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. 2020 Jul 31;107(10):e419–e421. doi: 10.1002/bjs.11861

Time to surgery in patients with breast cancer during the COVID-19 pandemic

Jiqiao Yang 1, Zhoukai Fu 1, Liang Du 2, Xiujing He 3, Xiusong Li 4, Jie Chen 1,
PMCID: PMC7929339  PMID: 32735686

Editor

The management of cancer surgeries is challenged during the COVID-19 pandemic1–3, and the patients may have to face a treatment delay due to hospital space, traffic barriers by quarantine measures, the desire to social distance, and additional COVID-19 screening before admission. West China Hospital the gaps in cancer care and ensure the homogenization of the management that patients received in local hospitals, remote consultation between large medical centres/specialised hospitals was encouraged.

Table 1.

Demographic, pathologic, and clinical characteristics of patients by TTS intervals

    Time-to-surgery  
Characteristics Overall (n = 201) ≤14 days (n = 71) 15-42 days (n = 86) ≥ 43 days (n = 44) p-value
Age at diagnosis (mean ± SD) 48·89 ± 9·86 49·17 ± 8·16 48·4 ± 10·54 49·39 ± 11·13 0·827
Tumor size (mm, mean ± SD) 25·53 ± 15·24 26·87 ± 14·06 24·47 ± 16·59 25·16 ± 15·24 0·635
Setting         0·812
  City of the hospital 97 (48·3%) 37 (52·1%) 42 (48·8%) 18 (40·9%)  
  Other cities in the same province 87 (43·3%) 29 (40·8%) 36 (41·9%) 22 (50·0%)  
  Other provinces 17 (8·5%) 5 (7·0%) 8 (9·3%) 4 (9·1%)  
Insurance type         0·680
  Private 30 (14·9%) 13 (18·3%) 13 (15·1%) 4 (9·1%)  
  Governmental 152 (75·6%) 52 (73·2%) 65 (75·6%) 35 (79·5%)  
  Uninsured 16 (8·0%) 4 (5·6%) 7 (8·1%) 5 (11·4%)  
  Others 3 (1·5%) 2 (2·8%) 1 (1·2%) 0 (0·0%)  
Degree level         0·505
  Junior high school or lower 89 (44·3%) 28 (39·4%) 39 (45·3%) 22 (50·0%)  
  High school or college 77 (38·3%) 28 (39·4%) 31 (36·0%) 18 (40·9%)  
  Bachelor degree or above 35 (17·4%) 15 (21·1%) 16 (18·6%) 4 (9·1%)  
Marital Status         0·148
  Married 187 (93·0%) 69 (97·2%) 77 (89·5%) 41 (93·2%)  
  Unmarrieda 14 (7·0%) 2 (2·8%) 9 (10·5%) 3 (6·8%)  
Method of detection         0·281
  Symptom-detected 178 (88·6%) 64 (90·1%) 78 (90·7%) 36 (81·8%)  
  Screen-detected 23 (11·4%) 7 (9·9%) 8 (9·3%) 8 (18·2%)  
Menstrual status         0·490
  Premenopausal 102 (50·7%) 32 (45·1%) 46 (53·5%) 24 (54·5%)  
  Menopausal 99 (49·3%) 39 (54·9%) 40 (46·5%) 20 (45·5%)  
Neoadjuvant therapy         <0·001
  Yes 41 (20·4%) 3 (4·2%) 23 (26·7%) 15 (34·1%)  
  No 160 (79·6%) 68 (95·8%) 63 (73·3%) 29 (65·9%)  
Excision biopsy before surgery         0·001
  Yes 16 (8·0%) 0 (0·0%) 11 (12·8%) 5 (11·4%)  
  No 185 (92·0%) 71 (100·0%) 75 (87·2%) 39 (88·6%)  
Type of surgery         0·072
  Mastectomy 168 (83·6%) 60 (84·5%) 76 (88·4%) 32 (72·7%)  
  Lumpectomy 33 (16·4%) 11 (15·5%) 10 (11·6%) 12 (27·3%)  
Reconstruction after mastectomy         0·822
  Yes 11 (5·5%) 3 (4·2%) 5 (5·8%) 3 (6·8%)  
  No 190 (94·5%) 68 (95·8%) 81 (94·2%) 41 (93·2%)  
Histological diagnosis         0·067
  Ductal 158 (78·6%) 62 (87·3%) 65 (75·6%) 31 (70·5%)  
  Others/multiple 43 (21·4%) 9 (12·7%) 21 (24·4%) 13 (29·5%)  
Histological grade         0·039
  1 5 (2·5%) 2 (2·8%) 3 (3·5%) 0 (0·0%)  
  2 86 (42·8%) 36 (50·7%) 34 (39·5%) 16 (36·4%)  
  3 78 (38·8%) 29 (40·8%) 32 (37·2%) 17 (38·6%)  
  Unknown 32 (15·9%) 4 (5·6%) 17 (19·8%) 11 (25·0%)  
AJCC stage         0·997
  I 61 (30·3%) 21 (29·6%) 26 (30·2%) 14 (31·8%)  
  II 95 (47·3%) 35 (49·3%) 39 (45·3%) 21 (47·7%)  
  III 40 (19·9%) 13 (18·3%) 19 (22·1%) 8 (18·2%)  
  Unknown/others 5 (2·5%) 2 (2·8%) 2 (2·3%) 1(2·3%)  
Axillary involvement         0·711
  Yes 80 (39·8%) 27 (38·0%) 37 (43·0%) 16 (36·4%)  
  No 121 (60·2%) 44 (62·0%) 49 (57·0%) 28 (63·6%)  
Hormone receptor status         0·415
  ER+/PR+ 122 (60·7%) 45 (63·4%) 50 (58·1%) 27 (61·4%)  
  ER+/PR− 10 (5·0%) 3 (4·2%) 4 (4·7%) 3 (6·8%)  
  ER−/PR+ 11 (5·5%) 7 (9·9%) 3 (3·5%) 1 (2·3%)  
  ER−/PR− 58 (28·9%) 16 (22·5%) 29 (33·7%) 13 (29·5%)  
HER-2 gene amplification         0·541
  Positive 48 (23·9%) 21 (29·6%) 18 (20·9%) 9 (20·5%)  
  Negative 97 (48·3%) 29 (40·8%) 46 (53·5%) 22 (50·0%)  
  Uncertainb 56 (27·9%) 21 (29·6%) 22 (25·6%) 13 (29·5%)  
Ki-67 expression         0·247
  ≤ 20% 64 (31·8%) 19 (26·8%) 27 (31·4%) 18 (40·9%)  
  >20% 135 (67·2%) 51 (71·8%) 59 (68·6%) 25 (56·8%)  
  Unknown 2 (1·0%) 1 (1·4%) 0 (0·0%) 1 (2·3%)  
Lymphovascular invasion         0·052
  Yes 38 (18·9%) 14 (19·7%) 21 (24·4%) 3 (6·8%)  
  No 163 (81·1%) 57 (80·3%) 65 (75·6%) 41 (93·2%)  
a

