Balance check after

## Balance Measures
##                      Type M.0.Adj SD.0.Adj M.1.Adj SD.1.Adj Diff.Adj
## Age               Contin. 69.9754  11.2843 67.6097  14.7135  -0.1834
## Race_Group_White   Binary  0.5764        .  0.4666        .  -0.1098
## Race_Group_Black   Binary  0.2999        .  0.2991        .  -0.0008
## Race_Group_Others  Binary  0.1238        .  0.2343        .   0.1106
## Gender_Male        Binary  0.6094        .  0.4907        .  -0.1186
## HTN_Y              Binary  0.9572        .  1.0000        .   0.0428
## DM_Y               Binary  0.6617        .  0.8126        .   0.1509
## HF_score_Total    Contin. 43.7788   8.7127 44.4343   7.6727   0.0791
## Dialysis_Vintage  Contin.  2.8083   2.2887  2.0400   2.9254  -0.2426
## Access_type_AVF    Binary  0.7665        .  0.5184        .  -0.2480
## Access_type_AVG    Binary  0.0154        .  0.0504        .   0.0350
## Access_type_TDC    Binary  0.2181        .  0.4311        .   0.2131
## Location_HH        Binary  0.2571        .  0.3239        .   0.0669
## EF                Contin. 53.4581  13.1437 44.6712  16.6611  -0.5997
## EF:<NA>            Binary  0.0830        .  0.3740        .   0.2909
## 
## Effective sample sizes
##                 1      2
## Unadjusted 109.   144.  
## Adjusted    96.02 124.02

Table 1

Univariate negative‐binomial regression outcome los

**Univariate negative‐binomial regression for LOS**
Characteristic	N	IRR¹	95% CI¹	p-value
time	721
1		—	—
2		1.20	1.05, 1.37	0.006
Gender	721
Female		—	—
Male		1.40	1.24, 1.59	<0.001
Race_Group	721
White		—	—
Black		0.63	0.55, 0.73	<0.001
Others		0.61	0.52, 0.72	<0.001
DM	721
N		—	—
Y		1.05	0.90, 1.21	0.534
Dialysis_Vintage	721	1.00	0.99, 1.02	0.792
HF_score_Total	721	1.02	1.01, 1.03	<0.001
weight.ATE.trunc	721	1.00	0.95, 1.05	0.896
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

Multivariate negative‐binomial regression los: gender race

glm.nb(
  formula = LOS ~ time + Gender + Race_Group,
  data    = all_bwh,
  weights = weight.ATE.trunc 
) %>%
  tbl_regression(
    exponentiate   = TRUE,
    pvalue_fun     = ~style_pvalue(.x, digits = 3)
  ) %>%
  bold_p() %>%
  bold_labels() %>%
  add_n(location = "level") %>%
  modify_caption("**Multivariable NB regression for LOS**")

**Multivariable NB regression for LOS**
Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	1.28	1.13, 1.46	<0.001
Gender
Female	335	—	—
Male	385	1.26	1.11, 1.43	<0.001
Race_Group
White	365	—	—
Black	215	0.66	0.57, 0.76	<0.001
Others	139	0.63	0.53, 0.75	<0.001
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

Multivariate negative‐binomial regression los ： time+Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

**Multivariable NB regression for LOS**
Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	1.29	1.13, 1.47	<0.001
Gender
Female	335	—	—
Male	385	1.23	1.08, 1.40	0.002
Race_Group
White	365	—	—
Black	215	0.70	0.60, 0.82	<0.001
Others	139	0.63	0.54, 0.75	<0.001
DM
N	175	—	—
Y	546	1.00	0.87, 1.15	0.991
Dialysis_Vintage	721	1.01	0.99, 1.03	0.522
HF_score_Total	721	1.01	1.00, 1.02	0.007
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

90 days poisson regression: time

Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	0.84	0.71, 0.99	0.041
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

90 days poisson regression: time Gender Race_Group

Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	0.83	0.70, 0.98	0.029
Gender
Female	335	—	—
Male	385	0.86	0.72, 1.02	0.080
Race_Group
White	365	—	—
Black	215	1.09	0.90, 1.32	0.382
Others	139	0.96	0.76, 1.21	0.741
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

90 days poisson regression： time+ Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	0.84	0.70, 1.01	0.059
Gender
Female	335	—	—
Male	385	0.86	0.72, 1.02	0.089
Race_Group
White	365	—	—
Black	215	1.09	0.89, 1.33	0.389
Others	139	0.95	0.74, 1.19	0.643
DM
N	175	—	—
Y	546	0.74	0.61, 0.89	0.001
Dialysis_Vintage	721	0.96	0.92, 1.00	0.065
HF_score_Total	721	1.00	0.99, 1.01	0.988
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

180 days poisson regression: time

Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	0.74	0.65, 0.85	<0.001
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

