Next Article in Journal
Vasculogenic Chronic Ulcer: Tissue Regeneration with an Innovative Dermal Substitute
Next Article in Special Issue
Incidence and Mortality of Renal Cell Carcinoma after Kidney Transplantation: A Meta-Analysis
Previous Article in Journal
Serum Erythroferrone Levels Associate with Mortality and Cardiovascular Events in Hemodialysis and in CKD Patients: A Two Cohorts Study
Previous Article in Special Issue
Higher Incidence of BK Virus Nephropathy in Pediatric Kidney Allograft Recipients with Alport Syndrome
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 8
Issue 4
10.3390/jcm8040524
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Subarachnoid Hemorrhage in Hospitalized Renal Transplant Recipients with Autosomal Dominant Polycystic Kidney Disease: A Nationwide Analysis

by
Wisit Cheungpasitporn
1,*,
Charat Thongprayoon
2,
Patompong Ungprasert
3,
Karn Wijarnpreecha
4,
Wisit Kaewput
5,
Napat Leeaphorn
6,
Tarun Bathini
7,
Fouad T. Chebib
2 and
Paul T. Kröner
4
1
Division of Nephrology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
2
Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA
3
Clinical Epidemiology Unit, Department of Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
4
Department of Medicine, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL 32224, USA
5
Department of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok 10400, Thailand
6
Department of Nephrology, Department of Medicine, Saint Luke’s Health System, Kansas City, MO 64111, USA
7
Department of Internal Medicine, University of Arizona, Tucson, AZ 85721, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2019, 8(4), 524; https://doi.org/10.3390/jcm8040524
Submission received: 21 March 2019 / Revised: 12 April 2019 / Accepted: 15 April 2019 / Published: 17 April 2019
(This article belongs to the Special Issue Recent Advances and Clinical Outcomes of Kidney Transplantation)
Review Reports Versions Notes

Abstract

:
Background: This study aimed to evaluate the hospitalization rates for subarachnoid hemorrhage (SAH) among renal transplant patients with adult polycystic kidney disease (ADPKD) and its outcomes, when compared to non-ADPKD renal transplant patients. Methods: The 2005–2014 National Inpatient Sample databases were used to identify all hospitalized renal transplant patients. The inpatient prevalence of SAH as a discharge diagnosis between ADPKD and non-ADPKD renal transplant patients was compared. Among SAH patients, the in-hospital mortality, use of aneurysm clipping, hospital length of stay, total hospitalization cost and charges between ADPKD and non-ADPKD patients were compared, adjusting for potential confounders. Results: The inpatient prevalence of SAH in ADPKD was 3.8/1000 admissions, compared to 0.9/1000 admissions in non-ADPKD patients (p < 0.01). Of 833 renal transplant patients with a diagnosis of SAH, 30 had ADPKD. Five (17%) ADPKD renal patients with SAH died in hospitals compared to 188 (23.4%) non-ADPKD renal patients (p = 0.70). In adjusted analysis, there was no statistically significant difference in mortality, use of aneurysm clipping, hospital length of stay, or total hospitalization costs and charges between ADPKD and non-ADPKD patients with SAH. Conclusion: Renal transplant patients with ADPKD had a 4-fold higher inpatient prevalence of SAH than those without ADPKD. Further studies are needed to compare the incidence of overall admissions in ADPKD and non-ADPKD patients. When renal transplant patients developed SAH, inpatient mortality rates were high regardless of ADPKD status. The outcomes, as well as resource utilization, were comparable between the two groups.

