Table 4.

RT-PCR test sensitivity analysis—estimated risk differences for single risk factors.

	n	E(RD) (min, max)	E(RATE) (min, max)	largest RATE P-value
Full population	88,818	2.9 (2.8 to 3.0)	9.7 (8.0, 11.0)	5.4 · 10−10
Female	57,087	3.4 (3.4 to 3.6)	−5.5 (−6.5, −5.0)	7.5 · 10−9a
Male	31,731	1.9 (1.8 to 2.0)
Older than 50 years	40,439	3.7 (3.6 to 3.8)	8.8 (8.3, 9.7)	2.0 · 10−10b
Fibromyalgia	803	9.1 (8.5 to 9.8)	2.6 (2.4, 3.0)	0.003
COPD or other lung disease	1197	5.8 (5.2 to 6.7)	1.7 (1.4, 2.2)	0.089
Diabetes	2980	5.6 (5.0 to 6.2)	3.2 (2.6, 3.9)	0.010
Post-traumatic stress disorder	1757	5.0 (4.2 to 5.9)	1.6 (1.0, 2.4)	0.253
High BMI	14,700	5.0 (4.6 to 5.2)	8.3 (7.2, 8.9)	2.7 · 10−9
Depression	10,715	5.0 (4.6 to 5.3)	6.0 (4.8, 7.1)	3.6 · 10−5
Chronic asthma	6335	4.7 (4.3 to 5.0)	3.6 (2.9, 4.1)	0.005
High blood pressure	9817	4.5 (4.1 to 4.9)	4.3 (3.2, 5.4)	0.006
Chronic or frequent headaches	3593	4.4 (3.6 to 5.1)	2.0 (1.0, 2.9)	0.341
Chronic fatigue syndrome	1345	2.8 (1.7 to 4.1)	−0.1 (−0.7, 0.7)	0.986
Anxiety	7425	3.2 (2.6 to 3.2)	−0.1 (−0.6, 0.6)	0.996

Results of sensitivity analysis where false negatives and false positives are sampled from test negatives and test positives and moved to the correct exposure group. Results are based on n = 20 simulations assuming a sensitivity of 90% and a specificity of 99%. Results were obtained using CF and AIPW for substantial full-time sick leave taken 4 weeks to 9 months after the test date between SARS-CoV-2 test-positives and test-negatives for the total study population and possible PCC risk groups. All RATEs in the table have been multiplied by 1000.

^a The RATE P-value tests for a difference in RDs between females and males. The variable importance scores split on sex.

^bThe RATE P-value tests for heterogeneity along the continuous age. The variable importance scores split on the continuous age variable.