single/divorced/widowed/separated.

b

HER-2 status detected 2+ by immunohistochemistry but results of fluorescence in situ hybridization was not obtained.

Abbreviations: SD, standard deviation; AJCC, American Joint Committee on Cancer; ER, estrogen receptor; PR, progesterone receptor; HER-2, human epithelial growth factor receptor 2.

The subjective feeling of depression and anxiety were routinely measured with the Self-Rating Depression Scale (SDS) and the Self-Rating Anxiety Scale (SAS), respectively. A total of 11·5 per cent (23/200) patients on admission and 22·9 per cent (46/200) on discharge reported mild depression. The SDS and SAS scores were generally increased through hospitalisation, except the depression status in patients with TTS within two weeks (Table 2). Longer TTS did not deteriorate mental status, presumably because major reason was the impact of the breast cancer and background of the pandemic.

Table 2.

Change in SDS and SAS scores through hospitalization by TTS intervals

  SDS (n = 200) SAS (n = 199)
TTS Admission Discharge p-value Admission Discharge p-value
≤14 days 34·41 ± 7·62 35·79 ± 8·54 0·124 30·72 ± 5·30 33·96 ± 6·57 <0·001
15-42 days 34·26 ± 7·10 37·99 ± 8·08 <0·001 32·41 ± 5·19 35·19 ± 5·88 <0·001
≥ 43 days 34·31 ± 8·13 38·36 ± 9·78 0·009 30·70 ± 5·04 34·27 ± 6·30 <0·001
Overall 34·35 ± 7·48 37·30 ± 8·67 <0·001 31·44 ± 5·24 34·56 ± 6·21 <0·001

Abbreviations: TTS, time-to-surgery; SDS, Self-Rating Depression Scale; SAS, Self-Rating Anxiety Scale.

Reference

  • 1. Søreide K, Hallet J, Matthews JB, Schnitzbauer AA, Line PD, Lai PBSet al. Immediate and long-term impact of the COVID-19 pandemic on delivery of surgical services. Br J Surg 2020; 10.1002/bjs.11670 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Articles from The British Journal of Surgery are provided here courtesy of Oxford University Press

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