1. Introduction

Subarachnoid hemorrhage (SAH) is a major clinical problem worldwide, associated with a poor prognosis, long-term morbidity, and extremely high mortality [1,2,3]. In the United States, over 30,000 cases of SAH occur annually [4,5]. Although global SAH has decreased each year from 1960 through 2017 [6], approximately 30% to 50% of patients who developed SAH died at 60 days. Furthermore, over 30% of survivors subsequently suffered neurologic deficits post-SAH [1,2,3,4,7,8,9]. Major causes of SAH include ruptured intracranial aneurysm, cerebral arteriovenous malformation, and traumatic brain injury [6,10].
Among patients with autosomal dominant polycystic kidney disease (ADPKD), a disorder that affects the kidneys and other organs caused by mutations in PKD1 and PKD2, a wide spectrum of vascular abnormalities have been described including intracranial aneurysms (and dolichoectasias), thoracic aorta and cervicocephalic artery dissections, and coronary artery aneurysms [11,12]. Compared to the general population, the prevalence of intracranial aneurysms in ADPKD patients is approximately five times higher and is estimated at 4% to 22.5% [13,14,15,16,17,18,19]. Among ADPKD patients with a family history of SAH/intracranial aneurysms, the frequency is three to five times higher than the general population [12]. Thus, screening is recommended for intracranial aneurysms among ADPKD patients with (1) family or past medical history of intracranial aneurysm presence or rupture; (2) symptoms suggesting intracranial aneurysm; (3) occupations in which loss of consciousness may be fatal; (4) upcoming major elective surgery; and (5) patient subjective concern for possible intracranial aneurysm presence [20,21,22].
Despite the recommendation for intracranial aneurysm screening prior to major elective surgery, such screening for ADPKD patients is not consistently performed among all transplant centers in the USA during pre-transplant assessment for renal transplantation [23,24]. In addition, previously published studies on the increased risk of SAH after renal transplantation in patients with ADPKD have not yielded relevant information, or have been underpowered [25,26,27,28,29,30,31].
Thus, we conducted this study using a nationwide inpatient USA database to evaluate the hospitalization rates for SAH among renal transplant patients with ADPKD and its outcomes, when compared to non-ADPKD renal transplant patients.

2. Methods

2.1. Data Source

The 2005–2014 National Inpatient Sample (NIS) databases were used to conduct this retrospective cohort study. The NIS is the largest inpatient all-payer database that is publicly available in the US. This database was developed by the Agency for Healthcare Research and Quality (AHRQ) as part of its Healthcare Cost and Utilization Project (HCUP). The dataset for the studied years contains more than 78 million hospitalizations, which in itself is a 20% stratified sample of over 4000 non-federal acute care hospitals in 44 states of the United States, and is representative of 95% of hospitalizations nationwide. This dataset included codes for principal diagnosis, secondary diagnoses, and codes for procedures performed during the hospitalization.

2.2. Study Population

Initially, renal transplant patients were identified using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes of v42.0. The ADPKD status in this cohort was identified using the ICD-9-CM code 753.13. The associated diagnosis of SAH was identified using the ICD-9-CM code 430. Patients undergoing elective hospital admission or patients undergoing renal transplantation during the same admission were excluded from the analysis.

2.3. Variable Definition

Patient characteristics included age, gender, ethnicity, median income in patients’ zip code, family history of stroke, and insurance type. Hospital characteristics included hospital region, teaching status, number of hospital beds, urban location, and weekend admission. The Healthcare Cost and Utilization Project (HCUP) divides the US into four census regions based on geographical location: Northeast, Midwest, South and West. The vital status at the end of hospitalization, length of hospital stay (LOS), and total hospitalization charges were abstracted from the database. To account for patient comorbidities, the Deyo adaptation of the Charlson Comorbidity Index was used, which was appropriate for the large database analysis [32].

2.4. Outcomes

The outcome for primary analysis was to determine the inpatient prevalence of SAH as a discharge diagnosis in renal transplant patients with ADPKD, compared to renal transplant patients without ADPKD. The outcomes for secondary analysis were to compare in-hospital mortality, the use of aneurysm clipping, length of hospital stay, and expenditures between ADPKD and non-ADPKD patients with SAH. Expenditures included total hospitalization charges and hospitalization costs. Total hospitalization charges represented the amount of financial resources that each hospital billed for providing its service for each patient, whereas hospitalization costs represented the amount of money spent by each hospital in providing the patient care. Hospitalization costs were calculated by multiplying the cost-to-charge ratios for the respective hospitals with the total hospitalization charges. Cost-to-charge ratios were provided by the Healthcare Cost and Utilization Project (HCUP) for each hospitalization in the database in order to enable this calculation. Since this study used datasets for 10 different calendar years, costs and charges were adjusted for inflation using the consumer price index and converting them to 2014 $USD equivalents.

