| Literature DB >> 36230707 |
Muni Rubens1, Anshul Saxena2,3, Venkataraghavan Ramamoorthy2, Md Ashfaq Ahmed2, Zhenwei Zhang2, Peter McGranaghan1,4, Emir Veledar2,3, Michael McDermott3,5.
Abstract
PURPOSE: To assess the effects of COVID-19 on hospitalizations for intracranial meningioma resection using a large database.Entities:
Keywords: coronavirus; hospitalization; intracranial meningioma resection; morbidity; mortality
Year: 2022 PMID: 36230707 PMCID: PMC9563583 DOI: 10.3390/cancers14194785
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.575
Demographic and clinical characteristics of hospitalizations for intracranial meningioma resection during 2019 and 2020.
| Characteristic | 2019 | 2020 | |
|---|---|---|---|
| Age, n (%) | 0.858 | ||
| 18–44 years | 139 (15.1%) | 124 (15.7%) | |
| 45–64 years | 416 (45.2%) | 346 (43.9%) | |
| ≥65 years | 366 (39.7%) | 318 (40.4%) | |
| Sex, n (%) | 0.750 | ||
| Male | 274 (29.8%) | 240 (30.5%) | |
| Female | 647 (70.2%) | 548 (69.5%) | |
| Race/ethnicity, n (%) | 0.216 | ||
| White | 459 (51.0%) | 372 (47.6%) | |
| Black | 60 (6.7%) | 42 (5.4%) | |
| Hispanic | 203 (22.6%) | 187 (23.9%) | |
| Asian or Pacific Islander and Native American | 127 (14.1%) | 120 (15.3%) | |
| Other | 51 (5.7%) | 61 (7.8%) | |
| Insurance status, n (%) | 0.427 | ||
| Medicare | 354 (38.4%) | 301 (38.2%) | |
| Medicaid | 141 (15.3%) | 136 (17.3%) | |
| Private insurance | 388 (42.1%) | 327 (41.6%) | |
| Other | 38 (4.1%) | 23 (2.9%) | |
| Clinical risk profile, n (%) | |||
| Hypertension | 472 (51.2%) | 405 (51.4%) | 0.951 |
| Diabetes mellitus | 92 (10.0%) | 79 (10.0%) | 0.980 |
| Obesity | 181 (19.7%) | 153 (19.4%) | 0.902 |
| Coagulation disorder | 50 (5.4%) | 41 (5.2%) | 0.835 |
| Peripheral vascular disease | 47 (5.1%) | 43 (5.5%) | 0.744 |
| Liver disease | 17 (1.8%) | 26 (3.3%) | 0.055 |
| Chronic renal failure | 53 (5.8%) | 51 (6.5%) | 0.536 |
| Alcohol abuse | 13 (1.4%) | 11 (1.3%) | 0.798 |
| Drug abuse | 27 (2.9%) | 16 (2.0%) | 0.235 |
| Elixhauser comorbidity index, n (%) | 0.482 | ||
| 0 | 197 (21.4%) | 169 (21.4%) | |
| 1 or 2 | 426 (46.3%) | 344 (43.7%) | |
| ≥3 | 298 (32.4%) | 275 (34.9%) |
Clinical outcomes of hospitalizations for intracranial meningioma resection during 2019 and 2020.
| Characteristic | 2019 | 2020 | |
|---|---|---|---|
| Clavien–Dindo grade IV complications | |||
| Severe sepsis or septic shock | 13 (1.4%) | 13 (1.6%) | 0.688 |
| Acute renal failure requiring dialysis | NR | NR | --- |
| Pulmonary embolism | NR | NR | --- |
| Acute myocardial infarction or cardiac arrest requiring cardiopulmonary resuscitation | NR | NR | --- |
| Prolonged requirement of mechanical ventilation | 30 (3.3%) | 34 (4.3%) | 0.251 |
| Unplanned intubation/reintubation | NR | NR | --- |
| Any grade IV complication | 41 (4.5%) | 42 (5.3%) | 0.399 |
| In-hospital mortality | NR | 12 (1.5%) | --- |
| Prolonged length of stay, n (%) | 249 (27.0%) | 220 (27.9%) | 0.683 |
Note: NR is not reported to comply with Healthcare Cost and Utilization Project data use agreement guideline of not to report tabulated data in a cell size ≤ 10 to protect individual identification.
Figure 1Trends in hospitalizations for intracranial meningioma resection during 2019 and 2020 (A) and COVID-19 hospitalizations during 2020 (B).
Factors associated with Clavien–Dindo grade IV complications and in-hospital mortality.
| Characteristic | Odds Ratio (95% CI) |
|---|---|
| Year | |
| 2019 | Reference |
| 2020 | 1.23 (0.78–1.94) |
| Age | |
| 18–44 years | Reference |
| 45–64 years | 1.61 (0.73–3.54) |
| ≥65 years | 1.61 (0.58–4.51) |
| Sex | |
| Male | Reference |
| Female | 0.79 (0.48–1.28) |
| Race | |
| White | Reference |
| Black | 3.56 (1.65–7.65) |
| Hispanic | 1.57 (0.84–2.95) |
| Asian or Pacific Islander and Native American | 1.92 (0.99–3.74) |
| Other | 2.06 (0.90–4.72) |
| Insurance status | |
| Medicare | Reference |
| Medicaid | 1.51 (0.64–3.59) |
| Private insurance | 0.77 (0.34–1.76) |
| Other | 1.49 (0.45–4.93) |
| Hypertension | 0.81 (0.48–1.37) |
| Diabetes mellitus | 0.56 (0.21–1.48) |
| Obesity | 1.03 (0.57–1.86) |
| Coagulation disorder | 5.22 (2.82–9.67) |
| Peripheral vascular disease | 0.85 (0.33–2.15) |
| Liver disease | 1.39 (0.43–4.50) |
| Chronic renal failure | 5.52 (2.84–10.76) |
| Alcohol abuse | 1.11 (0.22–5.53) |
| Drug abuse | 2.81 (0.99–7.96) |
Factors associated with prolonged length of stay.
| Characteristic | Odds Ratio (95% CI) |
|---|---|
| Year | |
| 2019 | Reference |
| 2020 | 1.05 (0.84–1.32) |
| Age | |
| 18–44 years | Reference |
| 45–64 years | 1.25 (0.87–1.80) |
| ≥65 years | 1.29 (0.79–2.11) |
| Sex | |
| Male | Reference |
| Female | 0.80 (0.62–1.02) |
| Race | |
| White | Reference |
| Black | 1.21 (0.78–1.88) |
| Hispanic | 1.62 (0.42–1.93) |
| Asian or Pacific Islander and Native American | 1.03 (0.54–1.98) |
| Other | 1.19 (0.89–1.76) |
| Insurance status | |
| Medicare | Reference |
| Medicaid | 1.21 (0.78–1.88) |
| Private insurance | 0.62 (0.42–0.93) |
| Other | 1.03 (0.54–1.98) |
| Hypertension | 1.59 (1.23–2.06) |
| Diabetes mellitus | 0.65 (0.43–0.97) |
| Obesity | 0.95 (0.71–1.27) |
| Coagulation disorder | 4.24 (2.67–6.73) |
| Peripheral vascular disease | 0.81 (0.50–1.33) |
| Liver disease | 1.29 (0.64–2.60) |
| Chronic renal failure | 1.85 (1.19–2.88) |
| Alcohol abuse | 1.73 (0.71–4.24) |
| Drug abuse | 1.03 (0.56–1.88) |