|
1
|
Dacosta Byfield S, Chen D, Yim YM and
Reyes C: Age distribution of patients with advanced non-melanoma
skin cancer in the United States. Arch Dermatol Res. 305:845–850.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Lomas A, Leonardi-Bee J and Bath-Hextall
F: A systematic review of worldwide incidence of non-melanoma skin
cancer. Br J Dermatol. 166:1069–1080. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Hogan DB, MacKnight C and Bergman H:
Steering Committee, Canadian Initiative on Frailty and Aging:
Models, definitions, and criteria of frailty. Aging Clin Exp Res.
15((3 Suppl)): S1–S29. 2003.
|
|
4
|
Morley JE, Malmstrom TK and Miller DK: A
simple frailty questionnaire (FRAIL) predicts outcomes in middle
aged African Americans. J Nutr Health Aging. 16:601–608. 2012.
View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Dasgupta M, Rolfson DB, Stolee P, Borrie
MJ and Speechley M: Frailty is associated with postoperative
complications in older adults with medical problems. Arch Gerontol
Geriatr. 48:78–83. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Chimukangara M, Frelich MJ, Bosler ME,
Rein LE, Szabo A and Gould JC: The impact of frailty on outcomes of
paraesophageal hernia repair. J Surg Res. 202:259–266. 2016.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Makary MA, Segev DL, Pronovost PJ, Syin D,
Bandeen-Roche K, Patel P, Takenaga R, Devgan L, Holzmueller CG,
Tian J and Fried LP: Frailty as a predictor of surgical outcomes in
older patients. J Am Coll Surg. 210:901–908. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Park JS, Bateni SB, Bold RJ, Kirane AR,
Canter DJ and Canter RJ: The modified frailty index to predict
morbidity and mortality for retroperitoneal sarcoma resections. J
Surg Res. 217:191–197. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Lin HS, Watts JN, Peel NM and Hubbard RE:
Frailty and post-operative outcomes in older surgical patients: A
systematic review. BMC Geriatr. 16:1572016. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Velanovich V, Antoine H, Swartz A, Peters
D and Rubinfeld I: Accumulating deficits model of frailty and
postoperative mortality and morbidity: Its application to a
national database. J Surg Res. 183:104–110. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Cherubino M, Scamoni S, Maggiulli F,
Pellegatta I and Valdatta L: Use of human fibrin sealant in large
split thickness skin grafting after massive skin tumour excision.
Minerva Chir. 68:119–121. 2013.PubMed/NCBI
|
|
12
|
Clavien PA, Barkun J, de Oliveira ML,
Vauthey JN, Dindo D, Schulick RD, de Santibañes E, Pekolj J,
Slankamenac K, Bassi C, et al: The Clavien-Dindo classification of
surgical complications: Five-year experience. Ann Surg.
250:187–196. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Dindo D, Demartines N and Clavien PA:
Classification of surgical complications: A new proposal with
evaluation in a cohort of 6336 patients and results of a survey.
Ann Surg. 240:205–213. 2004. View Article : Google Scholar : PubMed/NCBI
|
|
14
|
Whittemore AS: Sample size for logistic
regression with small response probability. J Am Stat Assoc.
76:27–32. 1981. View
Article : Google Scholar
|
|
15
|
Abt NB, Xie Y, Puram SV, Richmon JD and
Varvares MA: Frailty index: Intensive care unit complications in
head and neck oncologic regional and free flap reconstruction. Head
Neck. 39:1578–1585. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Karam J, Tsiouris A, Shepard A, Velanovich
V and Rubinfeld I: Simplified frailty index to predict adverse
outcomes and mortality in vascular surgery patients. Ann Vasc Surg.
27:904–908. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Kolbe N, Bakey S, Louwers L, Blyden D,
Horst M, Falvo A, Patton J and Rubinfeld I: Predictors of Clavien 4
complications and mortality after necrosectomy: Analysis of the
NSQIP database. J Gastrointest Surg. 19:1086–1092. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Kolbe N, Carlin AM, Bakey S, Louwers L,
Horst HM and Rubinfeld I: Assessing risk of critical care
complications and mortality in the elective bariatric surgery
population using a modified frailty index. Obes Surg. 25:1401–1407.
2015. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Melin AA, Schmid KK, Lynch TG, Pipinos II,
Kappes S, Longo GM, Gupta PK and Johanning JM: Preoperative frailty
Risk Analysis Index to stratify patients undergoing carotid
endarterectomy. J Vasc Surg. 61:683–689. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Levy I, Finkelstein M, Bilal KH and Palese
M: Modified frailty index associated with Clavien-Dindo IV
complications in robot-assisted radical prostatectomies: A
retrospective study. Urol Oncol. 35:425–431. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Tsiouris A, Hammoud ZT, Velanovich V,
Hodari A, Borgi J and Rubinfeld I: A modified frailty index to
assess morbidity and mortality after lobectomy. J Surg Res.
183:40–46. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Uppal S, Igwe E, Rice LW, Spencer RJ and
Rose SL: Frailty index predicts severe complications in gynecologic
oncology patients. Gynecol Oncol. 137:98–101. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Abt NB, Richmon JD, Koch WM, Eisele DW and
Agrawal N: Assessment of the predictive value of the modified
frailty index for clavien-dindo grade IV critical care
complications in major head and neck cancer operations. JAMA
Otolaryngol Head Neck Surg. 142:658–664. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Augustin T, Burstein MD, Schneider EB,
Morris-Stiff G, Wey J, Chalikonda S and Walsh RM: Frailty predicts
risk of life-threatening complications and mortality after
pancreatic resections. Surgery. 160:987–996. 2016. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Rolfson DB, Majumdar SR, Tsuyuki RT, Tahir
A and Rockwood K: Validity and reliability of the Edmonton Frail
Scale. Age Ageing. 35:526–529. 2006. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Folstein MF, Folstein SE and McHugh PR:
‘Mini-mental state’. A practical method for grading the cognitive
state of patients for the clinician. J Psychiatr Res. 12:189–198.
1975. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Vellas B, Guigoz Y, Garry PJ, Nourhashemi
F, Bennahum D, Lauque S and Albarede JL: The Mini Nutritional
Assessment (MNA) and its use in grading the nutritional state of
elderly patients. Nutrition. 15:116–122. 1999. View Article : Google Scholar : PubMed/NCBI
|