2.5. Statistical Analysis

Discharge-level weights on the HCUP nationwide databases were used to estimate the total number of renal transplant patients that had an associated diagnosis of SAH. Descriptive statistics were used to identify the patient characteristics. Fisher’s exact test was used to compare proportions. Students’ t-test was used to compare means. A hybrid multivariate logistic regression model was built by first conducting a univariate regression analysis on variables that were identified from other studies as being relevant to the outcome. If these variables impacted the outcome in any direction with a p-value of <0.01, they were included in the multivariate logistic regression model. In multivariate logistic regression, odds ratios and means were adjusted for age, gender, insurance type, family history of stroke, the median income in patients’ zip code, hospital region, urban location, number of hospital beds and teaching status. All statistical analyses were performed using STATA, Version 13 (StataCorp LP, College Station, TX, USA).

3. Results

3.1. Inpatient Prevalence of SAH as a Discharge Diagnosis

Out of 382,516,561 patients admitted to hospitals during the study period, 918,478 were identified as having had a history of renal transplant. ADPKD patients who underwent renal transplant had higher inpatient prevalence of SAH as a discharge diagnosis than non-ADPKD renal transplant patients (3.8 vs. 0.9 cases per 1000 discharges; p < 0.01).

3.2. Patient and Hospital Characteristics in SAH Patients

In total, 833 patients had an associated diagnosis of SAH. These included 30 ADPKD renal transplant patients and 803 non-ADPKD renal transplant patients. The ADPKD renal transplant patients were older, had higher comorbidity burden, and were more likely to be admitted to teaching hospitals than non-ADPKD renal patients. There was no significant difference in terms of weekend admission, the median income in patients’ zip code, insurance type, hospital region, urban location, and number of hospital beds between the two cohorts (Table 1).

3.3. Mortality

A total of 5 (17%) ADPKD renal transplant patients with SAH died in hospitals compared to 188 (23.4%) non-ADPKD renal transplant patients (p = 0.70). Similarly, in adjusted analysis, there was no difference in in-hospital mortality between the two groups, with an adjusted odds ratio (aOR) of 0.87 (95% confidence interval (CI) 0.12–6.23; p = 0.89) (Table 2).

3.4. Use of Aneurysm Clipping

Ten (33.0%) ADPKD renal transplant patients with SAH underwent aneurysm clipping, compared to 137 (17.1%) non-ADPKD renal transplant patients (p = 0.32). On adjusted analysis, the use of aneurysm clipping in ADPKD renal transplant patients was not significantly higher than non-ADPKD renal transplant patients (aOR: 2.02; 95% CI 0.28–14.81; p = 0.49) (Table 2).

3.5. Hospital Length of Stay

The mean LOS in ADPKD renal transplant patients with SAH was 9.8 days, compared to 8.9 days in the non-ADPKD renal transplant SAH patients. Although the mean additional LOS in ADPKD renal transplant patients with SAH was 3.0 days shorter than non-ADPKD renal transplant patients with SAH, this was not statistically significant (95% CI: −10.1–4.1, p = 0.41) on adjusted analysis (Table 3).

3.6. Total Hospitalization Costs and Charges

The mean hospital cost for ADPKD renal transplant patients with SAH was $ 30,519, while the mean hospital cost for non-ADPKD renal transplant patients with SAH was $ 33,526 (p = 0.04). Although the ADPKD renal transplant patients with SAH had a mean hospital cost $ 1086 lower than the non-ADPKD renal transplant patients, the difference was not statistically significant (95% CI: −22,548–20,376, p = 0.92) on adjusted analysis (Table 3).
The mean total hospitalization charge for ADPKD renal transplant patients with SAH was $ 85,682, while the mean total hospitalization charges for non-ADPKD renal transplant patients with SAH was $ 112,514. Although ADPKD renal transplant patients with SAH had a mean hospitalization charge $ 14,944 lower than the non-ADPKD renal transplant patients, this was not statistically significant (95% CI: −73,293–43,404, p = 0.62) on adjusted analysis (Table 3).

