Table 1

Baseline characteristics of the study population

Overall (%), 5175No complication (%) (n = 5075)Any complication (%) (n = 100)P-value
Watchman device implantations
Age (years)0.117
 18–490.770.790.00
 50–647.547.595.00
 65–7433.0433.225.00
 ≥7558.6558.4270.00
Gender0.228
 Male59.1359.0165.00
 Female40.8740.9935.00
Race0.063
 White83.0982.9690.00
 Non-White16.9117.0410.00
Comorbiditiesa
 Obesity11.511.5310.000.635
 Hypertension83.3883.6570.000.000
 Diabetes30.8230.9425.000.203
 Heart failure30.8230.8430.000.850
 Coronary artery disease48.2148.2845.000.516
 COPD15.4615.4715.000.898
 CKD stage 3 or more19.5219.6115.000.250
 Prior CABG17.8718.0310.000.038
 Hyperthyroidism0.190.20.000.657
 Alcohol disorder1.060.995.000.000
 Mitral valve stenosis0.190.20.000.657
 Prior stroke/TIA27.9228.2810.00<0.001
 Peripheral vascular disease8.218.1810.000.511
 Anaemia15.3615.0730.00<0.001
Median household income category for patient's zip codeb0.023
 1. 0–25th percentile17.3917.5410.00
 2. 26–50th percentile23.0922.8635.00
 3. 51–75th percentile27.5427.5925.00
 4. 76–100th percentile30.3430.3430.00
Primary payerc0.314
 Federal insurance92.3592.395.00
 Private insurance7.657.75.00
Hospital characteristics
 Hospital region0.015
  Northeast16.7116.5525.00
  Midwest19.920.110.00
  South34.7834.6840.00
  West28.628.6725.00
 Hospital bed sized0.306
  Small/medium30.3430.2535.00
  Large69.6669.7565.00
Hospital teaching statuse0.034
 Non-teaching11.7911.925.00
 Teaching88.2188.0895.00
Hospital location0.373
 Rural0.770.790.00
 Urban99.2399.21100.00
Admission type0.306
 Non-elective11.7411.6715.00
 Elective88.2688.3385.00
Disposition<0.001
 Home9797.5470.00
 Facility/others2.612.360.15
In-hospital mortality0.2900.15
Length of stay (mean ± std err) (days)1.36 ± 0.051.34 ± 0.043.00 ± 0.69<0.001
Cost of care (mean ± std err) (USD)25724 ± 35825540 ± 35035523 ±51640.001
Overall (%), 5175No complication (%) (n = 5075)Any complication (%) (n = 100)P-value
Watchman device implantations
Age (years)0.117
 18–490.770.790.00
 50–647.547.595.00
 65–7433.0433.225.00
 ≥7558.6558.4270.00
Gender0.228
 Male59.1359.0165.00
 Female40.8740.9935.00
Race0.063
 White83.0982.9690.00
 Non-White16.9117.0410.00
Comorbiditiesa
 Obesity11.511.5310.000.635
 Hypertension83.3883.6570.000.000
 Diabetes30.8230.9425.000.203
 Heart failure30.8230.8430.000.850
 Coronary artery disease48.2148.2845.000.516
 COPD15.4615.4715.000.898
 CKD stage 3 or more19.5219.6115.000.250
 Prior CABG17.8718.0310.000.038
 Hyperthyroidism0.190.20.000.657
 Alcohol disorder1.060.995.000.000
 Mitral valve stenosis0.190.20.000.657
 Prior stroke/TIA27.9228.2810.00<0.001
 Peripheral vascular disease8.218.1810.000.511
 Anaemia15.3615.0730.00<0.001
Median household income category for patient's zip codeb0.023
 1. 0–25th percentile17.3917.5410.00
 2. 26–50th percentile23.0922.8635.00
 3. 51–75th percentile27.5427.5925.00
 4. 76–100th percentile30.3430.3430.00
Primary payerc0.314
 Federal insurance92.3592.395.00
 Private insurance7.657.75.00
Hospital characteristics
 Hospital region0.015
  Northeast16.7116.5525.00
  Midwest19.920.110.00
  South34.7834.6840.00
  West28.628.6725.00
 Hospital bed sized0.306
  Small/medium30.3430.2535.00
  Large69.6669.7565.00
Hospital teaching statuse0.034
 Non-teaching11.7911.925.00
 Teaching88.2188.0895.00
Hospital location0.373
 Rural0.770.790.00
 Urban99.2399.21100.00
Admission type0.306
 Non-elective11.7411.6715.00
 Elective88.2688.3385.00
Disposition<0.001
 Home9797.5470.00
 Facility/others2.612.360.15
In-hospital mortality0.2900.15
Length of stay (mean ± std err) (days)1.36 ± 0.051.34 ± 0.043.00 ± 0.69<0.001
Cost of care (mean ± std err) (USD)25724 ± 35825540 ± 35035523 ±51640.001

