| Literature DB >> 35154698 |
Lubna M Vohra1, Dua Jabeen2, Nargis Khan3, Azmeena Nizar3, Anum Jamil3, Tariq Siddiqui4.
Abstract
BACKGROUND: The emergence of coronavirus disease 2019 (COVID-19) pandemic has crippled the healthcare systems all over the world. Cancer treatment is indispensable and disruption in its provision can lead to unanticipated consequences. No local data exists that has quantified the impact of COVID-19 pandemic on breast cancer surgery in a lower middle-income country (LMIC), therefore, the present retrospective comparative cohort study is directed to determine the trends in breast surgery operative volumes and its outcomes at our institution in Pakistan.Entities:
Keywords: Breast cancer; COVID-19; Pandemic; Patients; Surgery
Year: 2022 PMID: 35154698 PMCID: PMC8816794 DOI: 10.1016/j.amsu.2022.103342
Source DB: PubMed Journal: Ann Med Surg (Lond) ISSN: 2049-0801
Fig. 1COVID testing algorithm for surgery patients.
Fig. 2Operative volume trend during COVID-19 pandemic.
Demographic and clinicopathological data of breast cancer patients.
| Variable | Total n = 380 | Group A (01/3/2019–14/3/2020) n = 231 (60.79%) | Group B (15/3/2020–31/3/2021) n = 149 (39.21%) | p-value |
|---|---|---|---|---|
| Age in years | 380 | 51 (IQR, 22–78 years) | 51 (IQR, 27–76 years) | 0.885 |
| Comorbidities | 380 | <0.001 | ||
| Diabetes | 39 | 33 (14.3%) | 6 (4.0%) | |
| Hypertension | 110 | 52 (22.5%) | 58 (38.9%) | |
| Valvular Heart Disease | 01 | 01 (0.4%) | 0 (0%) | |
| None | 230 | 145 (62.8%) | 85 (57.1%) | |
| Tumour Pathology | 380 | <0.001 | ||
| Invasive Ductal Carcinoma | 301 | 185 (80.1%) | 116 (77.9%) | |
| Invasive Lobular Carcinoma | 24 | 14 (6.1%) | 10 (6.7%) | |
| Ductal Carcinoma in Situ | 22 | 16 (6.9%) | 6 (4.0%) | |
| Metaplastic Carcinoma | 13 | 8 (3.5%) | 5 (3.4%) | |
| Papillary Carcinoma | 12 | 6 (2.6%) | 6 (4.0%) | |
| Others | 8 | 2 (0.8%) | 6 (4.0%) | |
| Tumour Grade | 380 | <0.004 | ||
| Grade 1 | 26 | 11 (4.7%) | 15 (10.1%) | |
| Grade 2 | 200 | 124 (53.8%) | 76 (51.0%) | |
| Grade 3 | 154 | 96 (41.5%) | 58 (38.9%) | |
| Molecular Subtype | 370 (missing n = 10) | <0.002 | ||
| Luminal Type | 247 | 143 (61.9%) | 104 (74.8%) | |
| Triple Negative | 76 | 50 (21.64%) | 26 (18.7%) | |
| Her 2 enriched | 47 | 38 (16.45%) | 9 (6.5%) | |
| Tumour Stage (Pathological) | 380 | 0.023 | ||
| Stage 0 | 63 | 36 (15.6%) | 27 (18.1%) | |
| Stage I | 77 | 45 (19.5%) | 32 (21.5%) | |
| Stage II | 177 | 112 (48.5%) | 65 (43.6%) | |
| Stage III | 63 | 38 (16.4%) | 25 (16.8%) | |
| Neoadjuvant Chemotherapy | 380 | 0.032 | ||
| Yes | 188 | 119 (51.5%) | 69 (46.3%) | |
| No | 192 | 112 (48.5%) | 80 (53.7%) |
Surgical and management outcomes of breast cancer patients.
| Variable | Total n = 380 | Group A (01/3/2019–14/3/2020) n = 231 (60.79%) | Group B (15/3/2020–31/3/2021) n = 149 (39.21%) | p-value |
|---|---|---|---|---|
| Waiting time for surgery | 380 | 4.4 (IQR, 4.0–4.5 days) | 4.4 (IQR, 4.0–4.5 days) | 0.487 |
| Pre-operative COVID-19 test Result (n = 149) | – | – | Positive | – |
| Surgical Intervention | 380 | <0.013 | ||
| BCS | 122 | 77 (33.3%) | 45 (30.2%) | |
| Mastectomy | 258 | 154 (66.7%) | 104 (69.8%) | |
| Reconstruction | 22 | 18 (7.8%) | 4 (2.7%) | |
| SLNB | 265 | 157 (67.9%) | 108 (72.5%) | |
| Post-operative Hospital Stay | 380 | 1.4 (IQR, 1.0–1.5 days) | Less than one day | <0.001 |
| Post-operative complications | 380 | 4.0 (IQR, 4.0–5.0) | 4.0 (IQR, 3.0–4.0) | <0.001 |
| Waiting time for postoperative oncological consultation | 380 | 2.0 (IQR, 2.0–3.0 days) | 2.0 (IQR, 2.0–3.0 days) | <0.001 |
| Waiting time for chemotherapy | 380 | 7.0 (IQR, 7.0–8.0 days) | 7.0 (IQR, 7.0–8.0 days) | 0.484 |
| Waiting time for radiotherapy | 380 | 7.0 (IQR, 7.0–8.0 days) | 7.0 (IQR, 7.0–8.0 days) | 0.484 |