4. Discussion

In this study utilizing the USA Nationwide Inpatient Sample database, we demonstrated that renal transplant patients with ADPKD had a 4-fold higher inpatient prevalence of SAH than those without ADPKD. When renal transplant patients developed SAH, the inpatient mortality rate was high (around 20 to 30%), regardless of ADPKD status. In addition, the use of aneurysm clipping for SAH and hospital LOS were comparable among renal transplant patients with and without ADPKD.
In the previous analysis using USA Renal Data System registry data, Lentine et al. reported a decreased risk of SAH in renal transplant patients when compared to end-stage renal disease (ESRD) patients on the transplant waiting list [33]. Additionally, among ESRD patients on dialysis, it has been shown that ADPKD is associated with an increased risk of SAH [34,35]. Despite an overall reduction in SAH risk after renal transplantation [33], our study demonstrates a higher relative frequency of SAH among ADPKD patients compared to those without ADPKD and aims to raise awareness that SAH remains an important concern in the post-transplantation population.
The risk of intracranial aneurysms among ADPKD patients increased with age [36,37] and its prevalence is substantially increased after 45 years of age, especially among ADPKD Caucasian patients [38]. The average age of patients with ADPKD and ESRD is greater than 45 years [34,35,38]. However, intracranial aneurysm screening during pre-transplant evaluation for renal transplantation was a requirement for some but not all transplant centers in the USA, despite recommendation for intracranial aneurysm screening prior to major elective surgery [23,24]. Furthermore, a very recent study by Flahault et al. including 495 ADPKD patients suggested that systematic screening was cost-effective and provided a gain of 0.68 quality-adjusted life years compared to targeted screening in only those with a familial history of intracranial aneurysms [21]. The investigators concluded that intracranial aneurysm screening could be proposed to all ADPKD patients regardless of family history of stroke [21].
In our study involving renal transplanted patients, after adjusting for potential confounders including family history of stroke, the relative frequency of SAH among ADPKD patients remained significantly higher compared to those without ADPKD. This may suggest potential development of SAH in renal transplant patients with ADPKD, regardless of family history of stroke. When patients develop SAH, the mortality rate is high regardless of renal transplant status [27,33,39,40,41]. In our study, nearly 25% of renal transplant patients with SAH died during hospital admission. After adjusting for potential confounders, we found no differences in in-hospital mortality, rate of aneurysm clipping, hospital LOS, hospital costs and total hospitalization charges among ADPKD and non-ADPKD renal transplant patients with SAH.
Several limitations of this study must be acknowledged. Firstly, although the utilization of the NIS database enables an assessment of inpatient relative frequency and burden of SAH in renal transplant patients in the USA, potential inaccuracies in ICD-9-CM coding are significant limitations to our study. Secondly, the data relating to types of mutation among ADPKD patients were limited in this study. Since patients with PKD2-associated ADPKD usually develop ESRD at an older age compared to renal-transplanted ADPKD patients (mean age: 79.7 vs. 58.9 years) [22,42,43], it is likely that our study represents the outcomes of SAH among renal transplant patients with PKD1-associated ADPKD. Thirdly, this is an analysis of an inpatient USA database and, thus, it does not consider the broader USA outpatient renal transplant population nor the renal transplant population in other countries. Because of the nature of the NIS database, our study included only inpatient renal transplant patients and might be subject to selection bias. Without knowing the total number of all ADPKD and non-ADPKD renal transplant patients, the overall admission rates for any reasons cannot be calculated. Fourthly, although the findings of our study highlight the burden of SAH in ADPKD renal transplant patients, it cannot be concluded that screening all ADPKD patients prior to renal transplantation is cost-effective. Nevertheless, physicians should take into account the risk of SAH among ADPKD renal transplant patients. Furthermore, the practice of intracranial aneurysm screening in ADPKD patients might vary between hospitals. However, information regarding the practice of intracranial aneurysm screening was not available in our study. Lastly, given the administrative nature of the dataset, it was not possible to investigate the effects of medication, such as immunosuppressants, on economic burden and mortality among ADPKD and non-ADPKD renal transplant patients with SAH.

5. Conclusions

In conclusion, in this study using the USA Nationwide Inpatient Sample database, we demonstrate higher inpatient relative frequency of SAH among ADPKD renal transplant patients when compared with non-ADPKD renal transplant patients. In-hospital mortality due to SAH among renal transplant patients was high, regardless of ADPKD status. The use of aneurysm clipping for SAH and hospital length of stay were comparable between ADPKD renal transplant patients and those without ADPKD.