CABG, coronary artery bypass graft; COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; TIA, transient ischaemic attack.

a

All comorbidities were coded using appropriate ICD-10 codes in secondary diagnosis field as per Supplementary material online, Table S1.

b

A quartile classification of the estimated median household income of residents in the patients ZIP Code, derived from ZIP Code-demographic data obtained from Claritas. The quartiles are identified by values of 1–4, indicating the poorest to wealthiest populations. Because these estimates are updated annually, the value ranges vary by year https://www.hcup-us.ahrq.gov/db/vars/zipinc_qrtl/nisnote.jsp.

c

If primary payer were either Medicare or Medicaid, it was defined as federal insurance, all other categories were defined as private insurance https://www.hcup-us.ahrq.gov/db/vars/pay1/nisnote.jsp.

d

The bed size cut-off points divided into small, medium, and large have been done so that approximately one-third of the hospitals in a given region, location, and teaching status combination would fall within each bed size category https://www.hcup-us.ahrq.gov/db/vars/hosp_bedsize/nisnote.jsp.

e

A hospital is considered to be a teaching hospital if it has an AMA-approved residency program, is a member of the Council of Teaching Hospitals (COTH) or has a ratio of full-time equivalent interns and residents to beds of 0.25 or higher https://www.hcup-us.ahrq.gov/db/vars/hosp_locteach/nisnote.jsp.

