 5530 (6.9) 5363 (8.1) 0.0003 
Fluid and electrolyte disorders 1430 (5.1) 22 (2.65) 0.19 5326 (6.6) 5825 (8.8) ** 
Acute and renal failure 855 (3.1) 15 (1.74) 0.27 12852 (15.9) 9752 (14.7) 0.02 
Pathological fracture 433 (1.5) 9(1.09) 0.53 6710 (8.3) 5289 (8.0) 0.35 
White blood cell disorders 2720 (9.7) 69(8.17) 0.72 625 (0.8) 615 (0.9) 0.37 
  
Most common primary procedure 
Bone Marrow biopsy    12658 (19.0) 11165 (22.7) 0.02 
Blood transfusion    8701 (13.0) 9431 (19.2) ** 
Cancer chemotherapy    5538 (8.3) 1679 (3.4) ** 
  
Types of transplants 
Autologous SCT 813 (93.3) 26736 (94.3) 0.47    
Allogeneic SCT 53 (6.1) 1575 (5.6) 0.68    
Others (Cord blood, not specified) 5 (0.6) 34 (0.1) 0.14    
Stem Cell Transplant (%)Non-Stem Cell Transplant (%)
N=178354Teaching Hospital (%)Non-teaching (%)p-valueTeaching Hospital (%)Non-teaching Hospital (%)p-value
Multiple myeloma admissions 28344 (15.9) 870 (0.5)*  81765 (45.8) 67169 (37.7) ** 
Mean Age (SE) in years 57.46 (0.2) 58.29 (0.8) 0.89 65.27 (0.1) 69.37 (0.06) ** 
Mean length of stay (SE) in days 18.35 (0.3) 15.81 (2.9) 0.39 9.96 (0.07) 8.59(0.08) ** 
In hospital mortality (IHM) 520 (1.8) 19/870 (2.2) 0.72 7982 (9.8) 8361 (12.5) ** 
White 15632 (70.8) 489 (78.0) 0.12 37884 (59.7) 37200 (71.3) ** 
Black 3251 (14.7) 77 (12.2) 0.59 16496 (26) 8717 (16.7) ** 
Medicare 6712 (23.7) 230 (26.5) 0.46 42865 (52.5) 43100 (64.3) ** 
Medicaid 2152 (7.6) 38 (4.35) 0.03 7641 (9.4) 3318 (4.9) ** 
  
Secondary diagnosis 
Anemia 5858 (21.0) 148 (17.46) 0.51 5530 (6.9) 5363 (8.1) 0.0003 
Fluid and electrolyte disorders 1430 (5.1) 22 (2.65) 0.19 5326 (6.6) 5825 (8.8) ** 
Acute and renal failure 855 (3.1) 15 (1.74) 0.27 12852 (15.9) 9752 (14.7) 0.02 
Pathological fracture 433 (1.5) 9(1.09) 0.53 6710 (8.3) 5289 (8.0) 0.35 
White blood cell disorders 2720 (9.7) 69(8.17) 0.72 625 (0.8) 615 (0.9) 0.37 
  
Most common primary procedure 
Bone Marrow biopsy    12658 (19.0) 11165 (22.7) 0.02 
Blood transfusion    8701 (13.0) 9431 (19.2) ** 
Cancer chemotherapy    5538 (8.3) 1679 (3.4) ** 
  
Types of transplants 
Autologous SCT 813 (93.3) 26736 (94.3) 0.47    
Allogeneic SCT 53 (6.1) 1575 (5.6) 0.68    
Others (Cord blood, not specified) 5 (0.6) 34 (0.1) 0.14    
*

206 have information missing on teaching status of the hospital; **p<0.0001

Disclosures:

Kaufman:Onyx: Consultancy; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Janssen: Consultancy; Millenium: Consultancy; Merck: Research Funding. Boise:Onyx Pharmaceuticals: Consultancy. Lonial:Millennium: Consultancy; Celgene: Consultancy; Novartis: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Onyx: Consultancy.

Author notes

*

Asterisk with author names denotes non-ASH members.

Sign in via your Institution