Author Contributions

Conceptualization, W.C., N.L., F.T.C. and P.T.K.; Data curation, P.T.K.; Investigation, W.C., C.T., W.K. and P.T.K.; Methodology, W.C., C.T., P.U., K.W., T.B., F.T.C. and P.T.K.; Project administration, W.C. and P.U.; Resources, P.T.K.; Software, P.T.K.; Supervision, N.L., F.T.C. and P.T.K.; Validation, W.C. and P.T.K.; Visualization, N.L.; Writing—original draft, W.C. and C.T.; Writing—review & editing, P.U., K.W., W.K., N.L., T.B., F.T.C. and P.T.K.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Macdonald, R.L.; Schweizer, T.A. Spontaneous subarachnoid haemorrhage. Lancet 2017, 389, 655–666. [Google Scholar] [CrossRef]
  2. van Gijn, J.; Kerr, R.S.; Rinkel, G.J. Subarachnoid haemorrhage. Lancet 2007, 369, 306–318. [Google Scholar] [CrossRef]
  3. Vivancos, J.; Gilo, F.; Frutos, R.; Maestre, J.; Garcia-Pastor, A.; Quintana, F.; Roda, J.M.; Ximenez-Carrillo, A.; Diez Tejedor, E.; Fuentes, B.; et al. Clinical management guidelines for subarachnoid haemorrhage. Diagnosis and treatment. Neurologia 2014, 29, 353–370. [Google Scholar] [CrossRef]
  4. D’Souza, S. Aneurysmal subarachnoid hemorrhage. J. Neurosurg. Anesthesiol. 2015, 27, 222–240. [Google Scholar] [CrossRef]
  5. Diringer, M.N.; Zazulia, A.R. Aneurysmal subarachnoid hemorrhage: Strategies for preventing vasospasm in the intensive care unit. Semin. Respir. Crit. Care Med. 2017, 38, 760–767. [Google Scholar]
  6. Etminan, N.; Chang, H.S.; Hackenberg, K.; de Rooij, N.K.; Vergouwen, M.D.I.; Rinkel, G.J.E.; Algra, A. Worldwide incidence of aneurysmal subarachnoid hemorrhage according to region, time period, blood pressure, and smoking prevalence in the population: A systematic review and meta-analysis. JAMA Neurol. 2019. [Google Scholar] [CrossRef] [PubMed]
  7. Lantigua, H.; Ortega-Gutierrez, S.; Schmidt, J.M.; Lee, K.; Badjatia, N.; Agarwal, S.; Claassen, J.; Connolly, E.S.; Mayer, S.A. Subarachnoid hemorrhage: Who dies, and why? Crit. Care 2015, 19, 309. [Google Scholar] [CrossRef]
  8. Kaptain, G.J.; Lanzino, G.; Kassell, N.F. Subarachnoid haemorrhage: Epidemiology, risk factors, and treatment options. Drugs Aging 2000, 17, 183–199. [Google Scholar] [CrossRef] [PubMed]
  9. Cahill, J.; Calvert, J.W.; Zhang, J.H. Mechanisms of early brain injury after subarachnoid hemorrhage. J. Cereb. Blood Flow Metab. 2006, 26, 1341–1353. [Google Scholar] [CrossRef] [PubMed]
  10. Kirkpatrick, P.J. Subarachnoid haemorrhage and intracranial aneurysms: What neurologists need to know. J. Neurol. Neurosurg. Psychiatry 2002, 73, 28–33. [Google Scholar]
  11. Graf, S.; Schischma, A.; Eberhardt, K.E.; Istel, R.; Stiasny, B.; Schulze, B.D. Intracranial aneurysms and dolichoectasia in autosomal dominant polycystic kidney disease. Nephrol. Dial. Transplant. 2002, 17, 819–823. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Rossetti, S.; Harris, P.C. The genetics of vascular complications in autosomal dominant polycystic kidney disease (ADPKD). Curr. Hypertens Rev. 2013, 9, 37–43. [Google Scholar] [CrossRef] [PubMed]
  13. Vlak, M.H.; Algra, A.; Brandenburg, R.; Rinkel, G.J. Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: A systematic review and meta-analysis. Lancet Neurol. 2011, 10, 626–636. [Google Scholar] [CrossRef]
  14. Chapman, A.B.; Rubinstein, D.; Hughes, R.; Stears, J.C.; Earnest, M.P.; Johnson, A.M.; Gabow, P.A.; Kaehny, W.D. Intracranial aneurysms in autosomal dominant polycystic kidney disease. N. Engl. J. Med. 1992, 327, 916–920. [Google Scholar] [CrossRef]
  15. Schievink, W.I.; Torres, V.E.; Piepgras, D.G.; Wiebers, D.O. Saccular intracranial aneurysms in autosomal dominant polycystic kidney disease. J. Am. Soc. Nephrol. 1992, 3, 88–95. [Google Scholar]
  16. Xue, C.; Zhou, C.C.; Wu, M.; Mei, C.L. The clinical manifestation and management of autosomal dominant polycystic kidney disease in china. Kidney Dis. 2016, 2, 111–119. [Google Scholar] [CrossRef]