Table 1

Baseline characteristics of the study population

Overall (%), 5175No complication (%) (n = 5075)Any complication (%) (n = 100)P-value
Watchman device implantations
Age (years)0.117
 18–490.770.790.00
 50–647.547.595.00
 65–7433.0433.225.00
 ≥7558.6558.4270.00
Gender0.228
 Male59.1359.0165.00
 Female40.8740.9935.00
Race0.063
 White83.0982.9690.00
 Non-White16.9117.0410.00
Comorbiditiesa
 Obesity11.511.5310.000.635
 Hypertension83.3883.6570.000.000
 Diabetes30.8230.9425.000.203
 Heart failure30.8230.8430.000.850
 Coronary artery disease48.2148.2845.000.516
 COPD15.4615.4715.000.898
 CKD stage 3 or more19.5219.6115.000.250
 Prior CABG17.8718.0310.000.038
 Hyperthyroidism0.190.20.000.657
 Alcohol disorder1.060.995.000.000
 Mitral valve stenosis0.190.20.000.657
 Prior stroke/TIA27.9228.2810.00<0.001
 Peripheral vascular disease8.218.1810.000.511
 Anaemia15.3615.0730.00<0.001
Median household income category for patient's zip codeb0.023
 1. 0–25th percentile17.3917.5410.00
 2. 26–50th percentile23.0922.8635.00
 3. 51–75th percentile27.5427.5925.00
 4. 76–100th percentile30.3430.3430.00
Primary payerc0.314
 Federal insurance92.3592.395.00
 Private insurance7.657.75.00
Hospital characteristics
 Hospital region0.015
  Northeast16.7116.5525.00
  Midwest19.920.110.00
  South34.7834.6840.00
  West28.628.6725.00
 Hospital bed sized0.306
  Small/medium30.3430.2535.00
  Large69.6669.7565.00
Hospital teaching statuse0.034
 Non-teaching11.7911.925.00
 Teaching88.2188.0895.00
Hospital location0.373
 Rural0.770.790.00
 Urban99.2399.21100.00
Admission type0.306
 Non-elective11.7411.6715.00
 Elective88.2688.3385.00
Disposition<0.001
 Home9797.5470.00
 Facility/others2.612.360.15
In-hospital mortality0.2900.15
Length of stay (mean ± std err) (days)1.36 ± 0.051.34 ± 0.043.00 ± 0.69<0.001
Cost of care (mean ± std err) (USD)25724 ± 35825540 ± 35035523 ±51640.001
Overall (%), 5175No complication (%) (n = 5075)Any complication (%) (n = 100)P-value
Watchman device implantations
Age (years)0.117
 18–490.770.790.00
 50–647.547.595.00
 65–7433.0433.225.00
 ≥7558.6558.4270.00
Gender0.228
 Male59.1359.0165.00
 Female40.8740.9935.00
Race0.063
 White83.0982.9690.00
 Non-White16.9117.0410.00
Comorbiditiesa
 Obesity11.511.5310.000.635
 Hypertension83.3883.6570.000.000
 Diabetes30.8230.9425.000.203
 Heart failure30.8230.8430.000.850
 Coronary artery disease48.2148.2845.000.516
 COPD15.4615.4715.000.898
 CKD stage 3 or more19.5219.6115.000.250
 Prior CABG17.8718.0310.000.038
 Hyperthyroidism0.190.20.000.657
 Alcohol disorder1.060.995.000.000
 Mitral valve stenosis0.190.20.000.657
 Prior stroke/TIA27.9228.2810.00<0.001
 Peripheral vascular disease8.218.1810.000.511
 Anaemia15.3615.0730.00<0.001
Median household income category for patient's zip codeb0.023
 1. 0–25th percentile17.3917.5410.00
 2. 26–50th percentile23.0922.8635.00
 3. 51–75th percentile27.5427.5925.00
 4. 76–100th percentile30.3430.3430.00
Primary payerc0.314
 Federal insurance92.3592.395.00
 Private insurance7.657.75.00
Hospital characteristics
 Hospital region0.015
  Northeast16.7116.5525.00
  Midwest19.920.110.00
  South34.7834.6840.00
  West28.628.6725.00
 Hospital bed sized0.306
  Small/medium30.3430.2535.00
  Large69.6669.7565.00
Hospital teaching statuse0.034
 Non-teaching11.7911.925.00
 Teaching88.2188.0895.00
Hospital location0.373
 Rural0.770.790.00
 Urban99.2399.21100.00
Admission type0.306
 Non-elective11.7411.6715.00
 Elective88.2688.3385.00
Disposition<0.001
 Home9797.5470.00
 Facility/others2.612.360.15
In-hospital mortality0.2900.15
Length of stay (mean ± std err) (days)1.36 ± 0.051.34 ± 0.043.00 ± 0.69<0.001
Cost of care (mean ± std err) (USD)25724 ± 35825540 ± 35035523 ±51640.001

CABG, coronary artery bypass graft; COPD, chronic obstructive pulmonary disease; CKD, chronic kidney disease; TIA, transient ischaemic attack.

a

All comorbidities were coded using appropriate ICD-10 codes in secondary diagnosis field as per Supplementary material online, Table S1.

b

A quartile classification of the estimated median household income of residents in the patients ZIP Code, derived from ZIP Code-demographic data obtained from Claritas. The quartiles are identified by values of 1–4, indicating the poorest to wealthiest populations. Because these estimates are updated annually, the value ranges vary by year https://www.hcup-us.ahrq.gov/db/vars/zipinc_qrtl/nisnote.jsp.

c

If primary payer were either Medicare or Medicaid, it was defined as federal insurance, all other categories were defined as private insurance https://www.hcup-us.ahrq.gov/db/vars/pay1/nisnote.jsp.

d

The bed size cut-off points divided into small, medium, and large have been done so that approximately one-third of the hospitals in a given region, location, and teaching status combination would fall within each bed size category https://www.hcup-us.ahrq.gov/db/vars/hosp_bedsize/nisnote.jsp.

e

A hospital is considered to be a teaching hospital if it has an AMA-approved residency program, is a member of the Council of Teaching Hospitals (COTH) or has a ratio of full-time equivalent interns and residents to beds of 0.25 or higher https://www.hcup-us.ahrq.gov/db/vars/hosp_locteach/nisnote.jsp.

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