Abstract: 
					  Objective  To investigate the effects of Internet of Things (IoT)-based respiratory rehabilitation training on clinical symptoms, pulmonary function, and laboratory parameters in patients with community-acquired pneumonia (CAP).  Methods  A total of 176 CAP patients admitted to a Level A Tertiary hospital in Hebei Province between July 2023 and December 2024 were enrolled in the study, and assigned to either an experimental group (n=88) or a control group (n=88) using a random number table method. The two groups received standard medical care; however, the experimental group also additionally underwent IoT-based respiratory training with a portable breathing device. A comprehensive evaluation of the clinical outcomes was conducted, encompassing various parameters, such as physiological indicators, the severity of symptoms, laboratory markers, imaging findings, pulmonary function and nutritional status. These outcomes were assessed at three distinct time points: baseline, 7 days post-intervention, and 14 days post-intervention.  Results  At the 7-day follow-up, the experimental group exhibited significant improvements compared to controls in CRP reduction [6.00 (3.00, 11.00) mg/L vs. 6.00 (5.00, 15.00) mg/L], PCT normalization [0.03 (0.02, 0.05) ng/mL vs. 0.03 (0.02, 0.08) ng/mL], forced expiratory volume in the first second [FEV1, 2.56 (1.96, 3.20) L vs. 2.23 (1.03, 2.78) L], maximum inspiratory pressure [MIP, 50 (36, 71) cmH2O vs. 41 (32, 64) cmH2O, 1 cmH2O=0.098 kPa], and cough severity scores [7 (7, 8) vs. 10 (9, 11), P < 0.05]. By day 14, further enhancements were observed in FEV1 [2.83 (2.15, 3.44) L vs. 2.59 (1.84, 3.14) L], forced vital capacity [FVC, 4.10 (3.28, 5.02) L vs. 3.17 (2.38, 4.06) L], MIP [64 (52, 78) cmH2O vs. 60 (46, 72) cmH2O], maximum expiratory pressure [MEP, 88 (76, 117) cmH2O vs. 80 (62, 108) cmH2O] with all comparisons showing statistical significance (P < 0.05). During the intervention period, no adverse reactions occurred in either the experimental group or the control group.  Conclusion  The findings of this study demonstrate that IoT-facilitated respiratory rehabilitation effectively alleviates systemic inflammation, improves pulmonary mechanics, and accelerates clinical recovery in CAP patients.