  17. Niemczyk, M.; Gradzik, M.; Fliszkiewicz, M.; Kulesza, A.; Golebiowski, M.; Paczek, L. Natural history of intracranial aneurysms in autosomal dominant polycystic kidney disease. Neurol. Neurochir. Pol. 2017, 51, 476–480. [Google Scholar] [CrossRef] [PubMed]
  18. Lee, V.W.; Dexter, M.A.; Mai, J.; Vladica, P.; Lopez-Vargas, P.; Rangan, G.K. Kha-cari autosomal dominant polycystic kidney disease guideline: Management of intracranial aneurysms. Semin. Nephrol. 2015, 35, 612–617. [Google Scholar] [CrossRef] [PubMed]
  19. Gieteling, E.W.; Rinkel, G.J. Characteristics of intracranial aneurysms and subarachnoid haemorrhage in patients with polycystic kidney disease. J. Neurol. 2003, 250, 418–423. [Google Scholar] [CrossRef]
  20. Kanaan, N.; Devuyst, O.; Pirson, Y. Renal transplantation in autosomal dominant polycystic kidney disease. Nat. Rev. Nephrol. 2014, 10, 455–465. [Google Scholar] [CrossRef]
  21. Flahault, A.; Trystram, D.; Nataf, F.; Fouchard, M.; Knebelmann, B.; Grunfeld, J.P.; Joly, D. Screening for intracranial aneurysms in autosomal dominant polycystic kidney disease is cost-effective. Kidney Int. 2018, 93, 716–726. [Google Scholar] [CrossRef]
  22. Chebib, F.T.; Torres, V.E. Autosomal dominant polycystic kidney disease: Core curriculum 2016. Am. J. Kidney Dis. 2016, 67, 792–810. [Google Scholar] [CrossRef]
  23. Mosconi, G.; Persici, E.; Cuna, V.; Pedone, M.; Tonioli, M.; Conte, D.; Ricci, A.; Feliciangeli, G.; La Manna, G.; Nanni Costa, A.; et al. Renal transplant in patients with polycystic disease: The Italian experience. Transplant. Proc. 2013, 45, 2635–2640. [Google Scholar] [CrossRef]
  24. Patel, M.S.; Kandula, P.; Wojciechowski, D.; Markmann, J.F.; Vagefi, P.A. Trends in the management and outcomes of kidney transplantation for autosomal dominant polycystic kidney disease. J. Transplant. 2014, 2014, 675697. [Google Scholar] [CrossRef]
  25. Aull-Watschinger, S.; Konstantin, H.; Demetriou, D.; Schillinger, M.; Habicht, A.; Horl, W.H.; Watschinger, B. Pre-transplant predictors of cerebrovascular events after kidney transplantation. Nephrol. Dial. Transplant. 2008, 23, 1429–1435. [Google Scholar] [CrossRef] [PubMed]
  26. Abedini, S.; Holme, I.; Fellstrom, B.; Jardine, A.; Cole, E.; Maes, B.; Holdaas, H. Cerebrovascular events in renal transplant recipients. Transplantation 2009, 87, 112–117. [Google Scholar] [CrossRef]
  27. Oliveras, A.; Roquer, J.; Puig, J.M.; Rodriguez, A.; Mir, M.; Orfila, M.A.; Masramon, J.; Lloveras, J. Stroke in renal transplant recipients: Epidemiology, predictive risk factors and outcome. Clin. Transplant. 2003, 17, 1–8. [Google Scholar] [CrossRef]
  28. Adams, H.P., Jr.; Dawson, G.; Coffman, T.J.; Corry, R.J. Stroke in renal transplant recipients. Arch. Neurol. 1986, 43, 113–115. [Google Scholar] [CrossRef]
  29. Pirson, Y.; Christophe, J.L.; Goffin, E. Outcome of renal replacement therapy in autosomal dominant polycystic kidney disease. Nephrol. Dial. Transplant. 1996, 11, 24–28. [Google Scholar] [CrossRef]
  30. Wijdicks, E.F.; Torres, V.E.; Schievink, W.I.; Sterioff, S. Cerebral hemorrhage in recipients of renal transplantation. Mayo Clin. Proc. 1999, 74, 1111–1112. [Google Scholar] [CrossRef] [PubMed]
  31. Martinez-Vila, E.; Quiroga, J. Neurological complications after transplants: Cerebrovascular complications. Rev. Neurol. 1995, 23, 79–86. [Google Scholar]
  32. Deyo, R.A.; Cherkin, D.C.; Ciol, M.A. Adapting a clinical comorbidity index for use with ICD-9-cm administrative databases. J. Clin. Epidemiol. 1992, 45, 613–619. [Google Scholar] [CrossRef]
  33. Lentine, K.L.; Rocca Rey, L.A.; Kolli, S.; Bacchi, G.; Schnitzler, M.A.; Abbott, K.C.; Xiao, H.; Brennan, D.C. Variations in the risk for cerebrovascular events after kidney transplant compared with experience on the waiting list and after graft failure. Clin. J. Am. Soc. Nephrol. 2008, 3, 1090–1101. [Google Scholar] [CrossRef]