180 days poisson regression： Age Gender Race_Group

Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	0.70	0.61, 0.80	<0.001
Gender
Female	335	—	—
Male	385	0.82	0.72, 0.94	0.005
Race_Group
White	365	—	—
Black	215	1.25	1.07, 1.46	0.004
Others	139	1.34	1.12, 1.60	0.001
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

180 days poisson regression： time+Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

Characteristic	N	IRR¹	95% CI¹	p-value
time
1	265	—	—
2	456	0.71	0.61, 0.81	<0.001
Gender
Female	335	—	—
Male	385	0.81	0.71, 0.93	0.003
Race_Group
White	365	—	—
Black	215	1.27	1.08, 1.48	0.004
Others	139	1.31	1.10, 1.57	0.002
DM
N	175	—	—
Y	546	0.76	0.65, 0.87	<0.001
Dialysis_Vintage	721	0.95	0.92, 0.99	0.011
HF_score_Total	721	1.00	1.0, 1.01	0.458
¹ IRR = Incidence Rate Ratio, CI = Confidence Interval

Univariate coxph decongestion_time_days

Characteristic	N	HR¹	95% CI¹	p-value
time	721
1		—	—
2		0.89	0.70, 1.13	0.344
Gender	721
Female		—	—
Male		0.71	0.55, 0.92	0.010
Race_Group	721
White		—	—
Black		1.54	1.06, 2.24	0.024
Others		1.52	1.09, 2.12	0.014
DM	721
N		—	—
Y		1.08	0.78, 1.51	0.639
Dialysis_Vintage	721	1.00	0.97, 1.03	0.986
HF_score_Total	721	0.98	0.97, 1.00	0.064
weight.ATE.trunc	721	1.00	0.90, 1.11	0.995
¹ HR = Hazard Ratio, CI = Confidence Interval

coxph decongestion_time_days :gender race

Characteristic	HR¹	95% CI¹	p-value
time
1	—	—
2	0.82	0.64, 1.06	0.129
Gender
Female	—	—
Male	0.79	0.59, 1.05	0.104
Race_Group
White	—	—
Black	1.47	1.01, 2.15	0.045
Others	1.46	1.02, 2.09	0.041
¹ HR = Hazard Ratio, CI = Confidence Interval

coxph decongestion_time_days :time+Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

Characteristic	HR¹	95% CI¹	p-value
time
1	—	—
2	0.83	0.64, 1.06	0.140
Gender
Female	—	—
Male	0.81	0.60, 1.09	0.162
Race_Group
White	—	—
Black	1.41	0.98, 2.03	0.067
Others	1.45	1.01, 2.09	0.044
HTN
N	—	—
Y	0.86	0.29, 2.55	0.789
DM
N	—	—
Y	1.12	0.79, 1.58	0.536
CAD
N	—	—
Y	0.94	0.46, 1.94	0.872
Dialysis_Vintage	1.00	0.97, 1.03	0.979
HF_score_Total	0.99	0.97, 1.01	0.332
¹ HR = Hazard Ratio, CI = Confidence Interval

decongestion_time_days,n_90,n_180,los

	1 (N=109)	2 (N=144)	Overall (N=253)
decongestion_time_days
Mean (SD)	5.01 (3.79)	5.82 (6.74)	5.47 (5.67)
Median [Q1,Q3]	4.00 [2.00,7.00]	4.00 [2.00,6.00]	4.00 [2.00,7.00]
n_90
Mean (SD)	0.807 (1.03)	0.764 (0.968)	0.783 (0.994)
Median [Q1,Q3]	1.00 [0,1.00]	1.00 [0,1.00]	1.00 [0,1.00]
n_180
Mean (SD)	1.44 (1.73)	1.15 (1.44)	1.28 (1.57)
Median [Q1,Q3]	1.00 [0,2.00]	1.00 [0,1.00]	1.00 [0,2.00]
LOS
Mean (SD)	8.92 (8.06)	10.1 (10.5)	9.57 (9.52)
Median [Q1,Q3]	6.00 [3.00,12.0]	6.00 [4.00,12.0]	6.00 [3.00,12.0]

BWH

2025-06-17

Balance check after

Table 1

Univariate negative‐binomial regression outcome los

Multivariate negative‐binomial regression los: gender race

Multivariate negative‐binomial regression los ： time+Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

90 days poisson regression: time

90 days poisson regression: time Gender Race_Group

90 days poisson regression： time+ Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

180 days poisson regression: time

180 days poisson regression： Age Gender Race_Group

180 days poisson regression： time+Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

Univariate coxph decongestion_time_days

coxph decongestion_time_days :gender race

coxph decongestion_time_days :time+Gender+Race_Group+DM+Dialysis_Vintage+HF_score_Total

decongestion_time_days,n_90,n_180,los