  34. Yoo, D.J.; Agodoa, L.; Yuan, C.M.; Abbott, K.C.; Nee, R. Risk of intracranial hemorrhage associated with autosomal dominant polycystic kidney disease in patients with end stage renal disease. BMC Nephrol. 2014, 15, 39. [Google Scholar] [CrossRef]
  35. Rivera, M.; Gonzalo, A.; Gobernado, J.M.; Orte, L.; Quereda, C.; Ortuno, J. Stroke in adult polycystic kidney disease. Postgra. Med. J. 1992, 68, 735–738. [Google Scholar] [CrossRef]
  36. Xu, H.W.; Yu, S.Q.; Mei, C.L.; Li, M.H. Screening for intracranial aneurysm in 355 patients with autosomal-dominant polycystic kidney disease. Stroke 2011, 42, 204–206. [Google Scholar] [CrossRef]
  37. Rozenfeld, M.N.; Ansari, S.A.; Shaibani, A.; Russell, E.J.; Mohan, P.; Hurley, M.C. Should patients with autosomal dominant polycystic kidney disease be screened for cerebral aneurysms? AJNR Am. J. Neuroradiol. 2014, 35, 3–9. [Google Scholar] [CrossRef]
  38. Niemczyk, M.; Gradzik, M.; Niemczyk, S.; Bujko, M.; Golebiowski, M.; Paczek, L. Intracranial aneurysms in autosomal dominant polycystic kidney disease. AJNR Am. J. Neuroradiol. 2013, 34, 1556–1559. [Google Scholar] [CrossRef]
  39. Rincon, F.; Mayer, S.A. The epidemiology of intracerebral hemorrhage in the united states from 1979 to 2008. Neurocrit. Care 2013, 19, 95–102. [Google Scholar] [CrossRef]
  40. An, S.J.; Kim, T.J.; Yoon, B.W. Epidemiology, risk factors, and clinical features of intracerebral hemorrhage: An update. J. Stroke 2017, 19, 3–10. [Google Scholar] [CrossRef]
  41. Tatlisumak, T.; Cucchiara, B.; Kuroda, S.; Kasner, S.E.; Putaala, J. Nontraumatic intracerebral haemorrhage in young adults. Nat. Rev. Neurol. 2018, 14, 237–250. [Google Scholar] [CrossRef] [PubMed]
  42. Chebib, F.T.; Perrone, R.D.; Chapman, A.B.; Dahl, N.K.; Harris, P.C.; Mrug, M.; Mustafa, R.A.; Rastogi, A.; Watnick, T.; Yu, A.S.L.; et al. A practical guide for treatment of rapidly progressive adpkd with tolvaptan. J. Am. Soc. Nephrol. 2018, 29, 2458–2470. [Google Scholar] [CrossRef] [PubMed]
  43. Chebib, F.T.; Torres, V.E. Recent advances in the management of autosomal dominant polycystic kidney disease. Clin. J. Am. Soc. Nephrol. 2018. [Google Scholar] [CrossRef] [PubMed]
Table
Table 1. Patient and hospital characteristics.
Table 1. Patient and hospital characteristics.
Patient CharacteristicsNon-ADPKD (n = 803)ADPKD (n = 30)p-Value
Mean age (years)53.458.9<0.01
Female gender (%)491 (61.2%)18 (59.1%)0.7
Ethnicity
Caucasian522 (65%)21 (70%)
African American112 (14%)3 (10%)0.02
Hispanic145 (18%)5 (18%)
Other24 (3%)1 (2%)
Weekend admission193 (24%)5 (18%)0.17
Income in zip code
$1–37,999217 (27%)6 (21%)
$38,000–47,999208 (26%)8 (28%)0.36
$48,000–63,999193 (24%)7 (22%)
>$64,000185 (23%)9 (29%)
Insurance
Medicare313 (39%)9 (29%)
Medicaid104 (13%)4 (13%)0.28
Private321 (40%)14 (48%)
Self-Pay64 (8%)3 (10%)
Charlson score
00 (0%)0 (0%)
1–2586 (73%)13 (42%)<0.01
>3214 (27%)17 (58%)
Hospital Region
Northeast145 (18%)6 (19%)
Midwest177 (22%)7 (23%)0.15
South297 (37%)8 (25%)
West185 (23%)10 (33%)
Urban Location779 (97%)29 (98%)0.39
Hospital Number of Beds
Small48 (6%)2 (6%)
Medium145 (18%)4 (14%)0.64
Large610 (76%)24 (80%)
Hospital Teaching Status602 (75%)26 (88%)<0.01
ADPKD, adult polycystic kidney disease.
Table
Table 2. Outcomes and procedures of ADPKD and non-ADPKD patients with SAH.
Table 2. Outcomes and procedures of ADPKD and non-ADPKD patients with SAH.
OutcomeAdjusted OR95% CIp-Value
Mortality0.87(0.12–6.23)0.89
ProcedureAdjusted OR95% CIp-Value
Aneurysm clipping2.020.28–14.810.49
Table
Table 3. Hospital length of stay and expenditure differences between ADPKD and non-ADPKD patients with SAH.
Table 3. Hospital length of stay and expenditure differences between ADPKD and non-ADPKD patients with SAH.
Additional ExpendituresMean Difference95% CIp-Value
Hospital length of stay (days)−3.0−10.1–4.10.41
Total hospitalization cost−$1086−$22,548–$20,3760.92
Total hospitalization charge−$14,944−$73,293–$43,4040.62

Share and Cite

MDPI and ACS Style

Cheungpasitporn, W.; Thongprayoon, C.; Ungprasert, P.; Wijarnpreecha, K.; Kaewput, W.; Leeaphorn, N.; Bathini, T.; Chebib, F.T.; Kröner, P.T. Subarachnoid Hemorrhage in Hospitalized Renal Transplant Recipients with Autosomal Dominant Polycystic Kidney Disease: A Nationwide Analysis. J. Clin. Med. 2019, 8, 524. https://doi.org/10.3390/jcm8040524

AMA Style

Cheungpasitporn W, Thongprayoon C, Ungprasert P, Wijarnpreecha K, Kaewput W, Leeaphorn N, Bathini T, Chebib FT, Kröner PT. Subarachnoid Hemorrhage in Hospitalized Renal Transplant Recipients with Autosomal Dominant Polycystic Kidney Disease: A Nationwide Analysis. Journal of Clinical Medicine. 2019; 8(4):524. https://doi.org/10.3390/jcm8040524

Chicago/Turabian Style

Cheungpasitporn, Wisit, Charat Thongprayoon, Patompong Ungprasert, Karn Wijarnpreecha, Wisit Kaewput, Napat Leeaphorn, Tarun Bathini, Fouad T. Chebib, and Paul T. Kröner. 2019. "Subarachnoid Hemorrhage in Hospitalized Renal Transplant Recipients with Autosomal Dominant Polycystic Kidney Disease: A Nationwide Analysis" Journal of Clinical Medicine 8, no. 4: 524. https://doi.org/10.3390/jcm8040524

APA Style

Cheungpasitporn, W., Thongprayoon, C., Ungprasert, P., Wijarnpreecha, K., Kaewput, W., Leeaphorn, N., Bathini, T., Chebib, F. T., & Kröner, P. T. (2019). Subarachnoid Hemorrhage in Hospitalized Renal Transplant Recipients with Autosomal Dominant Polycystic Kidney Disease: A Nationwide Analysis. Journal of Clinical Medicine, 8(4), 524. https://doi.org/10.3390/jcm8040524

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop